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Library Research Methods

• Evaluating Websites
• Citing Sources
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(Adapted from Thomas Mann, Library Research Models )

Keyword searches . Search relevant keywords in catalogs, indexes, search engines, and full-text resources. Useful both to narrow a search to the specific subject heading and to find sources not captured under a relevant subject heading. To search a database effectively, start with a Keyword search, find relevant records, and then find relevant Subject Headings. In search engines, include many keywords to narrow the search and carefully evaluate what you find.

Subject searches .  Subject Headings (sometimes called Descriptors) are specific terms or phrases used consistently by online or print indexes to describe what a book or journal article is about. This is true of the library’s Catalog as well as many other library databases . 

Look for recent, scholarly books and articles. Within catalogs and databases, sort by the most recent date and look for books from scholarly presses and articles from scholarly journals. The more recent the source, the more up-to-date the references and citations.

Citation searches in scholarly sources .  Track down references, footnotes, endnotes, citations, etc. within relevant readings. Search for specific books or journals in the library’s Catalog . This technique helps you become part of the scholarly conversation on a particular topic.

Searches through published bibliographies (including sets of footnotes in relevant subject documents).  Published bibliographies on particular subjects (Shakespeare, alcoholism, etc.) often list sources missed through other kinds of searches. BIBLIOGRAPHY is a subject heading in the Catalog , so a Guided Search with BIBLIOGRAPHY as a Subject and your topic as a keyword will help you find these.

Searches through people sources (whether by verbal contact, e-mail, etc.). People are often more willing to help than you might think. The people to start with are often professors with relevant knowledge or librarians.

Systematic browsing, especially of full-text sources arranged in predictable subject groupings . Libraries organize books by subject, with similar books shelved together.  Browsing the stacks is a good way to find similar books; however, in large libraries, some books are not in the main stacks (e.g., they might be checked out or in ReCAP), so use the catalog as well.

The advantages of trying all these research methods are that:

Each of these ways of searching is applicable in any subject area

None of them is confined exclusively to English-language sources

Each has both strengths and weaknesses, advantages and disadvantages

The weaknesses within any one method are balanced by the strengths of the others

The strength of each is precisely that it is capable of turning up information or knowledge records that cannot be found efficiently—or often even at all—by any of the others

How to Gut a (Scholarly) Book in 5 Almost-easy Steps

Evaluating sources.

From Wayne C. Booth et al., The Craft of Research , 4th ed., pp.76-79

5.4 EVALUATING SOURCES FOR RELEVANCE AND RELIABILITY When you start looking for sources, you’ll find more than you can use, so you must quickly evaluate their usefulness; use two criteria: relevance and reliability.

5.4.1 Evaluating Sources for Relevance

If your source is a book, do this:

• Skim its index for your key words, then skim the pages on which those words occur.
• Skim the first and last paragraphs in chapters that use a lot of your key words.
• Skim prologues, introductions, summary chapters, and so on.
• Skim the last chapter, especially the >rst and last two or three pages.
• If the source is a collection of articles, skim the editor’s introduction.
• Check the bibliography for titles relevant to your topic.

If your source is an article, do this:

• Read the abstract, if it has one.
• Skim the introduction and conclusion, or if they are not marked by headings, skim the first six or seven paragraphs and the last four or five.
• Skim for section headings, and read the first and last paragraphs of those sections.

If your source is online, do this:

• If it looks like a printed article, follow the steps for a journal article.
• Skim sections labeled “introduction,” “overview,” “summary,” or the like. If there are none, look for a link labeled “About the Site” or something similar.
• If the site has a link labeled “Site Map” or “Index,” check it for your key words and skim the referenced pages.
• If the site has a “search” resource, type in your key words.

This kind of speedy reading can guide your own writing and revision. If you do not structure your report so your readers can skim it quickly and see the outlines of your argument, your report has a problem, an issue we discuss in chapters 12 and 14.

5.4.2 Evaluating Sources for Reliability You can’t judge a source until you read it, but there are signs of its reliability:

1. Is the source published or posted online by a reputable press? Most university presses are reliable, especially if you recognize the name of the university. Some commercial presses are reliable in some fields, such as Norton in literature, Ablex in sciences, or West in law. Be skeptical of a commercial book that makes sensational claims, even if its author has a PhD after his name. Be especially careful about sources on hotly contested social issues such as stem-cell research, gun control, and global warming. Many books and articles are published by individuals or organizations driven by ideology. Libraries often include them for the sake of coverage, but don’t assume they are reliable.

2. Was the book or article peer-reviewed? Most reputable presses and journals ask experts to review a book or article before it is published; it is called “peer review.” Many essay collections, however, are reviewed only by the named editor(s). Few commercial magazines use peer review. If a publication hasn’t been peer-reviewed, be suspicious.

3. Is the author a reputable scholar? This is hard to answer if you are new to a field. Most publications cite an author’s academic credentials; you can find more with a search engine. Most established scholars are reliable, but be cautious if the topic is a contested social issue such as gun control or abortion. Even reputable scholars can have axes to grind, especially if their research is financially supported by a special interest group. Go online to check out anyone an author thanks for support, including foundations that supported her work.

4. If the source is available only online, is it sponsored by a reputable organization? A Web site is only as reliable as its sponsor. You can usually trust one sponsored and maintained by a reputable organization. But if the site has not been updated recently, it may have been abandoned and is no longer endorsed by its sponsor. Some sites supported by individuals are reliable; most are not. Do a Web search for the name of the sponsor to find out more about it.

5. Is the source current? You must use up-to-date sources, but what counts as current depends on the field. In computer science, a journal article can be out-of-date in months; in the social sciences, ten years pushes the limit. Publications have a longer life in the humanities: in philosophy, primary sources are current for centuries, secondary ones for decades. In general, a source that sets out a major position or theory that other researchers accept will stay current longer than those that respond to or develop it. Assume that most textbooks are not current (except, of course, this one).

If you don’t know how to gauge currency in your field, look at the dates of articles in the works cited of a new book or article: you can cite works as old as the older ones in that list (but perhaps not as old as the oldest). Try to find a standard edition of primary works such as novels, plays, letters, and so on (it is usually not the most recent). Be sure that you consult the most recent edition of a secondary or tertiary source (researchers often change their views, even rejecting ones they espoused in earlier editions).

6. If the source is a book, does it have a notes and a bibliography? If not, be suspicious, because you have no way to follow up on anything the source claims.

7. If the source is a Web site, does it include bibliographical data? You cannot know how to judge the reliability of a site that does not indicate who sponsors and maintains it, who wrote what’s posted there, and when it was posted or last updated.

8. If the source is a Web site, does it approach its topic judiciously? Your readers are unlikely to trust a site that engages in heated advocacy, attacks those who disagree, makes wild claims, uses abusive language, or makes errors of spelling, punctuation, and grammar.

The following criteria are particularly important for advanced students:

9. If the source is a book, has it been well reviewed? Many fields have indexes to published reviews that tell you how others evaluate a source.

10. Has the source been frequently cited by others? You can roughly estimate how influential a source is by how often others cite it. To determine that, consult a citation index.

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Home > Books > Qualitative versus Quantitative Research

Research Methods in Library and Information Science

Submitted: 28 October 2016 Reviewed: 23 March 2017 Published: 28 June 2017

DOI: 10.5772/intechopen.68749

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Qualitative versus Quantitative Research

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Library and information science (LIS) is a very broad discipline, which uses a wide rangeof constantly evolving research strategies and techniques. The aim of this chapter is to provide an updated view of research issues in library and information science. A stratified random sample of 440 articles published in five prominent journals was analyzed and classified to identify (i) research approach, (ii) research methodology, and (iii) method of data analysis. For each variable, a coding scheme was developed, and the articles were coded accordingly. A total of 78% of the articles reported empirical research. The rest 22% were classified as non‐empirical research papers. The five most popular topics were “information retrieval,” “information behaviour,” “information literacy,” “library services,” and “organization and management.” An overwhelming majority of the empirical research articles employed a quantitative approach. Although the survey emerged as the most frequently used research strategy, there is evidence that the number and variety of research methodologies have been increased. There is also evidence that qualitative approaches are gaining increasing importance and have a role to play in LIS, while mixed methods have not yet gained enough recognition in LIS research.

