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How to Write a Scientific Paper: Practical Guidelines

Edgard delvin.

1 Centre de recherche, CHU Sainte-Justine

2 Département de Biochimie, Université de Montréal, Montréal, Canada

Tahir S. Pillay

3 Department of Chemical Pathology, Faculty of Health Sciences, University of Pretoria

4 Division of Chemical Pathology, University of Cape Town

5 National Health Laboratory Service, CTshwane Academic Division, Pretoria, South Africa

Anthony Newman

6 Life Sciences Department, Elsevier, Amsterdam, The Netherlands

Precise, accurate and clear writing is essential for communicating in health sciences, as publication is an important component in the university criteria for academic promotion and in obtaining funding to support research. In spite of this, the development of writing skills is a subject infrequently included in the curricula of faculties of medicine and allied health sciences. Therefore clinical investigators require tools to fill this gap. The present paper presents a brief historical background to medical publication and practical guidelines for writing scientific papers for acceptance in good journals.

INTRODUCTION

A scientific paper is the formal lasting record of a research process. It is meant to document research protocols, methods, results and conclusions derived from an initial working hypothesis. The first medical accounts date back to antiquity. Imhotep, Pharaoh of the 3 rd Dynasty, could be considered the founder of ancient Egyptian medicine as he has been credited with being the original author of what is now known as the Edwin Smith Papyrus ( Figure 1 ). The Papyrus, by giving some details on cures and anatomical observations, sets the basis of the examination, diagnosis, treatment, and prognosis of numerous diseases. Closer to the Common Era, in 460 BCE, Hippocrates wrote 70 books on medicine. In 1020, the Golden age of the Muslim Culture, Ibn Sina, known as Avicenna ( Figure 2a ), recorded the Canon of medicine that was to become the most used medical text in Europe and Middle East for almost half a millennium. This was followed in the beginning of the 12 th Century bytheextensivetreatiseofMaimonides( Figure 2b ) (Moses ben Maimon) on Greek and Middle Eastern medicine. Of interest, by the end of the 11 th Century Trotula di Ruggiero, a woman physician, wrote several influential books on women’s ailment. A number of other hallmark treatises also became more accessible, thanks to the introduction of the printing press that allowed standardization of the texts. One example is the De Humani Corporis Fabrica by Vesalius which contains hundreds of illustrations of human dissection. Thomas A Lang provides an excellent concise history of scientific publications [ 1 ]. These were the days when writing and publishing scientific or philosophical works were the privilege of the few and hence there was no or little competition and no recorded peer reviewing system. Times have however changed, and contemporary scientists have to compose with an increasingly harsh competition in attracting editors and publishers attention. As an example, the number of reports and reviews on obesity and diabetes has increased from 400 to close to 4000/year and 50 to 600/year respectively over a period of 20 years ( Figure 3 ). The present article, essentially based on TA Lang’s guide for writing a scientific paper [ 1 ], will summarize the steps involved in the process of writing a scientific report and in increasing the likelihood of its acceptance.

This manuscript, written in 1600 BCE, is regarded as a copy of several earlier works ( 3000 BCE). It is part of a textbook on surgery the examination, diagnosis, treatment, and prognosis of numerous ailments. BCE: Before the Common Era.

The Edwin Smith Papyrus (≈3000 BCE)

Figure 2a Avicenna 973-1037 C.E.Figure 2b Maimonides, 1135-1204 C.E.

Avicenna and Maimonides

Orange columns: original research papers; Green columns: reviews

Annual publication load in the field of obesity and diabetes over 20 years.

Reasons for publishing are varied. One may write to achieve a post-graduate degree, to obtain funding for pursuing research or for academic promotion. While all 3 reasons are perfectly legitimate, one must ask whether they are sufficient to be considered by editors, publishers and reviewers. Why then should the scientist write? The main reason is to provide to the scientific community data based on hypotheses that are innovative and thus to advance the understanding in a specific domain. One word of caution however, is that if a set of experiments has not been done or reported, it does not mean that it should be. It may simply reflect a lack of interest in it.

DECIDING ON PUBLISHING AND TARGETING THE JOURNAL

In order to assist with the decision process, pres-ent your work orally first to colleagues in your field who may be more experienced in publishing. This step will help you in gauging whether your work is publishable and in shaping the paper.

Targeting the journal, in which you want to present your data, is also a critical step and should be done before starting to write. One hint is to look for journals that have published similar work to yours, and that aims readers most likely to be interested in your research. This will allow your article to be well read and cited. These journals are also those that you are most likely to read on a regular basis and to cite abundantly. The next step is to decide whether you submit your manuscript to a top-ranking impact factor journal or to a journal of lower prestige. Although it is tempting to test the waters, or to obtain reviewers comments, be realistic about the contribution your work provides and submit to a journal with an appropriate rank.

Do not forget that each rejection delays publication and that the basin of reviewers within your specialty is shallow. Thus repeated submission to different journals could likely result in having your work submitted for review to the same re-viewer.

DECIDING ON THE TYPE OF MANUSCRIPT

There are several types of scientific reports: observational, experimental, methodological, theoretical and review. Observational studies include 1) single-case report, 2) collective case reports on a series of patients having for example common signs and symptoms or being followed-up with similar protocols, 3) cross-sectional, 4) cohort studies, and 5) case-control studies. The latter 3 could be perceived as epidemiological studies as they may help establishing the prevalence of a condition, and identify a defined population with and without a particular condition (disease, injury, surgical complication). Experimental reports deal with research that tests a research hypothesis through an established protocol, and, in the case of health sciences, formulate plausible explanations for changes in biological systems. Methodological reports address for example advances in analytical technology, statistical methods and diagnostic approach. Theoretical reports suggest new working hypotheses and principles that have to be supported or disproved through experimental protocols. The review category can be sub-classified as narrative, systematic and meta-analytic. Narrative reviews are often broad overviews that could be biased as they are based on the personal experience of an expert relying on articles of his or her own choice. Systematic reviews and meta-analyses are based on reproducible procedures and on high quality data. Researchers systematically identify and analyze all data collected in articles that test the same working hypothesis, avoiding selection bias, and report the data in a systematic fashion. They are particularly helpful in asking important questions in the field of healthcare and are often the initial step for innovative research. Rules or guidelines in writing such report must be followed if a quality systematic review is to be published.

