research paper on 2

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

Knowledge Base

Methodology

Research Methods | Definitions, Types, Examples

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 :

Qualitative vs. quantitative : Will your data take the form of words or numbers?
Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

For quantitative data, you can use statistical analysis methods to test relationships between variables.
For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in 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.

Qualitative vs. quantitative data

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 vs. secondary research

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

Descriptive vs. experimental data

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

Prevent plagiarism. Run a free check.

Research methods for collecting data
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 methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
Using non-probability sampling methods .

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 methods

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:

During an experiment .
Using probability sampling methods .

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 methods for analyzing data
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).

Receive feedback on language, structure, and formatting

Professional editors proofread and edit your paper by focusing on:

Academic style
Vague sentences
Style consistency

See an example

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.

Chi square test of independence
Statistical power
Descriptive statistics
Degrees of freedom
Pearson correlation
Null hypothesis
Double-blind study
Case-control study
Research ethics
Data collection
Hypothesis testing
Structured interviews

Research bias

Hawthorne effect
Unconscious bias
Recall bias
Halo effect
Self-serving bias
Information 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 .

If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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.

Is this article helpful?

Other students also liked, writing strong research questions | criteria & examples.

What Is a Research Design | Types, Guide & Examples
Data Collection | Definition, Methods & Examples

"I thought AI Proofreading was useless but.."

I've been using Scribbr for years now and I know it's a service that won't disappoint. It does a good job spotting mistakes”

VIDEO

WRITING A RESEARCH TITLE || PRACTICAL RESEARC 2
IB English: Paper 2
Reading and Writing Research Paper
022 Writing research papers a complete guide
RESEARCH II Q1 Module 4. Steps in Research Process (Part 1)
IB English: Paper 2