• library and information science
• research methods
• research strategies
• data analysis techniques
• research articles

Author Information

Aspasia togia *.

• Department of Library Science & Information Systems, Technological Educational Institute (TEI) of Thessaloniki, Greece

Afrodite Malliari

• DataScouting, Thessaloniki, Greece

*Address all correspondence to: [email protected]

1. Introduction

Library and information science (LIS), as its name indicates, is a merging of librarianship and information science that took place in the 1960s [ 1 , 2 ]. LIS is a field of both professional practice and scientific inquiry. As a field of practice, it includes the profession of librarianship as well as a number of other information professions, all of which assume the interplay of the following:

information content,

the people who interact with the content, and

the technology used to facilitate the creation, communication, storage, or transformation of the content [ 3 ].

The disciplinary foundation of LIS, which began in the 1920s, aimed at providing a theoretical foundation for the library profession. LIS has evolved in close relationship with other fields of research, especially computer science, communication studies, and cognitive sciences [ 4 ].

The connection of LIS with professional practice, on one hand, and other research fields on the other has influenced its research orientation and the development of methodological tools and theoretical perspectives [ 5 ]. Research problems are diverse, depending on the research direction, local trends, etc. Most of them relate to the professional practice although there are theoretical research statements as well. LIS research strives to address important information issues, such as these of “ information retrieval, information quality and authenticity, policy for access and preservation, the health and security applications of data mining ”(p. 3) [ 6 ]. The research is multidisciplinary in nature, and it has been heavily influenced by research designs developed in the social, behavioral, and management sciences and to a lesser extent by the theoretical inquiry adopted in the humanities [ 7 ]. Methods used in information retrieval research have been adapted from computer science. The emergence of evidence‐based librarianship in the late 1990s brought a positivist approach to LIS research, since it incorporated many of the research designs and methods used in clinical medicine [ 7 , 8 ]. In addition, LIS has developed its own methodological approaches, a prominent example of which is bibliometrics. Bibliometrics, which can be defined as “ the use of mathematical and statistical methods to study documents and patterns of publication ” (p. 38) [ 9 ], is a native research methodology, which has been extensively used outside the field, especially in science studies [ 10 ].

Library and information science research has been often criticized as being fragmentary, narrowly focused, and oriented to practical problems [ 11 ]. Many authors have noticed limited use of theory in published research and have advocated greater use of theory as a conceptual basis in LIS research [ 4 , 11 – 14 ]. Feehan et al. [ 13 ] claimed that LIS literature has not evolved enough to support a rigid body of its own theoretical basis. Jarvelin and Vakkari [ 15 ] argued that LIS theories are usually vague and conceptually unclear, and that research in LIS has been dominated by a paradigm which “ has made little use of such traditional scientific approaches as foundations and conceptual analysis, or of scientific explanation and theory formulation ” (p. 415). This lack of theoretical contributions may be associated with the fact that LIS emanated from professional practice and is therefore closely linked to practical problems such as the processing and organization of library materials, documentation, and information retrieval [ 15 , 16 ].

In this chapter, after briefly discussing the role of theory in LIS research, we provide an updated view of research issues in the field that will help scholars and students stay informed about topics related to research strategies and methods. To accomplish this, we describe and analyze patterns of LIS research activity as reflected in prominent library journals. The analysis of the articles highlights trends and recurring themes in LIS research regarding the use of multiple methods, the adoption of qualitative approaches, and the employment of advanced techniques for data analysis and interpretation [ 17 ].

2. The role of theory in LIS research

The presence of theory is an indication of research eminence and respectability [ 18 ], as well as a feature of discipline’s maturity [ 19 , 20 ]. Theory has been defined in many ways. “ Any of the following have been used as the meaning of theory: a law, a hypothesis, group of hypotheses, proposition, supposition, explanation, model, assumption, conjecture, construct, edifice, structure, opinion, speculation, belief, principle, rule, point of view, generalization, scheme, or idea ” (p. 309) [ 21 ]. A theory can be described as “ a set of interrelated concepts, definitions, and propositions that explains or predicts events or situations by specifying relations among variables ” [ 22 ]. According to Babbie [ 23 ], research is “ a systematic explanation for the observed facts and laws that related to a particular aspect of life ” (p. 49). It is “ a multiple‐level component of the research process, comprising a range of generalizations that move beyond a descriptive level to a more explanatory level ” [ 24 ] (p. 319). The role of theory in social sciences is, among other things, to explain and predict behavior, be usable in practical applications, and guide research [ 25 ]. According to Smiraglia [ 26 ], theory does not exist in a vacuum but in a system that explains the domains of human actions, the phenomena found in these domains, and the ways in which they are affected. He maintains that theory is developed by systematically observing phenomena, either in the positivist empirical research paradigm or in the qualitative hermeneutic paradigm. Theory is used to formulate hypotheses in quantitative research and confirms observations in qualitative research.

Glazier and Grover [ 24 ] proposed a model for theory‐building in LIS called “circuits of theory.” The model includes taxonomy of theory, developed earlier by the authors [ 11 ], and the critical social and psychological factors that influence research. The purpose of the taxonomy was to demonstrate the relationships among the concepts of research, theory, paradigms, and phenomena. Phenomena are described as “ events experienced in the empirical world ” (p. 230) [ 11 ]. Researchers assign symbols (digital or iconic representations, usually words or pictures) to phenomena, and meaning to symbols, and then they conceptualize the relationships among phenomena and formulate hypotheses and research questions. “ In the taxonomy, empirical research begins with the formation of research questions to be answered about the concepts or hypotheses for testing the concepts within a narrow set of predetermined parameters ” (p. 323) [ 24 ]. Various levels of theories, with implications for research in library and information Science, are described. The first theory level, called substantive theory , is defined as “ a set of propositions which furnish an explanation for an applied area of inquiry ” (p. 233) [ 11 ]. In fact, it may not be viewed as a theory but rather be considered as a research hypothesis that has been tested or even a research finding [ 16 ]. The next level of theory, called formal theory , is defined as “ a set of propositions which furnish an explanation for a formal or conceptual area of inquiry, that is, a discipline ” (p. 234) [ 11 ]. Substantive and formal theories together are usually considered as “middle range” theory in the social sciences. Their difference lies in the ability to structure generalizations and the potential for explanation and prediction. The final level, grand theory , is “ a set of theories or generalizations that transcend the borders of disciplines to explain relationships among phenomena ” (p. 321) [ 24 ]. According to the authors, most research generates substantive level theory, or, alternatively, researchers borrow theory from the appropriate discipline, apply it to the problem under investigation, and reconstruct the theory at the substantive level. Next in the hierarchy of theoretical categories is the paradigm , which is described as “ a framework of basic assumptions with which perceptions are evaluated and relationships are delineated and applied to a discipline or profession ” (p. 234) [ 11 ]. Finally, the most significant theoretical category is the world view , which is defined as “ an individual’s accepted knowledge, including values and assumptions, which provide a ‘filter’ for perception of all phenomena ” (p. 235) [ 11 ]. All the previous categories contribute to shaping the individual’s worldview. In the revised model, which places more emphasis on the impact of social environment on the research process, research and theory building is surrounded by a system of three basic contextual modules: the self, society, and knowledge, both discovered and undiscovered. The interactions and dialectical relationships of these three modules affect the research process and create a dynamic environment that fosters theory creation and development. The authors argue that their model will help researchers build theories that enable generalizations beyond the conclusions drawn from empirical data [ 24 ].

In an effort to propose a framework for a unified theory of librarianship, McGrath [ 27 ] reviewed research articles in the areas of publishing, acquisitions, classification and knowledge organization, storage, preservation and collection management, library collections, and circulations. In his study, he included articles that employed explanatory and predictive statistical methods to explore relationships between variables within and between the above subfields of LIS. For each paper reviewed, he identified the dependent variable, significant independent variables, and the units of analysis. The review displayed explanatory studies “ in nearly every level, with the possible exception of classification, while studies in circulation and use of the library were clearly dominant. A recapitulation showed that a variable at one level may be a unit of analysis at another, a property of explanatory research crucial to the development of theory, which has been either ignored or unrecognized in LIS literature ” (p. 368) [ 27 ]. The author concluded that “explanatory and predictive relationships do exist and that they can be useful in constructing a comprehensive unified theory of librarianship” (p. 368) [ 27 ].