For clinical research trials and systematic reviews or meta-analyses, use the Consort Statement (Consolidated Standards Of Reporting Trials) and the PRISMA Statement (Preferred Reporting Items for Systematic reviews and Meta-Analyses) respectively [ 2 , 3 ]. This assures the editors and the reviewers that essential elements of the trials and of the reviews were tackled. It also speeds the peer review process. There are several other Statements that apply to epidemiological studies [ 4 ], non-randomized clinical trials [ 5 ], diagnostic test development ( 6 ) and genetic association studies ( 7 ). The Consortium of Laboratory Medicine Journal Editors has also published guidelines for reporting industry-sponsored laboratory research ( 8 ).

INITIAL STEPS IN THE PROCESS OF WRITING A SCIENTIFIC DOCUMENT

Literature review is the initial and essential step before starting your study and writing the scientific report based on it. In this process use multiple databases, multiple keyword combinations. It will allow you to track the latest development in your field and thus avoid you to find out that someone else has performed the study before you, and hence decrease the originality of your study. Do not forget that high-ranking research journals publish results of enough importance and interest to merit their publication.

Determining the authorship and the order of authorship, an ethical issue, is the second essential step, and is unfortunately often neglected. This step may avoid later conflicts as, despite existing guidelines, it remains a sensitive issue owing to personal biases and the internal politics of institutions. The International Committee of Medical Editors has adopted the following guidelines for the biomedical sciences ( 9 ).

“Authorship credit should be based only on: 1) Substantial contributions to the conception and design, or acquisition of data, or analysis and interpretation of data; 2) Drafting the article or revising it critically for important intellectual content; and 3) Final approval of the version to be published. Conditions 1, 2 and 3 must be all met. Acquisition of funding, the collections of data, or general supervision of the research group, by themselves, do not justify authorship.” ( 9 , 10 )

The order of authorship should reflect the individual contribution to the research and to the publication, from most to least ( 11 ). The first author usually carries out the lead for the project reported. However the last author is often mistakenly perceived as the senior author. This is perpetuated from the European tradition and is discouraged. As there are divergent conventions among journals, the order of authorship order may or may not reflect the individual contributions; with the exception that the first author should be the one most responsible for the work.

WRITING EFFECTIVELY

Effective writing requires that the text helps the readers 1) understand the content and the context, 2) remember what the salient points are, 3) find the information rapidly and, 4) use or apply the information given. These cardinal qualities should be adorned with the precise usage of the language, clarity of the text, inclu-siveness of the information, and conciseness. Effective writing also means that you have to focus on the potential readers’ needs. Readers in science are informed individuals who are not passive, and who will formulate their own opinion of your writing whether or not the meaning is clear. Therefore you need to know who your audience is. The following 4 questions should help you writing a reader-based text, meaning written to meet the information needs of readers [ 12 ].

What do you assume your readers already know? In other words, which terms and concepts can you use without explanation, and which do you have to define?

What do they want to know? Readers in science will read only if they think they will learn something of value.

What do they need to know? Your text must contain all the information necessary for the reader to understand it, even if you think this information id obvious to them.

What do they think they know that is not so? Correcting misconceptions can be an important function of communication, and persuading readers to change their minds can be a challenging task.

WRITING THE SCIENTIFIC PAPER

Babbs and Tacker ’ s advice to write as much of the paper before performing the research project or experimental protocol may, at first sight, seem unexpected and counterintuitive [ 13 ], but in fact it is exactly what is being done when writing a research grant application. It will allow you to define the authorship alluded to before. The following section will briefly review the structure of the different sections of a manuscript and describe their purpose.

Reading the instructions to authors of the Journal you have decided to submit your manuscript is the first important step. They provide you with the specific requirements such as the way of listing the authors, type of abstract, word, figure or table limits and citation style. The Mulford Library of University of Toledo website contains instructions to authors for over 3000 journals ( http://mulford.meduoiho.edu/instr/ ).

The general organization of an article follows the IMRAD format (Introduction, Methods, Results, and Discussion). These may however vary. For instance, in clinical research or epidemiology studies, the methods section will include details on the subjects included, and there will be a statement of the limitation of the study. Although conclusions may not always be part of the structure, we believe that it should, even in methodological reports.

The tile page provides essential information so that the editor, reviewers, and readers will identify the manuscript and the authors at a glance as well as enabling them to classify the field to which the article pertains.

The title page must contain the following:

  • The tile of the article – it is an important part of the manuscript as it is the most often read and will induce the interested readers to pursue further. Therefore the title should be precise, accurate, specific and truthful;
  • Each author’s given name (it may be the full name or initials) and family name;
  • Each author’s affiliation;
  • Some journals ask for highest academic degree;
  • A running title that is usually limited to a number of characters. It must relate to the full title;
  • Key words that will serve for indexing;
  • For clinical studies, the trial’s registration number;
  • The name of the corresponding author with full contact information.

The abstract is also an important section of your manuscript. Importantly, the abstract is the part of the article that your peers will see when consulting publication databases such as PubMed. It is the advertisement to your work and will strongly influence the editor deciding whether it will be submitted to reviewers or not. It will also help the readers decide to read the full article. Hence it has to be comprehensible on its own. Writing an abstract is challenging. You have to carefully select the content and, while being concise, assure to deliver the essence of your manuscript.

Without going into details, there are 3 types of abstracts: descriptive, informative and structured. The descriptive abstract is particularly used for theoretical, methodological or review articles. It usually consists of a single paragraph of 150 words or less. The informative abstract, the most common one, contains specific information given in the article and, are organized with an introduction (background, objectives), methods, results and discussion with or without conclusion. They usually are 150 to 250 words in length. The structured abstract is in essence an informative abstract with sections labeled with headings. They may also be longer and are limited to 250 to 300 words. Recent technology also allows for graphical or even video abstracts. The latter are interesting in the context of cell biology as they enable the investigator to illustrate ex vivo experiment results (phagocytosis process for example).

