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Have you ever felt puzzled by trying to discern the difference between the terms, evidence-based and research-based ? Or have you ever found yourself feeling intimidated when someone asked you, “But is that program/practice evidence-based?” I know I have. To help me clarify my understanding, I reached out to my colleagues here at the Center and my old friend, Google. I’ve come to the following understandings and a bit of friendly advice – stay curious! Please keep reading if you’re feeling as perplexed as I am.
My current working definition of research-based instruction has come to mean those practices/programs that are based on well-supported and documented theories of learning. The instructional approach is based on research that supports the principles it incorporates, but there may not be specific research or its own evidence to directly demonstrate its effectiveness.
Defining evidence-based practice has been more headache-inducing as the term is frequently and widely used to mean a myriad of things. Currently, I have come to understand that evidence-based practices are those that have been researched with either experimental studies (think randomly assigned control groups), quasi-experimental studies (comparison groups that are not randomized), or studies that were well-designed and well-implemented correlational studies with statistical controls for selection bias. In brief, a specific study (or studies) has been done to test its effectiveness.
By no means are these definitions ready for Merriam-Webster, but they are helping me to make sense of the terms.
So what do you say or ask when “research” is thrown your way?
Recently, I met with a group of literacy coaches and we discussed how to respond when a fellow educator approaches them with “research” either supporting or refuting an instructional practice or program. My best advice to them probably sounded like a Viking River Cruise commercial – “Be curious!” Below are some examples of ways to respond to demonstrate that you are open to learning more.
3. I’m wondering how many studies have been conducted that replicate those results. 4. That research sounds important. Can you share the source with me? Perhaps it will be helpful for our grade level team to read it and discuss the findings together.
As educators, we are always looking for the most effective ways to support our students. Stay open to new findings and be sure to slow the process down so you probe deeper to learn if there truly is current research to back what people are claiming. Then be sure to evaluate the credibility of the source of information, the methods or processes used to critique or research, and don’t forget to rely upon trusted sources like What Works Clearinghouse . You might also appreciate a lecture presented by Maren Aukerman that discusses comprehensive, research-informed literacy instruction . The more you dig, the more you may find that many practices and programs touted as evidence-based are either based on personal anecdotes and stories or the research base is flimsy at best.
Find out how teachers can instill the belief in their students that they’re writers with valuable stories to share and communicate.
When I need a little writerly advice, I often turn to Ralph Fletcher. We’ve never met, but his advice about writing for both students and teachers has stayed with me for the last 20 years.
Research highlights the significant benefits of independent reading, including improved literacy skills, greater empathy, and a lifelong love of reading.
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Methodology
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.
First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :
Second, decide how you will analyze the data .
Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.
Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.
Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.
For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .
If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .
Qualitative | to broader populations. . | |
---|---|---|
Quantitative | . |
You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.
Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).
If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.
Primary | . | methods. |
---|---|---|
Secondary |
In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .
In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .
To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.
Descriptive | . . | |
---|---|---|
Experimental |
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Research method | Primary or secondary? | Qualitative or quantitative? | When to use |
---|---|---|---|
Primary | Quantitative | To test cause-and-effect relationships. | |
Primary | Quantitative | To understand general characteristics of a population. | |
Interview/focus group | Primary | Qualitative | To gain more in-depth understanding of a topic. |
Observation | Primary | Either | To understand how something occurs in its natural setting. |
Secondary | Either | To situate your research in an existing body of work, or to evaluate trends within a research topic. | |
Either | Either | To gain an in-depth understanding of a specific group or context, or when you don’t have the resources for a large study. |
Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.
Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.
Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:
Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .
Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).
You can use quantitative analysis to interpret data that was collected either:
Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.
Research method | Qualitative or quantitative? | When to use |
---|---|---|
Quantitative | To analyze data collected in a statistically valid manner (e.g. from experiments, surveys, and observations). | |
Meta-analysis | Quantitative | To statistically analyze the results of a large collection of studies. Can only be applied to studies that collected data in a statistically valid manner. |
Qualitative | To analyze data collected from interviews, , or textual sources. To understand general themes in the data and how they are communicated. | |
Either | To analyze large volumes of textual or visual data collected from surveys, literature reviews, or other sources. Can be quantitative (i.e. frequencies of words) or qualitative (i.e. meanings of words). |
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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
Research bias
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.
Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.
In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .
A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.
In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
The research methods you use depend on the type of data you need to answer your research question .
Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.
Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).
In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .
In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.
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Title: event stream based human action recognition: a high-definition benchmark dataset and algorithms.
Abstract: Human Action Recognition (HAR) stands as a pivotal research domain in both computer vision and artificial intelligence, with RGB cameras dominating as the preferred tool for investigation and innovation in this field. However, in real-world applications, RGB cameras encounter numerous challenges, including light conditions, fast motion, and privacy concerns. Consequently, bio-inspired event cameras have garnered increasing attention due to their advantages of low energy consumption, high dynamic range, etc. Nevertheless, most existing event-based HAR datasets are low resolution ($346 \times 260$). In this paper, we propose a large-scale, high-definition ($1280 \times 800$) human action recognition dataset based on the CeleX-V event camera, termed CeleX-HAR. It encompasses 150 commonly occurring action categories, comprising a total of 124,625 video sequences. Various factors such as multi-view, illumination, action speed, and occlusion are considered when recording these data. To build a more comprehensive benchmark dataset, we report over 20 mainstream HAR models for future works to compare. In addition, we also propose a novel Mamba vision backbone network for event stream based HAR, termed EVMamba, which equips the spatial plane multi-directional scanning and novel voxel temporal scanning mechanism. By encoding and mining the spatio-temporal information of event streams, our EVMamba has achieved favorable results across multiple datasets. Both the dataset and source code will be released on \url{ this https URL }
Comments: | In Peer Review |
Subjects: | Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE) |
Cite as: | [cs.CV] |
(or [cs.CV] for this version) | |
Focus to learn more arXiv-issued DOI via DataCite (pending registration) |
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Definition: Research Project is a planned and systematic investigation into a specific area of interest or problem, with the goal of generating new knowledge, insights, or solutions. It typically involves identifying a research question or hypothesis, designing a study to test it, collecting and analyzing data, and drawing conclusions based on ...
A research project is an academic, scientific, or professional undertaking to answer a research question. Research projects can take many forms, such as qualitative or quantitative, descriptive, longitudinal, experimental, or correlational. What kind of research approach you choose will depend on your topic.
Methodology - the methods you will use for your primary research. Findings and results - presenting the data from your primary research. Discussion - summarising and analysing your research and what you have found out. Conclusion - how the project went (successes and failures), areas for future study.
Research, Project. What is Research. Research is a careful study a researcher conducts using a systematic approach and scientific methods. A research study typically involves several components: abstract, introduction, literature review, research design, and method, results and analysis, conclusion, bibliography. Researchers usually begin a ...
This describes who the problem affects, why research is needed, and how your research project will contribute to solving it. >>Read more about defining a research problem. Step 3: Formulate research questions. Next, based on the problem statement, you need to write one or more research questions. These target exactly what you want to find out.
According to a Rutgers University resource titled, Definition of a research project and specifications for fulfilling the requirement, "A research project is a scientific endeavor to answer a research question.". Specifically, projects may take the form of "case series, case control study, cohort study, randomized, controlled trial ...
A research design is defined as the overall plan or structure that guides the process of conducting research. It is a critical component of the research process and serves as a blueprint for how a study will be carried out, including the methods and techniques that will be used to collect and analyze data.
Evidence-Informed (or Research-Based ) Practices are practices that were developed based on the best research available in the field. This means that users can feel confident that the strategies and activities included in the program or practice have a strong scientific basis for their use. Unlike Evidence-Based Practices or Programs, Research ...
Research Process. Definition: ... Based on the research question and literature review, the researcher can formulate a hypothesis or research objectives. ... Start with a clear research question: A well-defined research question is the foundation of a successful research project. It should be specific, relevant, and achievable within the given ...
And the idea of the researcher as a creator - beyond writing - is novel. So practice-based research in the social sciences, arts and humanities is novel because it positions the researcher as a creator, who is engaged in an exploratory creative process in order to explore their research question. Yes. Exactly.