COMMENTS

Google Scholar
Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.
How to Write a Research Paper
Conduct preliminary research. Develop a thesis statement. Create a research paper outline. Write a first draft of the research paper. Write the introduction. Write a compelling body of text. Write the conclusion. The second draft. The revision process.
Writing a Research Paper Introduction
Table of contents. Step 1: Introduce your topic. Step 2: Describe the background. Step 3: Establish your research problem. Step 4: Specify your objective (s) Step 5: Map out your paper. Research paper introduction examples. Frequently asked questions about the research paper introduction.
Research Paper
Definition: Research Paper is a written document that presents the author's original research, analysis, and interpretation of a specific topic or issue. It is typically based on Empirical Evidence, and may involve qualitative or quantitative research methods, or a combination of both. The purpose of a research paper is to contribute new ...
How To Write A Research Paper (FREE Template
Step 2: Develop a structure and outline. With your research question pinned down and your literature digested and catalogued, it's time to move on to planning your actual research paper. It might sound obvious, but it's really important to have some sort of rough outline in place before you start writing your paper.
Writing a Research Paper: 2nd Edition
The benefits of this new 2nd edition. Restructured content for a better learning experience. Enriched content with extensive real-world examples. Bite-size lessons on each topic to fit busy schedules. Strategies to apply narrative tools when writing research papers. Detailed examples for explaining concepts, taken from real papers where possible.
How to Write a Research Paper
By refining your focus, you can produce a thoughtful and engaging paper that effectively communicates your ideas to your readers. 5. Write a thesis statement. A thesis statement is a one-to-two-sentence summary of your research paper's main argument or direction.
The Ultimate Guide to Writing a Research Paper
What is a research paper? A research paper is a type of academic writing that provides an in-depth analysis, evaluation, or interpretation of a single topic, based on empirical evidence. Research papers are similar to analytical essays, except that research papers emphasize the use of statistical data and preexisting research, along with a strict code for citations.
How to Write a Research Paper
Research papers are a requirement for most college courses, so knowing how to write a research paper is important. These in-depth pieces of academic writing can seem pretty daunting, but there's no need to panic. When broken down into its key components, writing your paper should be a manageable and, dare we say it, enjoyable task. ...
How to write a research paper
Then, writing the paper and getting it ready for submission may take me 3 to 6 months. I like separating the writing into three phases. The results and the methods go first, as this is where I write what was done and how, and what the outcomes were. In a second phase, I tackle the introduction and refine the results section with input from my ...
Writing a Research Paper
The pages in this section cover the following topic areas related to the process of writing a research paper: Genre - This section will provide an overview for understanding the difference between an analytical and argumentative research paper. Choosing a Topic - This section will guide the student through the process of choosing topics ...
Writing a Research Paper
Writing a Research Paper. This page lists some of the stages involved in writing a library-based research paper. Although this list suggests that there is a simple, linear process to writing such a paper, the actual process of writing a research paper is often a messy and recursive one, so please use this outline as a flexible guide.
How to Write and Publish a Research Paper for a Peer ...
Communicating research findings is an essential step in the research process. Often, peer-reviewed journals are the forum for such communication, yet many researchers are never taught how to write a publishable scientific paper. In this article, we explain the basic structure of a scientific paper and describe the information that should be included in each section. We also identify common ...
Writing a Research Paper: From the Parts to the Whole
up of two parts, the title and a sub-title, separated by a colon, as in the. case of this paper. Author and affiliation. The name of the author (or authors) i s given. below the title, followed by ...
How to Write a Research Paper
STEP 8: How to Write the Results Section of a Research Paper. STEP 9: How to Write the Discussion Section of a Research Paper. STEP 10: How to Write the Conclusion of a Research Paper. STEP 11: Effectively Citing and Referencing Your Sources. STEP 12: Preparing Figures.
How to Write Your First Research Paper
Move 2. Research Context: a. Compare and contrast your findings with those of other published results. b. Explain any discrepancies and unexpected findings. c. State the limitations, weaknesses, and assumptions of your study. Move 3. Closing the paper: a. Summarize the answers to the research questions. b.
How to Write a Literature Review
Examples of literature reviews. Step 1 - Search for relevant literature. Step 2 - Evaluate and select sources. Step 3 - Identify themes, debates, and gaps. Step 4 - Outline your literature review's structure. Step 5 - Write your literature review.
Type 2 diabetes
Type 2 diabetes mellitus, the most frequent subtype of diabetes, is a disease characterized by high levels of blood glucose (hyperglycaemia). It arises from a resistance to and relative deficiency ...
Type 2 Diabetes Mellitus: A Review of Current Trends
Introduction. Diabetes mellitus (DM) is probably one of the oldest diseases known to man. It was first reported in Egyptian manuscript about 3000 years ago. 1 In 1936, the distinction between type 1 and type 2 DM was clearly made. 2 Type 2 DM was first described as a component of metabolic syndrome in 1988. 3 Type 2 DM (formerly known as non-insulin dependent DM) is the most common form of DM ...
Clinical Research on Type 2 Diabetes: A Promising and Multifaceted
Two review papers address the complications that are non-traditionally linked to type 2 diabetes, although currently under exhaustive research: bone health and non-alcoholic fatty liver disease [9,10]. The multifaceted nature of type 2 diabetes is clearly visualized owing to the holistic angle used by these approaches.
(PDF) CHAPTER 2 REVIEW OF RELATED LITERATURE
perspectives considered in this paper are (a) the unified theory of behavioral inhibition, sustained attention and EF (Barkley , 1997), (b) the cognitive- energetic model (Sergeant, Oosterlaan, &
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety ...
27 August 2024 15:30-17:00 Economics Revision (Paper 2) Grade 12
About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright ...
IoT‐based remote monitoring system: A new era for patient engagement
2 RESEARCH METHOD. This research adopts a systematic review and narrative synthesis. ... Papers were selected for their direct relevance to the study's scope and contribution to developing the engagement construct. Table 1 illustrates the inclusion and exclusion criteria for the study. This meticulous process led to a distilled collection of 35 ...
Research Methods
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:
The Drivers of Post-Pandemic Inflation
In addition to working papers, the NBER disseminates affiliates' latest findings through a range of free periodicals — the NBER Reporter, the NBER Digest, the Bulletin on Retirement and Disability, the Bulletin on Health, and the Bulletin on Entrepreneurship — as well as online conference reports, video lectures, and interviews.
Neural general circulation models for weather and climate
General circulation models (GCMs) are the foundation of weather and climate prediction1,2. GCMs are physics-based simulators that combine a numerical solver for large-scale dynamics with tuned ...
Supreme Secondary Learner Government and Its ...
DOI: 10.47119/ijrp1001501620246661 Corpus ID: 270317421; Supreme Secondary Learner Government and Its Relation in Shaping Center of Learning Culture @article{LorrMarananHarlan2024SupremeSL, title={Supreme Secondary Learner Government and Its Relation in Shaping Center of Learning Culture}, author={Judie Lorr Maranan Harlan}, journal={International Journal of Research Publications}, year={2024 ...