Qualities of abstracts:

  • Understood without reading the full paper. Shoul dcontain no abbreviations.lf abbreviations are used, they must be defined. This however removes space for more important information;
  • Contains information consistent with the full report. Conclusions in the abstract must match those given in the full report;
  • Is attractive and contains information needed to decide whether to read the full report.

Introduction

The introduction has 3 main goals: to establish the need and importance of your research, to indicate how you have filled the knowledge gap in your field and to give your readers a hint of what they will learn when reading your paper. To fulfil these goals, a four-part introduction consisting of a background statement, a problem statement, an activity statement and a forecasting statement, is best suited. Poorly defined background information and problem setting are the 2 most common weaknesses encountered in introductions. They stem from the false perception that peer readers know what the issue is and why the study to solve it is necessary. Although not a strict rule, the introduction in clinical science journals should target only references needed to establish the rationale for the study and the research protocol. This differ from more basic science or cell biology journals, for which a longer and elaborate introduction may be justified because the research at hand consists of several approaches each requiring background and justification.

The 4-part introduction consists of:

  • A background statement that provides the context and the approach of the research;
  • A problem statement that describes the nature, scope and importance of the problem or the knowledge gap;
  • An activity statement, that details the research question, sets the hypothesis and actions undertaken for the investigation;
  • A forecasting statement telling the readers whattheywillfìndwhen readingyourarticle [ 14 ].

Methods section

This section may be named “Materials and Methods”, “Experimental section” or “Patients and Methods” depending upon the type of journal. Its purpose to allow your readers to provide enough information on the methods used for your research and to judge on their adequacy. Although clinical and “basic” research protocols differ, the principles involved in describing the methods share similar features. Hence, the breadth of what is being studied and how the study can be performed is common to both. What differ are the specific settings. For example, when a study is conducted on humans, you must provide, up front, assurance that it has received the approval of you Institution Ethics Review Board (IRB) and that participants have provided full and informed consent. Similarly when the study involves animals, you must affirm that you have the agreement from your Institutional Animal Care and Use Committee (IACUC). These are too often forgotten, and Journals (most of them) abiding to the rules of the Committee on Publication Ethics (COPE) and World Association of Medical Editors (WAME) will require such statement. Although journals publishing research reports in more fundamental science may not require such assurance, they do however also follow to strict ethics rules related to scientific misconduct or fraud such as data fabrication, data falsification. For clinical research papers, you have to provide information on how the participants were selected, identify the possible sources of bias and confounding factors and how they were diminished.

In terms of the measurements, you have to clearly identify the materials used as well as the suppliers with their location. You should also be unambiguous when describing the analytical method. If the method has already been published, give a brief account and refer to the original publication (not a review in which the method is mentioned without a description). If you have modified it, you have to provide a detailed account of the modifications and you have to validate its accuracy, precision and repeatability. Mention the units in which results are reported and, if necessary, include the conversion factors [mass units versus “système international” (S.I.)]. In clinical research, surrogate end-points are often used as biomarkers. Under those circumstances, you must show their validity or refer to a study that has already shown that are valid.

In cases of clinical trials, the Methods section should include the study design, the patient selection mode, interventions, type of outcomes.

Statistics are important in assuring the quality of the research project. Hence, you should consult a biostatistician at the time of devising the research protocol and not after having performed the experiments or the clinical trial.

The components of the section on statistics should include:

  • The way the data will be reported (mean, median, centiles for continuous data);
  • Details on participant assignments to the different groups (random allocation, consecutive entry);
  • Statistical comparison tools (parametric or non parametric statistics, paired or unpaired t-tests for normally distributed data and so on);
  • The statistical power calculation when determining the sample size to obtain valid and significant comparisons together with the a level;
  • The statistical software package used in the analysis.

Results section

The main purpose of the results section is to report the data that were collected and their relationship. It should also provide information on the modifications that have taken place because of unforeseen events leading to a modification of the initial protocol (loss of participants, reagent substitution, loss of data).

  • Report results as tables and figures whenever possible, avoid duplication in the text. The text should summarize the findings;
  • Report the data with the appropriate descriptive statistics;
  • Report any unanticipated events that could affect the results;
  • Report a complete account of observations and explanations for missing data (patient lost).

The discussion should set your research in context, reinforce its importance and show how your results have contributed to the further understanding of the problem posed. This should appear in the concluding remarks. The following organization could be helpful.

  • Briefly summarize the main results of your study in one or two paragraphs, and how they support your working hypothesis;
  • Provide an interpretation of your results and show how they logically fit in an overall scheme (biological or clinical);
  • Describe how your results compare with those of other investigators, explain the differences observed;
  • Discuss how your results may lead to a new hypothesis and further experimentation, or how they could enhance the diagnostic procedures.
  • Provide the limitations of your study and steps taken to reduce them. This could be placed in the concluding remarks.

Acknowledgements

The acknowledgements are important as they identify and thank the contributors to the study, who do not meet the criteria as co-authors. They also include the recognition of the granting agency. In this case the grant award number and source is usually included.

Declaration of competing interests

Competing interests arise when the author has more than one role that may lead to a situation where there is a conflict of interest. This is observed when the investigator has a simultaneous industrial consulting and academic position. In that case the results may not be agreeable to the industrial sponsor, who may impose a veto on publication or strongly suggest modifications to the conclusions. The investigator must clear this issue before starting the contracted research. In addition, the investigator may own shares or stock in the company whose product forms the basis of the study. Such conflicts of interest must be declared so that they are apparent to the readers.

Acknowledgments

The authors thank Thomas A Lang, for his advice in the preparation of this manuscript.

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Scientific Paper: What is it & How to Write it? (Steps and Format)

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A white page, and a blinking cursor: How can a blank document be so intimidating? You might hear the voice of your Ph.D. professor rumbling in your head: “Well done with the research, why don’t you put all that data together in a scientific paper so we can get it published?”

Well, it’s more challenging than it sounds!

For first-time authors, the chances of writing their own scientific research may both be overwhelming and exciting. Encountered with a mountain of notes, data, remnants of the research process, and days spent doing experiments, it may be daunting to figure out where and how to begin the process of writing a scientific paper!