Recent LIS literature provides several analyses of theory development and use in the field. In a longitudinal analysis of information needs and uses of literature, Julien and Duggan [ 28 ] investigated, among other things, to what extent LIS literature was grounded in theory. Articles “ based on a coherent and explicit framework of assumptions, definitions, and propositions that, taken together, have some explanatory power ” (p. 294) were classified as theoretical articles. Results showed that only 18.3% of the research studies identified in the sample of articles examined were theoretically grounded.

Pettigrew and McKechnie [ 29 ] analyzed 1160 journal articles published between 1993 and 1998 to determine the level of theory use in information science research. In the absence of a singular definition of theory that would cover all the different uses of the term in the sample of articles, they operationalized “theory” according to authors’ use of the term. They found that 34.1% of the articles incorporated theory, with the largest percentage of theories drawn from the social sciences. Information science itself was the second most important source of theories. The authors argued that this significant increase in theory use in comparison to earlier studies could be explained by the research‐oriented journals they selected for examination, the sample time, and the broad way in which they defined “theory.” With regard to this last point, that is, their approach of identifying theories only if the author(s) describe them as such in the article, Pettigrew and McKechnie [ 29 ] observed significant differences in how information science researchers perceive theory:

Although it is possible that conceptual differences regarding the nature of theory may be due to the different disciplinary backgrounds of researchers in IS, other themes emerged from our data that suggest a general confusion exists about theory even within subfields. Numerous examples came to light during our analysis in which an author would simultaneously refer to something as a theory and a method, or as a theory and a model, or as a theory and a reported finding. In other words, it seems as though authors, themselves, are sometimes unsure about what constitutes theory. Questions even arose regarding whether the author to whom a theory was credited would him or herself consider his or her work as theory (p. 68).

Kim and Jeong [ 16 ] examined the state and characteristics of theoretical research in LIS journals between 1984 and 2003. They focused on the “theory incident,” which is described as “an event in which the author contributes to the development or the use of theory in his/her paper.” Their study adopted Glazier and Grover’s [ 24 ] model of “circuits of theory.” Substantive level theory was operationalized to a tested hypothesis or an observed relationship, while both formal and grand level theories were identified when they were named as “theory,” “model,” or “law” by authors other than those who had developed them. Results demonstrated that the application of theory was present in 41.4% of the articles examined, signifying a significant increase in the proportion of theoretical articles as compared to previous studies. Moreover, it was evident that both theory development and theory use had increased by the year. Information seeking and use, and information retrieval, were identified as the subfields with the most significant contribution to the development of the theoretical framework.

In a more in‐depth analysis of theory use in Kumasi et al. [ 30 ] qualitatively analyzed the extent to which theory is meaningfully used in scholarly literature. For this purpose, they developed a theory talk coding scheme, which included six analytical categories, describing how theory is discussed in a study. The intensity of theory talk in the articles was described across a continuum from minimal (e.g., theory is discussed in literature review and not mentioned later) through moderate (e.g., multiple theories are introduced but without discussing their relevance to the study) to major (e.g., theory is employed throughout the study). Their findings seem to support the opinion that “ LIS discipline has been focused on the application of specific theoretical frameworks rather than the generation of new theories ” (p. 179) [ 30 ]. Another point the authors made was about the multiple terms used in the articles to describe theory. Words such as “framework,” “model,” or “theory” were used interchangeably by scholars.

It is evident from the above discussion that the treatment of theory in LIS research covers a spectrum of intensity, from marginal mentions to theory revising, expanding, or building. Recent analyses of the published scholarship indicate that the field has not been very successful in contributing to existing theory or producing new theory. In spite of this, one may still assert that LIS research employs theory, and, in fact, there are many theories that have been used or generated by LIS scholars. However, “ calls for additional and novel theory development work in LIS continue, particularly for theories that might help to address the research practice gap ” (p. 12) [ 31 ].

3. Research strategies in LIS

3.1. surveys of research methods.

LIS is a very broad discipline, which uses a wide range of constantly evolving research strategies and techniques [ 32 ]. Various classification schemes have been developed to analyze methods employed in LIS research (e.g., [ 13 , 15 , 17 , 33 – 35 , 38 ]). Back in 1996, in the “research record” column of the Journal of Education for Library and Information Science, Kim [ 36 ] synthesized previous categories and definitions and introduced a list of research strategies, including data collection and analysis methods. The listing included four general research strategies: (i) theoretical/philosophical inquiry (development of conceptual models or frameworks), (ii) bibliographic research (descriptive studies of books and their properties as well as bibliographies of various kinds), (iii) R&D (development of storage and retrieval systems, software, interface, etc.), and (iv) action research, it aims at solving problems and bringing about change in organizations. Strategies are then divided into quantitative and qualitative driven. In the first category are included descriptive studies, predictive/explanatory studies, bibliometric studies, content analysis, and operation research studies. Qualitative‐driven strategies are considered the following: case study, biographical method, historical method, grounded theory, ethnography, phenomenology, symbolic interactionism/semiotics, sociolinguistics/discourse analysis/ethnographic semantics/ethnography of communication, and hermeneutics/interpretive interactionism (p. 378–380) [ 36 ].

Systematic studies of research methods in LIS started in the 1980s and several reviews of the literature have been conducted over the past years to analyze the topics, methodologies, and quality of research. One of the earliest studies was done by Peritz [ 37 ] who carried out a bibliometric analysis of the articles published in 39 core LIS journals between 1950 and 1975. She examined the methodologies used, the type of library or organization investigated, the type of activity investigated, and the institutional affiliation of the authors. The most important findings were a clear orientation toward library and information service activities, a widespread use of the survey methodology, a considerable increase of research articles after 1960, and a significant increase in theoretical studies after 1965.

Nour [ 38 ] followed up on Peritz’s [ 37 ] work and studied research articles published in 41 selected journals during the year 1980. She found that survey and theoretical/analytic methodologies were the most popular, followed by bibliometrics. Comparing these findings to those made by Peritz [ 37 ], Nour [ 38 ] found that the amount of research continued to increase, but the proportion of research articles to all articles had been decreasing since 1975.

Feehan et al. [ 13 ] described how LIS research published during 1984 was distributed over various topics and what methods had been used to study these topics. Their analysis revealed a predominance of survey and historical methods and a notable percentage of articles using more than one research method. Following a different approach, Enger et al. (1989) focused on the statistical methods used by LIS researchers in articles published during 1985 [ 39 ]. They found that only one out of three of the articles reported any use of statistics. Of those, 21% used descriptive statistics and 11% inferential statistics. In addition, the authors found that researchers from disciplines other than LIS made the highest use of statistics and LIS faculty showed the highest use of inferential statistics.

An influential work, against which later studies have been compared, is that of Jarvelin and Vakkari [ 15 ] who studied LIS articles published in 1985 in order to determine how research was distributed over various subjects, what approaches had been taken by the authors, and what research strategies had been used. The authors replicated their study later to include older research published between 1965 and 1985 [ 40 ]. The main finding of these studies was that the trends and characteristics of LIS research remained more or less the same over the aforementioned period of 20 years. The most common topics were information service activities and information storage and retrieval. Empirical research strategies were predominant, and of them, the most frequent was the survey. Kumpulainen [ 41 ], in an effort to provide a continuum with Jarvelin and Vakkeri’s [ 15 ] study, analyzed 632 articles sampled from 30 core LIS journals with respect to various characteristics, including topics, aspect of activity, research method, data selection method, and data analysis techniques. She used the same classification scheme, and she selected the journals based on a slightly modified version of Jarvelin and Vakkari’s [ 15 ] list. Library services and information storage and retrieval emerged again as the most common subjects approached by the authors and survey was the most frequently used method.