Research proposal examples. Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We've included a few for you below. Example research proposal #1: "A Conceptual Framework for Scheduling Constraint Management".
Project-based learning (PBL) is a model According to the definitions found in PBL based on challenging questions or problems, decision making, or investigative activities; autonomously over extended periods of time; presentations (Jones, Rasmussen, & Moffitt, 1999). Other defining features found in the assessment, teacher facilitation but not ...
research project is a scientific endeavor to answer a research question. Research projects may include: Case series. Case control study. Cohort study. Randomized, controlled trial. Survey. Secondary data analysis such as decision analysis, cost effectiveness analysis or meta-analysis. Each resident must work under the guidance of a faculty mentor.
A research question is broken down into more precise objectives. The objectives lead to more precise methods and definition of key terms. The objectives should be SMART-Specific, Measurable, Achievable, Realistic, Time-framed, and should cover the entire breadth of the project. The objectives are sometimes organized into hierarchies: Primary ...
A research-based program is a program designed based on scientific theories. With this type of program, an education researcher may develop an intervention based on research from educational theories and published studies. The researcher can describe their program as research-based because they used existing analyses and theories to develop it.
Before conducting a study, a research proposal should be created that outlines researchers' plans and methodology and is submitted to the concerned evaluating organization or person. Creating a research proposal is an important step to ensure that researchers are on track and are moving forward as intended. A research proposal can be defined as a detailed plan or blueprint for the proposed ...
Research is defined as a meticulous and systematic inquiry process designed to explore and unravel specific subjects or issues with precision. This methodical approach encompasses the thorough collection, rigorous analysis, and insightful interpretation of information, aiming to delve deep into the nuances of a chosen field of study.
A research project is an academic, scientific, or professional undertaking to answer a research question. Research projects can take many forms, such as qualitative or quantitative, descriptive, longitudinal, experimental, or correlational. What kind of research approach you choose will depend on your topic.
Defining evidence-based practice has been more headache-inducing as the term is frequently and widely used to mean a myriad of things. Currently, I have come to understand that evidence-based practices are those that have been researched with either experimental studies (think randomly assigned control groups), quasi-experimental studies ...
There are two types of practice related research: practice-based and practice-led: 1. If a creative artefact is the basis of the contribution to knowledge, the research is practice-based. 2. If ...
Types of Research Designs Compared | Guide & Examples. Published on June 20, 2019 by Shona McCombes.Revised on June 22, 2023. When you start planning a research project, developing research questions and creating a research design, you will have to make various decisions about the type of research you want to do.. There are many ways to categorize different types of research.
The effectiveness of research-based learning. Conducting one's own research project involves various cognitive, behavioural, and affective experiences (Lopatto, Citation 2009, 29), which in turn lead to a wide range of benefits associated with RBL. RBL is associated with long-term societal benefits because it can foster scientific careers: Students participating in RBL reported a greater ...
Based on 43 documents. Remove Advertising. Research Project means a discrete scientific endeavor to answer a research question or a set of research questions. A Research Project must include a description of a defined protocol, clearly articulated goal (s), defined methods and outputs, and a defined start and end date.
Project 2025, also known as the 2025 Presidential Transition Project, [3] is a political initiative published by the Heritage Foundation that aims to promote conservative and right-wing policies to reshape the United States federal government and consolidate executive power if Donald Trump wins the 2024 presidential election.
Project 2025 is backed by a $22m (£17m) budget and includes strategies for implementing policies immediately after the presidential inauguration in January 2025.
Your official source for the latest T-Mobile news and updates, along with the newest devices, offers, and stories from the world of T-Mobile.
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design. When planning your methods, there are two key decisions you will make. First, decide how you will collect data. Your methods depend on what type of data you need to answer your research question:
Human Action Recognition (HAR) stands as a pivotal research domain in both computer vision and artificial intelligence, with RGB cameras dominating as the preferred tool for investigation and innovation in this field. However, in real-world applications, RGB cameras encounter numerous challenges, including light conditions, fast motion, and privacy concerns. Consequently, bio-inspired event ...