The good news is, you don’t have to be a talented writer to pen-down a good scientific paper, but just have to be an organized and careful writer.

This is why we have put time and effort into creating an exceptional guide on how to write a scientific paper that will help you present your research successfully to your supervisors or publications without any clutter!

Before we begin, let’s learn about the touchstones or benchmarks of scientific writing for authors!

What is a Scientific Paper? (Definition)

A scientific paper is a manuscript that represents an original work of scientific research or study. It can be an addition to the ongoing study in a field, can be groundbreaking, or a comparative study between different approaches.

Most times, a scientific paper draws the research performed by an individual or a group of people. These papers showcase valuable analysis in fields like theoretical physics, mathematics, etc., and are routinely published in scientific journals.

Read more: The Ultimate Guide on Technical Documentation

3 Golden Rules of Scientific Writing

According to a study by lijunsun, scientists and writers have identified difficulties in communicating science to the public through typical scientific prose.

Scientists doing research

Simply put, it is important for researchers to maintain a balance between receiving respect and recognition for their research in a particular field and making sure that their work is understandable to a wider audience. The latter can be achieved through clarity, simplicity, and accuracy.

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Clarity – Research is unambiguous and free of irrelevant conjecture or detail.

Simplicity – Language, sentence, and paragraph structure are easy to comprehend and follow without losing scientific credibility or authority.

Accuracy – Data, figures, tables, references, and citations are illustrated verifiably and honestly.

Why are Scientific Papers Important?

A scientific paper is both a testing device and a teaching device.

When handled correctly, it empowers you to

  • Learn and read an assignment carefully,
  • Research the nuances of your topic,
  • Refine your focus to a strong,
  • Offer arguable thesis,
  • Select the best evidence to prove the analysis of your dissertation.

As a primary teaching device, the scientific paper in your field trains you to self-learn some rules and expectations in terms of:

  • Writing format,
  • Appropriateness of language and content,
  • Submission requirements,
  • Bibliographic styles, and much more.

As you move onward with your research, you’ll find that the scientific paper quickly becomes the educational “ coin of the realm .” Hence, it’s important to approach any scientific paper with zeal for higher learning.

Read more:  Technical Report: What is it & How to Write it? (Steps & Structure Included)

How to Write a Scientific Paper? (Steps & Format)

When you begin with writing your scientific manuscript, the first thing to consider is the format and order of sections in relation to your research or the information you want to showcase.

A scientific paper follows the  conventional format of research-based writing, which provides a deeper understanding of the purpose of each section. The structure starts with:

Step 1. Add Title in the Paper

A title should be of the fewest words possible, accurately describing the content of the paper. Try to eliminate unnecessary words such as “Investigations of …”, “A study of …”, “Observations on …”, etc.

An improperly titled scientific paper might never reach the readers for which it was intended. Hence, mention the name of the study, a particular region it was conducted in, or an element it contains in the title.

Step 2. Mention Keywords List

A keyword list offers the opportunity to add keywords, in addition to those already written in the title. Optimal use of keywords may increase the chances of interested parties to easily locate your scientific paper.

Step 3.  Add Abstract

A well-defined abstract allows the reader to identify the basic content of your paper quickly and accurately, to determine its relevance, and decide whether to read it in its entirety. The abstract briefly states the principal, scope, and objectives of the research. The abstract typically should not exceed 250 words. If you can convey the important details of the paper in 100 words, do not try to use more.

Step 4. Start with  Introduction

An introduction begins by introducing the authors and their relevant fields to the reader. A common mistake made is introducing their areas of study while not mentioning their major findings in descriptive scientific writing, enabling the reader to place the current work in context.

The ending of the introduction can be done through a statement of objectives or, with a brief statement of the principal findings. Either way, the reader must have an idea of where the paper is headed to process the development of the evidence.

Step 5. Mention Scientific  Materials and Methods Used

The primary purpose of the ‘Materials and Methods’ section is to provide enough detail for a competent worker to replicate your research and reproduce the results.

The scientific method requires your results to be reproducible, and provide a basis for the reiteration of the study by others. However, if case your material and method have been previously published in a journal, only the name of the study and a literature reference is needed.

Step 6. Write down  Results

Results display your findings, figures, and tables of your study. It represents the data, condensed, and digested with important trends that are extracted while researching. Since the results hold new knowledge that you are contributing to the world, it is important that your data is simply and clearly stated.

Step 7. Create a  Discussion Section

A discussion involves talking and answering about different aspects of the scientific paper such as: what principles have been established or reinforced; how your findings compare to the findings of others, what generalizations can be drawn, and whether there are any practical/theoretical implications of your research.

Students discussing a scientific paper

Step 8. Mention References

A list of references presented alphabetically by author’s surname, or number, based on the publication, must be provided at the end of your scientific paper. The reference list must contain all references cited in the text. Include author details such as the title of the article, year of publication, name of journal or book or volume, and page numbers with each reference

Now that you know the key elements to include in your scientific paper, it’s time to introduce you to an awesome tool that will make writing a scientific paper, a breeze!

Ditch Your Boring, Old Editor, and Write a Scientific Paper the Smart Way with Bit.ai

Bit.ai is a new-age documentation and knowledge management tool that allows researchers and teams to collaborate, share, track, and manage all knowledge and research in one place. Bit documents, unlike your standard Word Docs or Google Docs, are interactive .  This means that authors can use Bit to create interactive, media-rich scientific papers easily!

Bit.ai: Documentation tool for creating scientific papers

Thus, Bit brings together everything you need to conduct and write a comprehensive scientific paper under one roof, cutting down your efforts in half! Bit has a super easy and fun interface, making onboarding new users easier than ever!

All-in-all Bit is like Google Docs on steroids ! So, no more settling for those boring text editors when you have an excessively robust solution to walk you through!