More recent studies of this nature include those conducted by Koufogiannakis et al. [ 42 ], Hildreth and Aytac [ 43 ], Hider and Pymm [ 32 ], and Chu [ 17 ]. Koufogiannakis et al. [ 42 ] examined research articles published in 2001 and they found that the majority of them were questionnaire‐based descriptive studies. Comparative, bibliometrics, content analysis, and program evaluation studies were also popular. Information storage and retrieval emerged as the predominant subject area, followed by library collections and management. Hildreth and Aytac [ 43 ] presented a review of the 2003–2005 published library research with special focus on methodology issues and the quality of published articles of both practitioners and academic scholars. They found that most research was descriptive and the most frequent method for data collection was the questionnaire, followed by content analysis and interviews. With regard to data analysis, more researchers used quantitative methods, considerably less used qualitative‐only methods, whereas 61 out of 206 studies included some kind of qualitative analysis, raising the total percentage of qualitative methods to nearly 50%. With regard to the quality of published research, the authors argued that “ the majority of the reports are detailed, comprehensive, and well‐organized ” (p. 254) [ 43 ]. Still, they noticed that the majority of reports did not mention the critical issues of research validity and reliability and neither did they indicate study limitations or future research recommendations. Hider and Pymm [ 32 ] described content analysis of LIS literature “ which aimed to identify the most common strategies and techniques employed by LIS researchers carrying out high‐profile empirical research ” (p. 109). Their results suggested that while researchers employed a wide variety of strategies, they mostly used surveys and experiments. They also observed that although quantitative research accounted for more than 50% of the articles, there was an increase in the use of most sophisticated qualitative methods. Chu [ 17 ] analyzed the research articles published between 2001 and 2010 in three major journals and reported the following most frequent research methods: theoretical approach (e.g., conceptual analysis), content analysis, questionnaire, interview, experiment, and bibliometrics. Her study showed an increase in both the number and variety of research methods but lack of growth in the use of qualitative research or in the adoption of multiple research methods.

In summary, the literature shows a continued interest in the analysis of published LIS research. Approaches include focusing on particular publication years, geographic areas, journal titles, aspects of LIS, and specific characteristics, such as subjects, authorship, and research methods. Despite the abundance of content analyses of LIS literature, the findings are not easily comparable due to differences in the number and titles of journals examined, in the types of the papers selected for analysis, in the periods covered, and in classification schemes developed by the authors to categorize article topics and research strategies. Despite the differences, some findings are consistent among all studies:

Information seeking, information retrieval, and library and information service activities are among the most common subjects studied,

Descriptive research methodologies based on surveys and questionnaires predominate,

Over the years, there has been a considerable increase in the array of research approaches used to explore library issues, and

Data analysis is usually limited to descriptive statistics, including frequencies, means, and standard deviations.

3.2. Data collection and analysis

Articles published between 2011 and 2016 were obtained from the following journals: Library and Information Science Research, College & Research Libraries, Journal of Documentation, Information Processing & Management, and Journal of Academic Librarianship ( Table 1 ). These five titles were selected as data sources because they have the highest 5‐year impact factor of the journals classified in Ulrich’s Serials Directory under the “Library and Information Sciences” subject heading. From the journals selected, only full‐length articles were collected. Editorials, book reviews, letters, interviews, commentaries, and news items were excluded from the analysis. This selection process yielded 1643 articles. A stratified random sample of 440 articles was chosen for in‐depth analysis ( Table 2 ). For the purpose of this study, five strata, corresponding to the five journals, were used. The sample size was determined using a margin of error, 4%, and confidence interval, 95%.

Table 1.

Profile of the journals.

Table 2.

Journal titles.

Each article was classified as either research or theoretical. Articles that employed specific research methodology and presented specific findings of original studies performed by the author(s) were considered research articles. The kind of study may vary (e.g., it could be an experiment, a survey, etc.), but in all cases, raw data had been collected and analyzed, and conclusions were drawn from the results of that analysis. Articles reporting research in system design or evaluation in the information systems field were also regarded as research articles . On the other hand, works that reviewed theories, theoretical concepts, or principles discussed topics of interest to researchers and professionals, or described research methodologies were regarded as theoretical articles [ 44 ] and were classified in the no‐empirical‐research category. In this category, were also included literature reviews and articles describing a project, a situation, a process, etc.

Each article was classified into a topical category according to its main subject. The articles classified as research were then further explored and analyzed to identify (i) research approach, (ii) research methodology, and (iii) method of data analysis. For each variable, a coding scheme was developed, and the articles were coded accordingly. The final list of the analysis codes was extracted inductively from the data itself, using as reference the taxonomies utilized in previous studies [ 15 , 32 , 43 , 45 ]. Research approaches “ are plans and procedures for research ” (p. 3) [ 46 ]. Research approaches can generally be grouped as qualitative, quantitative, and mixed methods studies. Quantitative studies aim at the systematic empirical investigation of quantitative properties or phenomena and their relationships. Qualitative research can be broadly defined as “ any kind of research that produces findings not arrived at by means of statistical procedures or other means of quantification ” (p. 17) [ 47 ]. It is a way to gain insights through discovering meanings and explaining phenomena based on the attributes of the data. In mixed model research, quantitative and qualitative approaches are combined within or across the stages of the research process. It was beyond the scope of this study to identify in which stages of a study—data collection, data analysis, and data interpretation—the mixing was applied or to reveal the types of mixing. Therefore, studies using both quantitative and qualitative methods, irrespective of whether they describe if and how the methods were integrated, were coded as mixed methods studies.

Research methodologies , or strategies of inquiry, are types of research models “ that provide specific direction for procedures in a research design ” (p. 11) [ 46 ] and inform the decisions concerning data collection and analysis. A coding schema of research methodologies was developed by the authors based on the analysis of all research articles included in the sample. The methodology classification included 12 categories ( Table 3 ). Each article was classified into one category for the variable research methodology . If more than one research strategy was mentioned (e.g., experiment and survey), the article was classified according to the main strategy.

Table 3.

Coding schema for research methodologies.

Methods of data analysis refer to the techniques used by the researchers to explore the original data and answer their research problems or questions. Data analysis for quantitative researches involves statistical analysis and interpretation of figures and numbers. In qualitative studies, on the other hand, data analysis involves identifying common patterns within the data and making interpretations of the meanings of the data. The array of data analysis methods included the following categories:

Descriptive statistics,

Inferential statistics,

Qualitative data analysis,

Experimental evaluation, and

Other methods,

Descriptive statistics are used to describe the basic features of the data in a study. Inferential statistics investigate questions, models, and hypotheses. Mathematical analysis refers to mathematic functions, etc. used mainly in bibliometric studies to answer research questions associated with citation data. Qualitative data analysis is the range of processes and procedures used for the exploration of qualitative data, from coding and descriptive analysis to identification of patterns and themes and the testing of emergent findings and hypotheses. It was used in this study as an overarching term encompassing various types of analysis, such as thematic analysis, discourse analysis, or grounded theory analysis. The class experimental evaluation was used for system and software analysis and design studies which assesses the newly developed algorithm, tool, method, etc. by performing experiments on selected datasets. In these cases, “experiments” differ from the experimental designs in social sciences. Methods that did not fall into one of these categories (e.g., mathematical analysis, visualization, or benchmarking) were classified as other methods . If both descriptive and inferential statistics were used in an article, only the inferential were recorded. In mixed methods studies, each method was recorded in the order in which it was reported in the article.

Ten percent of the articles were randomly selected and used to establish inter‐rater reliability and provide basic validation of the coding schema. Cohen’s kappa was calculated for each coded variable. The average Cohen’s kappa value was κ = 0.60, p < 0.000 (the highest was 0.63 and lowest was 0.59). This indicates a substantial agreement [ 48 ]. The coding disparities across raters were discussed, and the final codes were determined via consensus.

3.3. Results

3.3.1. topic.

Table 4 presents the distribution of articles over the various topics, for each of which a detailed description is provided. The five most popular topics of the papers in the total sample of 440 articles were “information retrieval,” “information behavior,” “information literacy,” “library services,” and “organization and management.” These areas cover over 60% of all topics studied in the papers. The least‐studied topics (covered in less than eight papers) fall into the categories of “information and knowledge management,” “library information systems,” “LIS theory,” and “infometrics.”