Bit features infographic

  • Organized workspaces and folders – Bit brings all your research in one place by allowing you to organize information in workspaces and folders. Workspaces can be created around projects, studies, departments, and fields. Everyone added to a workspace can access and collaborate on its content. Inside each workspace, you can create an unlimited number of wikis and access your content library.
  • Content library –  Bit has a content library at the workspace level where you can store and share assets. You can save images, files, and content easily and can access it at any point.
  • Rich embed options – Bit.ai integrates with over 100+ web applications (Ex: YouTube, PDFs, LucidChart, Google Drive, etc.) to help you weave information in their wikis beyond just text and images.
  • Smart search – Bit has very robust search functionality that allows anyone to find information quickly. You can search for folders, files, documents, and content inside your documents across all of your workspaces.
  • Interlink documents – Bit allows authors to create unlimited documents and interlink them to create wikis that expand the knowledge base. Simply highlight the words and you have the option to create a new document.
  • Permission & sharing access – Bit supports features like document tracking, cloud upload, templates, document locking, document expiration, password protection, etc.

Our team at  bit.ai  has created a few awesome templates to make your research process more efficient. Make sure to check them out before you go, y our team might need them!

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Home » Scientific Research – Types, Purpose and Guide

Scientific Research – Types, Purpose and Guide

Table of Contents

Scientific Research

Scientific Research

Definition:

Scientific research is the systematic and empirical investigation of phenomena, theories, or hypotheses, using various methods and techniques in order to acquire new knowledge or to validate existing knowledge.

It involves the collection, analysis, interpretation, and presentation of data, as well as the formulation and testing of hypotheses. Scientific research can be conducted in various fields, such as natural sciences, social sciences, and engineering, and may involve experiments, observations, surveys, or other forms of data collection. The goal of scientific research is to advance knowledge, improve understanding, and contribute to the development of solutions to practical problems.

Types of Scientific Research

There are different types of scientific research, which can be classified based on their purpose, method, and application. In this response, we will discuss the four main types of scientific research.

Descriptive Research

Descriptive research aims to describe or document a particular phenomenon or situation, without altering it in any way. This type of research is usually done through observation, surveys, or case studies. Descriptive research is useful in generating ideas, understanding complex phenomena, and providing a foundation for future research. However, it does not provide explanations or causal relationships between variables.

Exploratory Research

Exploratory research aims to explore a new area of inquiry or develop initial ideas for future research. This type of research is usually conducted through observation, interviews, or focus groups. Exploratory research is useful in generating hypotheses, identifying research questions, and determining the feasibility of a larger study. However, it does not provide conclusive evidence or establish cause-and-effect relationships.

Experimental Research

Experimental research aims to test cause-and-effect relationships between variables by manipulating one variable and observing the effects on another variable. This type of research involves the use of an experimental group, which receives a treatment, and a control group, which does not receive the treatment. Experimental research is useful in establishing causal relationships, replicating results, and controlling extraneous variables. However, it may not be feasible or ethical to manipulate certain variables in some contexts.

Correlational Research

Correlational research aims to examine the relationship between two or more variables without manipulating them. This type of research involves the use of statistical techniques to determine the strength and direction of the relationship between variables. Correlational research is useful in identifying patterns, predicting outcomes, and testing theories. However, it does not establish causation or control for confounding variables.

Scientific Research Methods

Scientific research methods are used in scientific research to investigate phenomena, acquire knowledge, and answer questions using empirical evidence. Here are some commonly used scientific research methods:

Observational Studies

This method involves observing and recording phenomena as they occur in their natural setting. It can be done through direct observation or by using tools such as cameras, microscopes, or sensors.

Experimental Studies

This method involves manipulating one or more variables to determine the effect on the outcome. This type of study is often used to establish cause-and-effect relationships.

Survey Research

This method involves collecting data from a large number of people by asking them a set of standardized questions. Surveys can be conducted in person, over the phone, or online.

Case Studies

This method involves in-depth analysis of a single individual, group, or organization. Case studies are often used to gain insights into complex or unusual phenomena.

Meta-analysis

This method involves combining data from multiple studies to arrive at a more reliable conclusion. This technique can be used to identify patterns and trends across a large number of studies.

Qualitative Research

This method involves collecting and analyzing non-numerical data, such as interviews, focus groups, or observations. This type of research is often used to explore complex phenomena and to gain an understanding of people’s experiences and perspectives.

Quantitative Research

This method involves collecting and analyzing numerical data using statistical techniques. This type of research is often used to test hypotheses and to establish cause-and-effect relationships.

Longitudinal Studies

This method involves following a group of individuals over a period of time to observe changes and to identify patterns and trends. This type of study can be used to investigate the long-term effects of a particular intervention or exposure.

Data Analysis Methods

There are many different data analysis methods used in scientific research, and the choice of method depends on the type of data being collected and the research question. Here are some commonly used data analysis methods:

  • Descriptive statistics: This involves using summary statistics such as mean, median, mode, standard deviation, and range to describe the basic features of the data.
  • Inferential statistics: This involves using statistical tests to make inferences about a population based on a sample of data. Examples of inferential statistics include t-tests, ANOVA, and regression analysis.
  • Qualitative analysis: This involves analyzing non-numerical data such as interviews, focus groups, and observations. Qualitative analysis may involve identifying themes, patterns, or categories in the data.
  • Content analysis: This involves analyzing the content of written or visual materials such as articles, speeches, or images. Content analysis may involve identifying themes, patterns, or categories in the content.
  • Data mining: This involves using automated methods to analyze large datasets to identify patterns, trends, or relationships in the data.
  • Machine learning: This involves using algorithms to analyze data and make predictions or classifications based on the patterns identified in the data.

Application of Scientific Research

Scientific research has numerous applications in many fields, including:

  • Medicine and healthcare: Scientific research is used to develop new drugs, medical treatments, and vaccines. It is also used to understand the causes and risk factors of diseases, as well as to develop new diagnostic tools and medical devices.
  • Agriculture : Scientific research is used to develop new crop varieties, to improve crop yields, and to develop more sustainable farming practices.
  • Technology and engineering : Scientific research is used to develop new technologies and engineering solutions, such as renewable energy systems, new materials, and advanced manufacturing techniques.
  • Environmental science : Scientific research is used to understand the impacts of human activity on the environment and to develop solutions for mitigating those impacts. It is also used to monitor and manage natural resources, such as water and air quality.
  • Education : Scientific research is used to develop new teaching methods and educational materials, as well as to understand how people learn and develop.
  • Business and economics: Scientific research is used to understand consumer behavior, to develop new products and services, and to analyze economic trends and policies.
  • Social sciences : Scientific research is used to understand human behavior, attitudes, and social dynamics. It is also used to develop interventions to improve social welfare and to inform public policy.

How to Conduct Scientific Research

Conducting scientific research involves several steps, including:

  • Identify a research question: Start by identifying a question or problem that you want to investigate. This question should be clear, specific, and relevant to your field of study.
  • Conduct a literature review: Before starting your research, conduct a thorough review of existing research in your field. This will help you identify gaps in knowledge and develop hypotheses or research questions.
  • Develop a research plan: Once you have a research question, develop a plan for how you will collect and analyze data to answer that question. This plan should include a detailed methodology, a timeline, and a budget.
  • Collect data: Depending on your research question and methodology, you may collect data through surveys, experiments, observations, or other methods.
  • Analyze data: Once you have collected your data, analyze it using appropriate statistical or qualitative methods. This will help you draw conclusions about your research question.
  • Interpret results: Based on your analysis, interpret your results and draw conclusions about your research question. Discuss any limitations or implications of your findings.
  • Communicate results: Finally, communicate your findings to others in your field through presentations, publications, or other means.

Purpose of Scientific Research

The purpose of scientific research is to systematically investigate phenomena, acquire new knowledge, and advance our understanding of the world around us. Scientific research has several key goals, including:

  • Exploring the unknown: Scientific research is often driven by curiosity and the desire to explore uncharted territory. Scientists investigate phenomena that are not well understood, in order to discover new insights and develop new theories.
  • Testing hypotheses: Scientific research involves developing hypotheses or research questions, and then testing them through observation and experimentation. This allows scientists to evaluate the validity of their ideas and refine their understanding of the phenomena they are studying.
  • Solving problems: Scientific research is often motivated by the desire to solve practical problems or address real-world challenges. For example, researchers may investigate the causes of a disease in order to develop new treatments, or explore ways to make renewable energy more affordable and accessible.
  • Advancing knowledge: Scientific research is a collective effort to advance our understanding of the world around us. By building on existing knowledge and developing new insights, scientists contribute to a growing body of knowledge that can be used to inform decision-making, solve problems, and improve our lives.

Examples of Scientific Research

Here are some examples of scientific research that are currently ongoing or have recently been completed:

  • Clinical trials for new treatments: Scientific research in the medical field often involves clinical trials to test new treatments for diseases and conditions. For example, clinical trials may be conducted to evaluate the safety and efficacy of new drugs or medical devices.
  • Genomics research: Scientists are conducting research to better understand the human genome and its role in health and disease. This includes research on genetic mutations that can cause diseases such as cancer, as well as the development of personalized medicine based on an individual’s genetic makeup.
  • Climate change: Scientific research is being conducted to understand the causes and impacts of climate change, as well as to develop solutions for mitigating its effects. This includes research on renewable energy technologies, carbon capture and storage, and sustainable land use practices.
  • Neuroscience : Scientists are conducting research to understand the workings of the brain and the nervous system, with the goal of developing new treatments for neurological disorders such as Alzheimer’s disease and Parkinson’s disease.
  • Artificial intelligence: Researchers are working to develop new algorithms and technologies to improve the capabilities of artificial intelligence systems. This includes research on machine learning, computer vision, and natural language processing.
  • Space exploration: Scientific research is being conducted to explore the cosmos and learn more about the origins of the universe. This includes research on exoplanets, black holes, and the search for extraterrestrial life.

When to use Scientific Research

Some specific situations where scientific research may be particularly useful include:

  • Solving problems: Scientific research can be used to investigate practical problems or address real-world challenges. For example, scientists may investigate the causes of a disease in order to develop new treatments, or explore ways to make renewable energy more affordable and accessible.
  • Decision-making: Scientific research can provide evidence-based information to inform decision-making. For example, policymakers may use scientific research to evaluate the effectiveness of different policy options or to make decisions about public health and safety.
  • Innovation : Scientific research can be used to develop new technologies, products, and processes. For example, research on materials science can lead to the development of new materials with unique properties that can be used in a range of applications.
  • Knowledge creation : Scientific research is an important way of generating new knowledge and advancing our understanding of the world around us. This can lead to new theories, insights, and discoveries that can benefit society.

Advantages of Scientific Research

There are many advantages of scientific research, including:

  • Improved understanding : Scientific research allows us to gain a deeper understanding of the world around us, from the smallest subatomic particles to the largest celestial bodies.
  • Evidence-based decision making: Scientific research provides evidence-based information that can inform decision-making in many fields, from public policy to medicine.
  • Technological advancements: Scientific research drives technological advancements in fields such as medicine, engineering, and materials science. These advancements can improve quality of life, increase efficiency, and reduce costs.
  • New discoveries: Scientific research can lead to new discoveries and breakthroughs that can advance our knowledge in many fields. These discoveries can lead to new theories, technologies, and products.
  • Economic benefits : Scientific research can stimulate economic growth by creating new industries and jobs, and by generating new technologies and products.
  • Improved health outcomes: Scientific research can lead to the development of new medical treatments and technologies that can improve health outcomes and quality of life for people around the world.
  • Increased innovation: Scientific research encourages innovation by promoting collaboration, creativity, and curiosity. This can lead to new and unexpected discoveries that can benefit society.

Limitations of Scientific Research

Scientific research has some limitations that researchers should be aware of. These limitations can include:

  • Research design limitations : The design of a research study can impact the reliability and validity of the results. Poorly designed studies can lead to inaccurate or inconclusive results. Researchers must carefully consider the study design to ensure that it is appropriate for the research question and the population being studied.
  • Sample size limitations: The size of the sample being studied can impact the generalizability of the results. Small sample sizes may not be representative of the larger population, and may lead to incorrect conclusions.
  • Time and resource limitations: Scientific research can be costly and time-consuming. Researchers may not have the resources necessary to conduct a large-scale study, or may not have sufficient time to complete a study with appropriate controls and analysis.
  • Ethical limitations : Certain types of research may raise ethical concerns, such as studies involving human or animal subjects. Ethical concerns may limit the scope of the research that can be conducted, or require additional protocols and procedures to ensure the safety and well-being of participants.
  • Limitations of technology: Technology may limit the types of research that can be conducted, or the accuracy of the data collected. For example, certain types of research may require advanced technology that is not yet available, or may be limited by the accuracy of current measurement tools.
  • Limitations of existing knowledge: Existing knowledge may limit the types of research that can be conducted. For example, if there is limited knowledge in a particular field, it may be difficult to design a study that can provide meaningful results.