Table 4.

Article topics.

Figure 1 shows how the top five topics are distributed across journals. As expected, the topic “information retrieval” has higher publication frequencies in Information Processing & Management, a journal focusing on system design and issues related to the tools and techniques used in storage and retrieval of information. “Information literacy,” “information behavior,” “library services,” and “organization and management” appear to be distributed almost proportionately in College & Research Libraries. “Information literacy” seems to be a more preferred topic in the Journal of Academic Librarianship, while “information behavior” is more popular in the Journal of Documentation and Library & Information Science Research.

Figure 1.

Distribution of topics across journals.

3.3.2. Research approach and methodology

Of all articles examined, 343 articles, which represent the 78% of the sample, reported empirical research. The rest 22% (N = 97) were classified as non‐empirical research papers. Research articles were coded as quantitative, qualitative, or mixed methods studies. An overwhelming majority (70%) of the empirical research articles employed a quantitative research approach. Qualitative and mixed methods research was reported in 21.6 and 8.5% of the articles, respectively ( Figure 2 ).

Figure 2.

Research approach.

Table 5 presents the distribution of research approaches over the five most famous topics. The quantitative approach clearly prevails in all topics, especially in information retrieval research. However, qualitative designs seem to gain acceptance in all topics (except information retrieval), while in information behavior research, quantitative and qualitative approaches are almost evenly distributed. Mixed methods were quite frequent in information literacy and information behavior studies and less popular in the other topics.

Table 5.

Topics across research approach.

The most frequently used research strategy was survey, accounting for almost 37% of all research articles, followed by system and software analysis and design, a strategy used in this study specifically for research in information systems (Jarvelin & Vakkari, 1990). This result is influenced by the fact that Information Processing & Management addresses issues at the intersection between LIS and computer science, and the majority of its articles present the development of new tools, algorithms, methods and systems, and their experimental evaluation. The third‐ and fourth‐ranking strategies were content analysis and bibliometrics. Case study, experiment, and secondary data analysis were represented by 15 articles each, while the rest of the techniques were underrepresented with considerably fewer articles ( Table 6 ).

Table 6.

Research methodologies.

3.3.3. Methods of data analysis

Table 7 displays the frequencies for each type of data analysis.

Table 7.

Method of data analysis.

Almost half of the empirical research papers examined reported any use of statistics. Descriptive statistics, such as frequencies, means, or standard deviations, were more frequently used compared to inferential statistics, such as ANOVA, regression, or factor analysis. Nearly one‐third of the articles employed some type of qualitative data analysis either as the only method or—in mixed methods studies—in combination with quantitative techniques.

3.4. Discussions and conclusions

The patterns of LIS research activity as reflected in the articles published between 2011 and 2016 in five well‐established, peer‐reviewed journals were described and analyzed. LIS literature addresses many and diverse topics. Information retrieval, information behavior, and library services continue to attract the interest of researchers as they are core areas in library science. Information retrieval has been rated as one of the most famous areas of interest in research articles published between 1965 and 1985 [ 40 ]. According to Dimitroff [ 49 ], information retrieval was the second most popular topic in the articles published in the Bulletin of the Medical Library Association, while Cano [ 50 ] argued that LIS research produced in Spain from 1977 to 1994 was mostly centered on information retrieval and library and information services. In addition, Koufogiannakis et al. [ 42 ] found that information access and retrieval were the domain with the most research, and in Hildreth and Aytac’s [ 43 ] study, most articles were dealing with issues related to users (needs, behavior, information seeking, etc.), services, and collections. The present study provides evidence that the amount of research in information literacy is increasing, presumably due to the growing importance of information literacy instruction in libraries. In recent years, there is an ongoing educational role for librarians, who are more and more actively engaging in the teaching and learning processes, a trend that is reflected in the research output.

With regard to research methodologies, the present study seems to confirm the well‐documented predominance of survey in LIS research. According to Dimitroff [ 49 ], the percentage related to use of survey research methods reported in various studies varied between 20.3 and 41.5%. Powell [ 51 ], in a review of the research methods appearing in LIS literature, pointed out that survey had consistently been the most common type of study in both dissertations and journal articles. Survey reported the most widely used research design by Jarvelin and Vakkari [ 40 ], Crawford [ 52 ], Hildreth and Aytac [ 43 ], and Hider and Pymm [ 32 ]. The majority of articles examined by Koufogiannakis et al. [ 42 ] were descriptive studies using questionnaires/surveys. In addition, survey methods represented the largest proportion of methods used in information behavior articles analyzed by Julien et al. [ 53 ]. There is no doubt that survey has been used more than any other method in LIS research. As Jarvelin and Vakkari [ 15 ] put it, “it appears that the field is so survey‐oriented that almost all problems are seen through a survey viewpoint” (p. 416). Much of survey’s popularity can be ascribed to its being a well‐known, understood, easily conducted, and inexpensive method, which is easy to analyze results [ 41 , 42 ]. However, our findings suggest that while the survey ranks high, a variety of other methods have been also used in the research articles. Content analysis emerged as the third‐most frequent strategy, a finding similar to those of previous studies [ 17 , 32 ]. Although content analysis was not regarded by LIS researchers as a favored research method until recently, its popularity seems to be growing [ 17 ].

Quantitative approaches, which dominate, tend to rely on frequency counts, percentages, and descriptive statistics used to describe the basic features of the data in a study. Fewer studies used advanced statistical analysis techniques, such as t‐tests, correlation, and regressions, while there were some examples of more sophisticated methods, such as factor analysis, ANOVA, MANOVA, and structural equation modeling. Researchers engaging in quantitative research designs should take into consideration the use of inferential statistics, which enables the generalization from the sample being studied to the population of interest and, if used appropriately, are very useful for hypothesis testing. In addition, multivariate statistics are suitable for examining the relationships among variables, revealing patterns and understanding complex phenomena.

The findings also suggest that qualitative approaches are gaining increasing importance and have a role to play in LIS studies. These results are comparable to the findings of Hider and Pymm [ 32 ], who observed significant increases for qualitative research strategies in contemporary LIS literature. Qualitative analysis description varied widely, reflecting the diverse perspectives, analysis methods, and levels of depth of analysis. Commonly used terms in the articles included coding, content analysis, thematic analysis, thematic analytical approach, theme, or pattern identification. One could argue that the efforts made to encourage and promote qualitative methods in LIS research [ 54 , 55 ] have made some impact. However, qualitative research methods do not seem to be adequately utilized by library researchers and practitioners, despite their potential to offer far more illuminating ways to study library‐related issues [ 56 ]. LIS research has much to gain from the interpretive paradigm underpinning qualitative methods. This paradigm assumes that social reality is

the product of processes by which social actors together negotiate the meanings for actions and situations; it is a complex of socially constructed meanings. Human experience involves a process of interpretation rather than sensory, material apprehension of the external physical world and human behavior depends on how individuals interpret the conditions in which they find themselves. Social reality is not some ‘thing’ that may be interpreted in different ways, it is those interpretations (p. 96) [ 57 ].

As stated in the introduction of this chapter, library and information science focuses on the interaction between individuals and information. In every area of LIS research, the connection of factors that lead to and influence this interaction is increasingly complex. Qualitative research searches for “ all aspects of that complexity on the grounds that they are essential to understanding the behavior of which they are a part ” (p. 241) [ 59 ]. Qualitative research designs can offer a more in‐depth analysis of library users, their needs, attitudes, and behaviors.

The use of mixed methods designs was found to be rather rare. While Hildreth and Aytac [ 43 ] found higher percentages of studies using combined methods in data analysis, our results are analogous to those shown by Fidel [ 60 ]. In fact, as in her study, only few of the articles analyzed referred to mixed methods research by name, a finding indicating that “ the concept has not yet gained recognition in LIS research ” (p. 268). Mixed methods research has become an established research approach in the social sciences as it minimizes the weaknesses of quantitative and qualitative research alone and allows researchers to investigate the phenomena more completely [ 58 ].