About the author

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Muhammad Hassan

Researcher, Academic Writer, Web developer

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EurekAlert! Science News

  • News Releases

New research confirms plastic production is directly linked to plastic pollution

udy finds that more than half of global branded plastic pollution can be tracked to just 56 companies

Break Free From Plastic

Volunteers record data on branded plastic waste during a brand audit in Jakarta, Indonesia.

Volunteers with Greenpeace Indonesia record data on branded plastic waste during a brand audit in Jakarta, Indonesia on January 20, 2024.

Credit: Ezra Acayan, Break Free From Plastic, 2024

APRIL 24, 2024 – A research paper published today in Science Advances reveals a direct correlation between plastic production and plastic pollution, such that every 1% increase in plastic production is associated with a 1% increase in plastic pollution in the environment. The study finds that fast-moving consumer goods companies disproportionately contribute to the problem more than household and retail companies. The study marks the first robust quantification of the global relationship between plastic production and pollution.

The research, led by scientists from a dozen different universities in the United States of America, Australia, the Philippines, New Zealand, Estonia, Chile, Sweden, Canada, and the United Kingdom, found that 56 global companies are responsible for more than half of all branded plastic pollution. The Coca-Cola Company was responsible for 11% of branded waste, followed by PepsiCo (5%), Nestlé (3%), Danone (3%), and Altria/Philip Morris International (2%). The top companies identified produce food, beverage, or tobacco products. 

The five-year analysis used #BreakFreeFromPlastic brand audit data from 1,576 audit events across 84 countries. Brand audits are citizen science initiatives in which volunteers conduct waste clean-ups and document the brands found on the pollution collected. Over five years, more than 200,000 volunteers submitted data through Break Free From Plastic or 5 Gyres’ TrashBlitz app.

The strong relationship between plastic production and pollution, across geographies and widely varying waste management systems, suggests that reducing plastic production in the fast-moving consumer goods sector is a viable solution to curb global plastic pollution. As world leaders negotiate a Global Plastics Treaty at INC-4 this month in Ottawa, Canada, this research serves as a tool to support a high-ambition legally binding treaty that includes provisions on corporate accountability, prioritizing plastic production reduction measures, and promoting reuse and refill systems. 

Read the paper here .

Co-Author Quotes:

“When I first saw the relationship between production and pollution, I was shocked. I wanted to throw up, it was the reality of my worst nightmare. It means that producers big and small are toeing the line, despite all the things big brands say they are doing, we see no positive impact from their efforts. But on the other hand, it gives me hope that fast-moving consumer goods companies reducing their plastic production and shifting towards more durable and reusable products would have a strong positive impact on the environment.”

- Win Cowger, Research Director, The Moore Institute for Plastic Pollution Research 

“Our study underscores the critical role of corporate accountability in tackling plastic pollution. We, as individuals, are not responsible for the plastics crisis; the onus lies on these 56 global companies to take decisive action. I urge world leaders at INC-4 to listen to the science, and to consider the clear link between plastic production and pollution during negotiations for a Global Plastics Treaty.”

- Dr. Lisa Erdle, Director of Science & Innovation, The 5 Gyres Institute

“This scientific study affirms what activists and communities impacted by plastic pollution have been saying for years: the more plastic is produced, the more plastic is found in the environment. It’s that simple. Yet again, plastic polluters like The Coca-Cola Company, PepsiCo, and Nestlé continue to fail on their voluntary commitment to reduce their plastic footprint. We need a legally binding Global Plastics Treaty that mandates significant cuts in plastic production and stops corporations from flooding the planet with single-use plastic.”

- Sybil Bullock, Associate Campaign Manager, Break Free From Plastic

“The research identifies the top 56 multinational companies contributing to global branded plastic litter. Past studies have ranked countries like the Philippines, Indonesia, Sri Lanka, Bangladesh, Nigeria, etc. among the top sources of plastic waste into the ocean. This has led to a narrative in social media that blames poor countries for global plastic pollution, ignoring the fact that around the 1960s global companies flooded developing countries with cheap, single-use plastics displacing traditional biodegradable materials and sustainable reuse-refill systems which, in the case of the Philippines, dated back to the 16th century. The current study focuses instead on the role of corporations and global plastic production.”  

- Dr. Jorge Emmanuel, Adjunct Professor and Research Faculty Fellow, Institute of Environmental & Marine Sciences, and College of Engineering & Design, Silliman University

“This research provides the first quantification of global producer contribution to branded plastic pollution. The findings suggest that single-use packaging significantly contributes to branded plastic pollution. This data can help inform ways to address plastic production and reduce plastic waste ending up in the environment.” 

- Dr. Kathy Willis, Postdoctoral Fellow from CSIRO, Australia’s national science agency

About Break Free From Plastic (BFFP)  

#BreakFreeFromPlastic is a global movement envisioning a future free from plastic pollution. Since its launch in 2016, more than 2,000 organizations and 11,000 individual supporters from across the world have joined the movement to demand massive reductions in single-use plastics and push for lasting solutions to the plastic pollution crisis. BFFP member organizations and individuals share the values of environmental protection and social justice and work together through a holistic approach to bring about systemic change. This means tackling plastic pollution across the whole plastics value chain—from extraction to disposal—focusing on prevention rather than cure and providing effective solutions. www.breakfreefromplastic.org .

About The 5 Gyres Institute

The 5 Gyres Institute (5 Gyres) is a leader in the global movement against plastic pollution with more than 10 years of expertise in scientific research, engagement, and education. With the original goal of answering a few key scientific questions about ocean plastics, co- founders Marcus Eriksen and Anna Cummins led 19 research expeditions in all five subtropical gyres, as well as many of the world’s lakes and rivers. 5 Gyres continues to lead with scientific research to drive upstream solutions through education, advocacy, and community building. Learn more at 5gyres.org and @5gyres .