In conclusion, there is evidence that LIS researchers employ a large number and wide variety of research methodologies. Each research approach, strategy, and method has its advantages and limitations. If the aim of the study is to confirm hypotheses about phenomena or measure and analyze the causal relationships between variables, then quantitative methods might be used. If the research seeks to explore, understand, and explain phenomena then qualitative methods might be used. Researchers can consider the full range of possibilities and make their selection based on the philosophical assumptions they bring to the study, the research problem being addressed, their personal experiences, and the intended audience for the study [ 46 ].

Taking into consideration the increasing use of qualitative methods in LIS studies, an in‐depth analysis of papers using qualitative methods would be interesting. A future study in which the different research strategies and types of analysis used in qualitative methods will be presented and analyzed could help LIS practitioners understand the benefits of qualitative analysis.

Mixed methods used in LIS research papers could be analyzed in future studies in order to identify in which stages of a study, data collection, data analysis, and data interpretation, the mixing was applied and to reveal the types of mixing.

As far as it concerns the quantitative research methods, which predominate in LIS research, it would be interesting to identify systematic relations between more than two variables such as authors’ affiliation, topic, research strategies, etc. and to create homogeneous groups using multivariate data analysis techniques.

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The Oxford Guide to Library Research

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With all of the new developments in information storage and retrieval, researchers today need a clear and comprehensive overview of the full range of their options, both online and offline, for finding the best information quickly. In this third edition of The Oxford Guide to Library Research, Thomas Mann maps out an array not just of important databases and print sources, but of several specific search techniques that can be applied profitably in any area of research. From academic resources to government documents to manuscripts in archives to business Web sites, Mann shows readers how best to exploit controlled subject headings, explains why browsing library shelves is still important in an online age, demonstrates how citation searching and related record searching produce results far beyond keyword inquiries, and offers practical tips on making personal contacts with knowledgeable people. Against the trendy but mistaken assumption that "everything" can be found on the Internet, Mann shows the lasting value of physical libraries and the unexpected power of traditional search mechanisms, while also providing the best overview of the new capabilities of computer indexing. Throughout the book Mann enlivens his advice with real-world examples derived from his experience of having helped thousands of researchers, with interests in all subjects areas, over a quarter century. Along the way he provides striking demonstrations and powerful arguments against those theorists who have mistakenly announced the demise of print. Essential reading for students, scholars, professional researchers, and laypersons, The Oxford Guide to Library Research offers a rich, inclusive overview of the information field, one that can save researchers countless hours of frustration in the search for the best sources on their topics.

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Research methods in library and information science: A content analysis

Related Papers

Advances in Library and Information Science

Judith Mavodza

The library and information science (LIS) profession is influenced by multidisciplinary research strategies and techniques (research methods) that in themselves are also evolving. They represent established ways of approaching research questions (e.g., qualitative vs. quantitative methods). This chapter reviews the methods of research as expressed in literature, demonstrating how, where, and if they are inter-connected. Chu concludes that popularly used approaches include the theoretical approach, experiment, content analysis, bibliometrics, questionnaire, and interview. It appears that most empirical research articles in Chu&#39;s analysis employed a quantitative approach. Although the survey emerged as the most frequently used research strategy, there is evidence that the number and variety of research methods and methodologies have been increasing. There is also evidence that qualitative approaches are gaining increasing importance and have a role to play in LIS, while mixed meth...

Aspasia Togia , Afrodite Malliari

Library and information science (LIS) is a very broad discipline, which uses a wide range of constantly evolving research strategies and techniques. The aim of this chapter is to provide an updated view of research issues in library and information science. A strati‐ fied random sample of 440 articles published in five prominent journals was analyzed and classified to identify (i) research approach, (ii) research methodology, and (iii) method of data analysis. For each variable, a coding scheme was developed, and the articles were coded accordingly. A total of 78% of the articles reported empirical research. The rest 22% were classified as non‐empirical research papers. The five most popular topics were " information retrieval, " " information behaviour, " " information literacy, " " library ser‐ vices, " and " organization and management. " An overwhelming majority of the empirical research articles employed a quantitative approach. Although the survey emerged as the most frequently used research strategy, there is evidence that the number and variety of research methodologies have been increased. There is also evidence that qualitative approaches are gaining increasing importance and have a role to play in LIS, while mixed methods have not yet gained enough recognition in LIS research.

Aspasia Togia

The aim of the present study is to investigate the general trends of LIS research, using as source material the articles published in Library and Information Science Research in a five-year period (2005-2010). Library & Information Science Research was chosen because is a cross-disciplinary and refereed journal, which focuses on the research process in library and information science, covers a wide range of topicswithin the field, reports research findings and provides work of interest to both academics and practitioners. The authors review the findings from an examination of research articles published in the journal, giving emphasis on articles that used quantitative and/or qualitative research methods as an integral part of the author’s work. The paper examines the major topics and problems addressed by LIS researchers, the research approaches and the types of quantitative and qualitative research methods used in articles published during this period, in an effort to understand t...

Veronica Gauchi Risso

Purpose – This paper aims to explore research methods used in Library and Information Science (LIS) during the past four decades. The goal is to compile a annotated bibliography of seminal works of the discipline used in different countries and social contexts. Design/methodology/approach – When comparing areas and types of research, different publication patterns are taken into account. As we can see, data indicators and types of studies carried out on scientific activity contribute very little when evaluating the real response potential to identified problems. Therefore, among other things, LIS needs new methodological developments, which should combine qualitative and quantitative approaches and allow a better understanding of the nature and characteristics of science in different countries. Findings – The conclusion is that LIS emerges strictly linked to descriptive methodologies, channeled to meet the challenges of professional practice through empirical strategies of a professional nature, which manifests itself the preponderance of a professional paradigm that turns out to be an indicator of poor scientific discipline development. Research limitations/implications – This, undoubtedly, reflects the reality of Anglo-Saxon countries, reproduced in most of the recognized journals of the field; this issue plus the chosen instruments for data collection certainly slant the results. Originality/value – The development of taxonomies in the discipline cannot be left aside from the accepted by the rest of the scientific community, at least if LIS desires to be integrated and recognized as a scientific discipline.

Abubakar Abdulkareem

All research is built on certain underlying philosophical assumptions about what constitutes valid research and which research method is appropriate for the development of knowledge in a given study. The use of research paradigm and theory provide specific direction for procedures in research design. This paper discussed the importance of understanding the use research paradigm and theory in relation with the concepts of ontology, epistemology and methodology in both quantitative and qualitative approach. The paper further discussed the connection of research paradigm and theory in library and information science (LIS) research, in both quantitative and qualitative research. The author presents step using deductive and inductive approach and provide a guide in which LIS researchers need to be consider before designing a research proposal.

Helen Clarke

Rajani Mishra

Research is the means to deplore the already existing information in the discipline. It is continuous and exhaustive study and leads to development of the newer theory, methodology or redefinition of the already existing theory in the light of new facts. This rediscovery depends upon the used methods and tools of the research. The present study is a step towards this. It tries to find out the various research methods used by the researchers of the library and information science. Keywords: Research methods, library services, survey, analytical research Cite this Article Rajani Mishra. The Data Analysis Tools Used in the Articles of Annals of Library and Information Studies: An Analysis. Journal of Advancements in Library Sciences . 2017; 4(2): 46–49p.

Library Hi Tech

Denise Koufogiannakis

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Chinwe Anunobi

Sidi Masuga

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The Elements of Library Research

What every student needs to know.

• Mary W. George
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• Language: English
• Publisher: Princeton University Press
• Copyright year: 2008
• Audience: Professional and scholarly;College/higher education;
• Main content: 224
• Other: 6 line illus. 24 Tables.
• Keywords: Database ; Bibliography ; Library classification ; Peer review ; Publication ; Thought ; Brainstorming ; Plagiarism ; Writing ; Primary source ; Academic journal ; Librarian ; Thesis statement ; Secondary source ; Newspaper ; Phrase ; Guideline ; Textbook ; Special collections ; Encyclopedia ; Literature review ; Instance (computer science) ; Illustration ; Project ; Suggestion ; Handbook ; Table of contents ; Vocabulary ; Thesis ; Result ; Editorial ; Diagram ; Academic publishing ; Manuscript ; Monograph ; Article (publishing) ; Public library ; Concept search ; Glossary ; Faculty (division) ; Full text search ; Thesaurus ; EndNote ; Academic library ; Classroom ; The Chicago Manual of Style ; Search algorithm ; Web search engine ; Book review ; Checklist ; Technology ; Council of Science Editors ; Career ; Understanding ; Flowchart ; Computer file ; Browsing ; Punctuation ; Terminology ; How-to ; University of Chicago Press ; Usage ; Addition ; Paragraph ; Reprint ; Alphabetical order ; Qualitative research ; Scientific method ; APA style ; Cataloging ; Library of Congress Classification ; Periodical literature ; Special library ; Verb ; Word processor ; Email ; Login ; Presentation ; Author ; Microform ; Social science ; Annotated bibliography ; Adjective ; Learning ; Writing process ; Outline (list) ; Library of Congress Subject Headings ; Server (computing) ; Online public access catalog ; Finding ; Recipe ; Ingredient ; Library of Congress ; Information seeking ; Tool ; Library consortium ; Stage (cooking) ; Measurement ; Known-item search ; Quotation mark
• Published: August 11, 2008
• ISBN: 9781400830411

Library Guides

Dissertations 4: methodology: methods.

• Introduction & Philosophy
• Methodology

Primary & Secondary Sources, Primary & Secondary Data

When describing your research methods, you can start by stating what kind of secondary and, if applicable, primary sources you used in your research. Explain why you chose such sources, how well they served your research, and identify possible issues encountered using these sources.  

Definitions  

There is some confusion on the use of the terms primary and secondary sources, and primary and secondary data. The confusion is also due to disciplinary differences (Lombard 2010). Whilst you are advised to consult the research methods literature in your field, we can generalise as follows:  

Secondary sources 

Secondary sources normally include the literature (books and articles) with the experts' findings, analysis and discussions on a certain topic (Cottrell, 2014, p123). Secondary sources often interpret primary sources.  

Primary sources 

Primary sources are "first-hand" information such as raw data, statistics, interviews, surveys, law statutes and law cases. Even literary texts, pictures and films can be primary sources if they are the object of research (rather than, for example, documentaries reporting on something else, in which case they would be secondary sources). The distinction between primary and secondary sources sometimes lies on the use you make of them (Cottrell, 2014, p123). 

Primary data 

Primary data are data (primary sources) you directly obtained through your empirical work (Saunders, Lewis and Thornhill 2015, p316). 

Secondary data 

Secondary data are data (primary sources) that were originally collected by someone else (Saunders, Lewis and Thornhill 2015, p316).   

Comparison between primary and secondary data   

Use  

Virtually all research will use secondary sources, at least as background information. 

Often, especially at the postgraduate level, it will also use primary sources - secondary and/or primary data. The engagement with primary sources is generally appreciated, as less reliant on others' interpretations, and closer to 'facts'. 

The use of primary data, as opposed to secondary data, demonstrates the researcher's effort to do empirical work and find evidence to answer her specific research question and fulfill her specific research objectives. Thus, primary data contribute to the originality of the research.    

Ultimately, you should state in this section of the methodology: 

What sources and data you are using and why (how are they going to help you answer the research question and/or test the hypothesis. 

If using primary data, why you employed certain strategies to collect them. 

What the advantages and disadvantages of your strategies to collect the data (also refer to the research in you field and research methods literature). 

Quantitative, Qualitative & Mixed Methods

The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages. 

Quantitative research 

Quantitative research uses numerical data (quantities) deriving, for example, from experiments, closed questions in surveys, questionnaires, structured interviews or published data sets (Cottrell, 2014, p93). It normally processes and analyses this data using quantitative analysis techniques like tables, graphs and statistics to explore, present and examine relationships and trends within the data (Saunders, Lewis and Thornhill, 2015, p496). 

Qualitative research  

Qualitative research is generally undertaken to study human behaviour and psyche. It uses methods like in-depth case studies, open-ended survey questions, unstructured interviews, focus groups, or unstructured observations (Cottrell, 2014, p93). The nature of the data is subjective, and also the analysis of the researcher involves a degree of subjective interpretation. Subjectivity can be controlled for in the research design, or has to be acknowledged as a feature of the research. Subject-specific books on (qualitative) research methods offer guidance on such research designs.  

Mixed methods 

Mixed-method approaches combine both qualitative and quantitative methods, and therefore combine the strengths of both types of research. Mixed methods have gained popularity in recent years.  

When undertaking mixed-methods research you can collect the qualitative and quantitative data either concurrently or sequentially. If sequentially, you can for example, start with a few semi-structured interviews, providing qualitative insights, and then design a questionnaire to obtain quantitative evidence that your qualitative findings can also apply to a wider population (Specht, 2019, p138). 

Ultimately, your methodology chapter should state: 

Whether you used quantitative research, qualitative research or mixed methods. 

Why you chose such methods (and refer to research method sources). 

Why you rejected other methods. 

How well the method served your research. 

The problems or limitations you encountered. 

Doug Specht, Senior Lecturer at the Westminster School of Media and Communication, explains mixed methods research in the following video:

LinkedIn Learning Video on Academic Research Foundations: Quantitative

The video covers the characteristics of quantitative research, and explains how to approach different parts of the research process, such as creating a solid research question and developing a literature review. He goes over the elements of a study, explains how to collect and analyze data, and shows how to present your data in written and numeric form.

Link to quantitative research video

Some Types of Methods

There are several methods you can use to get primary data. To reiterate, the choice of the methods should depend on your research question/hypothesis. 

Whatever methods you will use, you will need to consider: 

why did you choose one technique over another? What were the advantages and disadvantages of the technique you chose? 

what was the size of your sample? Who made up your sample? How did you select your sample population? Why did you choose that particular sampling strategy?) 

ethical considerations (see also tab...)  

safety considerations  

validity  

feasibility  

recording  

procedure of the research (see box procedural method...).  

Check Stella Cottrell's book  Dissertations and Project Reports: A Step by Step Guide  for some succinct yet comprehensive information on most methods (the following account draws mostly on her work). Check a research methods book in your discipline for more specific guidance.  

Experiments 

Experiments are useful to investigate cause and effect, when the variables can be tightly controlled. They can test a theory or hypothesis in controlled conditions. Experiments do not prove or disprove an hypothesis, instead they support or not support an hypothesis. When using the empirical and inductive method it is not possible to achieve conclusive results. The results may only be valid until falsified by other experiments and observations. 

For more information on Scientific Method, click here . 

Observations 

Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method.  

Questionnaires and surveys 

Questionnaires and surveys are useful to gain opinions, attitudes, preferences, understandings on certain matters. They can provide quantitative data that can be collated systematically; qualitative data, if they include opportunities for open-ended responses; or both qualitative and quantitative elements. 

Interviews  

Interviews are useful to gain rich, qualitative information about individuals' experiences, attitudes or perspectives. With interviews you can follow up immediately on responses for clarification or further details. There are three main types of interviews: structured (following a strict pattern of questions, which expect short answers), semi-structured (following a list of questions, with the opportunity to follow up the answers with improvised questions), and unstructured (following a short list of broad questions, where the respondent can lead more the conversation) (Specht, 2019, p142). 

This short video on qualitative interviews discusses best practices and covers qualitative interview design, preparation and data collection methods. 

Focus groups   

In this case, a group of people (normally, 4-12) is gathered for an interview where the interviewer asks questions to such group of participants. Group interactions and discussions can be highly productive, but the researcher has to beware of the group effect, whereby certain participants and views dominate the interview (Saunders, Lewis and Thornhill 2015, p419). The researcher can try to minimise this by encouraging involvement of all participants and promoting a multiplicity of views. 

This video focuses on strategies for conducting research using focus groups.  

Check out the guidance on online focus groups by Aliaksandr Herasimenka, which is attached at the bottom of this text box. 

Case study 

Case studies are often a convenient way to narrow the focus of your research by studying how a theory or literature fares with regard to a specific person, group, organisation, event or other type of entity or phenomenon you identify. Case studies can be researched using other methods, including those described in this section. Case studies give in-depth insights on the particular reality that has been examined, but may not be representative of what happens in general, they may not be generalisable, and may not be relevant to other contexts. These limitations have to be acknowledged by the researcher.     