Special Note to Reporters

More information, including a copy of the paper, can be found online at the Science Advances press package at https://www.eurekalert.org/press/vancepak/ . Several scientists who contributed to this paper will be present at INC-4 and available for interviews upon request. 

Science Advances

10.1126/sciadv.adj8275

Method of Research

Data/statistical analysis

Subject of Research

Not applicable

Article Title

Global Producer Responsibility for Plastic Pollution

Article Publication Date

24-Apr-2024

COI Statement

Lead coauthor Win Cowger received funding from Break Free From Plastic to conduct the research resulting in this manuscript.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

Original Source

Translations.

  • MyU : For Students, Faculty, and Staff

Roberts group publishes synthetic chemistry research in Science

A group of chemists from the Roberts group pose for a photo

MINNEAPOLIS / ST. PAUL (04/25/2024) – The Roberts group recently published a new paper in  Science that explores enabling the use of a previously inaccessible functional group for N-heteroaromatic compounds.  Science – the flagship journal for the American Association for the Advancement of Science (AAAS) – publishes groundbreaking research across the spectrum of scientific fields. 

N-Heteroaromatic are an important class of molecules which are key to elements of pharmaceutical, agrochemicals and materials. Efficient and innovative methods to make functionalized heteroarenes are needed to make these critical molecules more readily available. One attractive method for the synthesis of N-heteroaromatic compounds would be the use of a N-heteroaryne – an aromatic ring containing a nitrogen atom and a triple bond. N-heteroarynes within 6-membered rings have been used as key intermediates for synthetic chemists, however after 120 years of aryne research the use of 5-membered N-heteroarynes has remained elusive. Notably, a computational model has predicted these 5-membered N-heteroarynes to be “inaccessible”, meaning they cannot be accessed synthetically due to the excessive strain associated with forming a triple bond within a small 5-membered ring.

The Roberts group hypothesized by applying principles of organometallic chemistry, forming 5-membered N-heteroarynes at a metal center would alleviate strain through back-bonding and allow access to this previously inaccessible functional group.  In a report which was published in  Science , the Roberts group achieved the first synthesis of 7-azaindole-2,3-yne complexes using phosphine-ligated nickel complexes. The complexes were characterized by X-ray crystallography and spectroscopy. Additionally, the complexes showed ambiphilic reactivity, meaning they react with both nucleophiles and electrophiles, making them an exceptionally versatile tool for the synthesis of N-heteroaromatic compounds. This exciting research breakthrough will have important applications in expanding the “chemist’s toolbox” for developing new pharmaceuticals, agrochemicals, and materials, and also provide fundamental insights on accessing synthetically useful strained intermediates.

This new work from the Roberts group was enabled by the National Institutes of Health, and by a multitude of fellowships held by the paper’s collaborators. Fifth-year PhD candidate Erin Plasek is supported by the UMN Doctoral Dissertation Fellowship;  fifth-year student Jenna Humke is supported by the National Science Foundation Graduate Research Fellowship Program; both Plasek and Humke are supported by Department of Chemistry Fourth-Year Excellence Fellowships; and third-year graduate student Sallu Kargbo was supported by the Gleysteen Departmental First Year Fellowship. For leadership excellence of her research program, Courtney Roberts has been awarded the 3M Alumni Professorship, the McKnight Land-Grant Professorship, the Amgen Young Investigator Award, and the Thieme Chemistry Journal Award in the past year alone.

“It is incredibly exciting to see this work, which started out as a few lines in my initial job proposals, come to fruition because of the exceptional team of students and postdocs behind it. We are delighted to finally share this new functional group for 5-membered N-heterocycles with the synthetic community,” Roberts writes.

Founded in 2019, the Roberts group uses inorganic and organometallic chemistry and catalysis to solve fundamental problems in synthetic organic chemistry related to pharmaceuticals, agrochemicals and materials. They have published work related to early transition metal catalysis, photochemical reactions, and inducing regioselectivity in metal-mediated aryne reactions. The group now consists of 14 graduate students, two postdoctoral associates, and one undergraduate researcher from a range of organic and inorganic backgrounds, which allows the team to take a multidisciplinary approach to solving research problems. They value diversity, collaboration, inclusivity, and radical candor in everything they do.

Roberts Group Website

Science Vol. 384 Issue 6694

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Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.

Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

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Kim Parker is director of social trends research at Pew Research Center

How Teens and Parents Approach Screen Time

Who are you the art and science of measuring identity, u.s. centenarian population is projected to quadruple over the next 30 years, older workers are growing in number and earning higher wages, teens, social media and technology 2023, most popular.

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  • 08 May 2019

Toolkit: How to write a great paper

A clear format will ensure that your research paper is understood by your readers. Follow:

1. Context — your introduction

2. Content — your results

3. Conclusion — your discussion

Plan your paper carefully and decide where each point will sit within the framework before you begin writing.

paper scientific research

Collection: Careers toolkit

Straightforward writing

Scientific writing should always aim to be A, B and C: Accurate, Brief, and Clear. Never choose a long word when a short one will do. Use simple language to communicate your results. Always aim to distill your message down into the simplest sentence possible.

Choose a title

A carefully conceived title will communicate the single core message of your research paper. It should be D, E, F: Declarative, Engaging and Focused.

Conclusions

Add a sentence or two at the end of your concluding statement that sets out your plans for further research. What is next for you or others working in your field?

Find out more

See additional information .

doi: https://doi.org/10.1038/d41586-019-01362-9

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Student Highlight – Kylie Llamas – Research Paper

Kylie Llamas, a Psychology major, has co-authored a peer-reviewed research paper titled “The Relation Between Infants’ Manual Lateralization and Their Performance of Object Manipulation and Tool Use”, recently published in the Symmetry journal. The paper offers important insights into the development of role-differentiated bimanual manipulation and tool use in relation to infants’ manual lateralization and sex. It highlights the importance of hand coupling for more advanced manual object exploration.  Click here to see Kylie’s amazing work.

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