Content analysis 

Content analysis consists in the study of words or images within a text. In its broad definition, texts include books, articles, essays, historical documents, speeches, conversations, advertising, interviews, social media posts, films, theatre, paintings or other visuals. Content analysis can be quantitative (e.g. word frequency) or qualitative (e.g. analysing intention and implications of the communication). It can detect propaganda, identify intentions of writers, and can see differences in types of communication (Specht, 2019, p146). Check this page on collecting, cleaning and visualising Twitter data.

Extra links and resources:  

Research Methods  

A clear and comprehensive overview of research methods by Emerald Publishing. It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature review; secondary data and archival materials; data collection. 

Doing your dissertation during the COVID-19 pandemic  

Resources providing guidance on doing dissertation research during the pandemic: Online research methods; Secondary data sources; Webinars, conferences and podcasts; 

• Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

The following are a series of useful videos that introduce research methods in five minutes. These resources have been produced by lecturers and students with the University of Westminster's School of Media and Communication. 

Case Study Research

Research Ethics

Quantitative Content Analysis 

Sequential Analysis 

Qualitative Content Analysis 

Thematic Analysis 

Social Media Research 

Mixed Method Research 

Procedural Method

In this part, provide an accurate, detailed account of the methods and procedures that were used in the study or the experiment (if applicable!). 

Include specifics about participants, sample, materials, design and methods. 

If the research involves human subjects, then include a detailed description of who and how many participated along with how the participants were selected.  

Describe all materials used for the study, including equipment, written materials and testing instruments. 

Identify the study's design and any variables or controls employed. 

Write out the steps in the order that they were completed. 

Indicate what participants were asked to do, how measurements were taken and any calculations made to raw data collected. 

Specify statistical techniques applied to the data to reach your conclusions. 

Provide evidence that you incorporated rigor into your research. This is the quality of being thorough and accurate and considers the logic behind your research design. 

Highlight any drawbacks that may have limited your ability to conduct your research thoroughly. 

You have to provide details to allow others to replicate the experiment and/or verify the data, to test the validity of the research. 

Bibliography

Cottrell, S. (2014). Dissertations and project reports: a step by step guide. Hampshire, England: Palgrave Macmillan.

Lombard, E. (2010). Primary and secondary sources.  The Journal of Academic Librarianship , 36(3), 250-253

Saunders, M.N.K., Lewis, P. and Thornhill, A. (2015).  Research Methods for Business Students.  New York: Pearson Education. 

Specht, D. (2019).  The Media And Communications Study Skills Student Guide . London: University of Westminster Press.  

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Dissertations & projects: Literature-based projects

• Research questions
• The process of reviewing
• Project management
• Literature-based projects

On these pages:

“As a general rule, the introduction is usually around 5 to 10 per cent of the word limit; each chapter around 15 to 25 per cent; and the conclusion around 5 per cent.” Bryan Greetham, How to Write Your Undergraduate Dissertation

This page gives guidance on the structure of a literature-based project.   That is, a project where the data is found in existing literature rather than found through primary research. They may also include information from primary sources such as original documents or other sources.

How to structure a literature-based project

The structure of a literature-based dissertation is usually thematic, but make sure to check with your supervisor to make sure you are abiding by your department’s project specifications. A typical literature-based dissertation will be broken up into the following sections:

Abstract or summary

Acknowledgments, contents page, introduction, themed chapters.

• Bibliography/Reference list

Use this basic structure as your document plan . Remember that you do not need to write it in the order it will finally be written in. 

For more advice on managing the order of your project, see our section on Project Management.   

If you use the template provided on our Formatting page, you will see that it already has a title page included. You just need to fill in the appropriate boxes by typing or choosing from the drop-down-lists. The information you need to provide is: 

• Type of assignment (thesis, dissertation or independent project)
• Partial or full fulfilment information
• Subject area
• Your name (and previous qualifications if applicable)
• Month and year of submission

This may not always be required - check with your tutor.

• It is  independent  of the rest of the report - it is a mini-report, which needs to make sense completely on its own.
• References should  not  be included.
• Nothing should appear in the abstract that is not in the rest of the report.
• Usually between 200-300 words.
• Write as a  single  paragraph.

It is recommended that you write your abstract  after  your report.

If you choose not to use the template, then you will need to go through the document after it is written and create a list showing which heading is on which page of your document.

Purpose: To thank those who were directly involved in your work .

• Do not confuse the acknowledgements section with a dedication - this is not where you thank your friends and relatives unless they have helped you with your manuscript.
• Acknowledgments are about courtesy, where you thank those who were directly involved in your work, or were involved in supporting your work (technicians, tutors, other students, financial support etc).
• This section tends to be  very brief , a few lines at the most. Identify those who provided you with the most support, and thank them appropriately.
• At the very least, make sure you acknowledge your supervisor!!

Purpose: To state the research problem and give a brief introduction to the background literature, provide justification for your research questions and explain your methodology and main findings.

• Explain what the problem you will be addressing is, what your research questions are, and why they will help address the issue.
• Explain (and justify) your methodology - where you searched, what your keywords were, what your inclusion and exclusion criteria were,
• Define the scope of the dissertation, explaining any limitations.
• Lay out the structure of the dissertation, taking the reader through each section and providing any key definitions.
• Very briefly describe what your main findings are - but leave the detail for the sections below.

It is good practice to come back to the introduction after you have finished writing up the rest of the document to ensure it sets the appropriately scene for subsequent sections.

Should you have a separate literature review chapter?

Not usually , as your project is basically a big literature review, it isn't necessary to have a separate chapter. You would normally introduce background literature in your introduction instead.

However, if your supervisor suggests a separate chapter then it could go at this point, after the main introduction (which would then not include background literature). 

For more advice on writing a literature review see the Literature Review pages on this guide.

Purpose: To present the themes you have identified in your research and explain how they contribute to answering your research questions

You will typically have 3-5 themed chapters. Each one should contain:

• An introduction to the theme - what things it means and what it incorporates.
• How the theme was addressed within the literature - this should be analytical not just descriptive.
• A conclusion which shows how the theme relates to the research question(s).

Ensuring your themed chapters flow

Choosing the order of your theme chapters is an important part of the structure to your project. For example, if you study History and your project covers a topic that develops over a large time period, it may be best to order each chapter chronologically. Other subjects may have a natural narrative running through the themes. Think about how your reader will be able to follow along with your overall argument.

Although each chapter must be dedicated to a particular theme, it must link back to previous chapters and flow into the following chapter. You need to ensure they do not seem like they are unrelated to each other. There will be overlaps, mention these.

Some literature-based projects will focus on primary sources. If yours does, make sure primary sources are at the core of your paragraphs and chapters, and use secondary sources to expand and explore the theme further. 

Purpose: To present the conclusion that you have reached as a result of both the background literature review and the analysis in your thematic chapters

A conclusion summarises all the points you have previously made and it  should not  include any evidence or topics you have not included in your introduction or themed chapters. There should be no surprises.

It should be about 5-10% of your word limit so make sure you leave enough words to do it justice. There will be marks in the marking scheme specifically allocated to the strength of your conclusion which cannot be made up elsewhere.

Some conclusions will also include recommendations for practice or ideas for further research. Check with your supervisor to see if they are expecting either or both of these.

Reference list

It is good practice to develop a reference list whilst  writing the project, rather than leaving it until the end. This prevents a lot of searching around trying to remember where you accessed a particular source. If using primary sources, it also allows you to monitor the balance between primary and secondary sources included in the project. There is software available to help manage your references and the university officially supports RefWorks and EndNote. 

For more advice on reference management, see our Skills Guide: Referencing Software

• Transcriptions
• Correspondence
• Ethical approval forms

If you have information that you would like to include but are finding it disrupts the main body of text as its too cumbersome, or would distract from the main arguments of your dissertation, the information can be included in the appendix section. Each appendix should be focused on one item. 

Appendices  should not include any information that is key to your topic or overall argument. 

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