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Academic
Comprehensive Course on Research Methodology
Comprehensive Course on Research Methodology
Curriculum
15 Sections
191 Lessons
10 Weeks
Expanse all sections
Collapse all sections
Introduction to Research
8
1.0
What is Research?
1.1
Types of Research
1.2
Importance and Objectives of Research
1.3
Objectives of Research
1.4
Qualities of a Good Researcher
1.5
The Research Process
1.6
Stages of Research
1.7
Ethical Considerations in Research
Problem Context
19
2.0
Definition
2.1
Background Information
2.2
Existing Knowledge (Literature Review)
2.3
Gap in Knowledge
2.4
Real-World Relevance (Significance of the Problem)
2.5
Contextual Factors (Social, Economic, Political, Cultural, or Technological)
2.6
Challenges or Issues
2.7
Scope of the Problem
2.8
Theoretical Framework
2.9
Policy or Institutional Context
2.10
Historical Context
2.11
Practical or Operational Context
2.12
Geographic or Environmental Context
2.13
Technological Context
2.14
Cultural or Social Context
2.15
Ethical Considerations
2.16
Economic Context
2.17
Stakeholder Context
2.18
Rest
Research Design
8
3.0
What is Research Design? Definition
3.1
Purpose of Research Design
3.2
Types of Research Designs
3.3
Qualitative Research Design
3.4
Quantitative Research Design
3.5
Mixed-Method Research Design
3.6
Summary of the Three Types of Research Designs
3.7
Research Problem Formulation
Research Problem Formulation
8
4.1
Definition
4.2
Purpose
4.3
Steps in Formulating a Research Problem
4.4
Type of Questions
4.5
Data Analysis and Type of Research Questions
4.6
Example
4.7
Case Studies
4.8
Rest
Hypothesis Formulation
6
5.1
Definition
5.2
Null Hypothesis (H₀)
5.3
Alternative Hypothesis (H₁)
5.4
Purpose of Hypothesis
5.6
Example
5.7
Rest
Defining Variables
6
6.0
Definition
6.1
Independent Variable (IV)
6.2
Dependent Variable (DV)
6.3
Controlled (Extraneous) Variables
6.4
Examples
6.5
Rest
Operational Definitions of Variables
6
7.0
Definition
7.1
Purpose
7.2
Steps to Create Operational Definitions
7.3
Putting It All Together
7.4
Examples
7.5
Rest
Types of Research Designs
18
8.0
Definition
8.1
1- Experimental and Non-Experimental Design
8.2
Types of Experimental Designs
8.3
Non-Experimental Design
8.4
Types of Non-Experimental Designs
8.5
Examples
8.6
2- Cross-Sectional and Longitudinal Studies
8.7
Longitudinal Studies
8.8
Examples
8.9
3- Case Studies and Surveys
8.10
Surveys
8.11
Examples
8.12
4- Correlational and Causal-Comparative Research
8.13
Causal-Comparative Research
8.14
Examples
8.15
Summary Table
8.16
More Practice
8.17
Rest
Literature Review
30
9.0
1- Purpose of a Literature Review
9.1
Establish Context and Background
9.2
Identify Gaps in Knowledge
9.3
Avoid Duplication
9.4
Develop Theoretical Framework
9.5
Refine Research Questions and Hypotheses
9.6
Inform Methodology
9.7
Support Arguments and Findings
9.8
Enhance Understanding of the Topic
9.9
Examples
9.10
Sources of Literature
9.11
Books
9.12
Journal Articles
9.13
Conference Papers
9.14
Websites
9.15
Other Sources
9.16
Prectice
9.17
Rest
9.18
2- Steps to Conducting a Literature Review
9.19
Identifying Research Gaps
9.20
Reviewing Relevant Literature
9.21
Organizing and Synthesizing Sources
9.22
Writing a Critical and Comprehensive Review
9.23
More Practice
9.24
3- Citing and Referencing
9.25
Importance of Citations
9.26
Different Citation Styles
9.27
Choosing the Right Citation Style
9.28
More Practice
9.29
Rest
Sampling Methods
19
10.1
1- Introduction to Sampling
10.2
Definition and Importance of Sampling in Research
10.3
How to do that?
10.4
Population vs. Sample
10.5
How to do that?
10.6
Sampling Error and Sampling Bias
10.7
How to do that?
10.8
2- Sampling Techniques
10.9
Probability Sampling
10.10
How to do that?
10.11
Non-Probability Sampling
10.12
How to do that?
10.13
3- Factors Affecting Sample Size
10.14
Factors Affecting Sample Size
10.15
Power Analysis
10.16
Confidence Intervals
10.17
Relationship Between Power Analysis and Confidence Intervals
10.18
Case Studies
10.19
Rest
Data Collection Methods
16
11.0
1- Introduction to Data Collection
11.1
2- Types of Data
11.2
Secondary Data
11.3
Qualitative Data
11.4
Quantitative Data
11.5
Comparison of Data Types
11.6
2- Primary Data Collection Methods
11.7
Surveys and Questionnaires
11.8
Interviews
11.9
Observations
11.10
Focus Groups
11.11
3- Secondary Data Collection
11.12
Sources of Secondary Data
11.13
Evaluating the Reliability and Validity of Secondary Data
11.14
How to do that?
11.14
Rest
Data Analysis Methods
18
12.0
1- Introduction to Data Analysis
12.1
2- Quantitative Data Analysis
12.2
Descriptive Statistics
12.3
Inferential Statistics
12.4
Correlation and Regression Analysis
12.5
3- Qualitative Data Analysis
12.6
Coding and Thematic Analysis
12.7
Prectice
12.8
Content Analysis
12.9
Practice
12.10
Grounded Theory
12.11
Practice
12.12
4- Using Software for Data Analysis
12.13
Introduction to Statistical Software
12.14
Practice
12.15
Introduction to Qualitative Analysis Software
12.16
Practice
12.17
Rest
Validity and Reliability
6
13.0
1- What is Validity?
13.1
Types of Validity
13.2
What is Reliability?
13.3
Types of Reliability
13.4
Ensuring Validity and Reliability in Research
13.5
Practices
Writing the Research Report
20
14.0
1- Introduction to Research Writing
14.1
Purpose and Structure of a Research Report
14.2
Writing an Abstract
14.3
2- Structure of a Research Report
14.4
Introduction and Background
14.5
Literature Review
14.6
Methodology
14.7
Results and Discussion
14.8
Conclusion and Recommendations
14.9
Practices
14.10
More Practices
14.11
3- Editing and Proofreading
14.12
Common Mistakes in Academic Writing
14.13
Techniques for Editing and Refining Your Research Paper
14.14
4- Referencing and Plagiarism
14.15
Importance of Proper Referencing
14.16
How to Avoid Plagiarism Using Citation Tools
14.17
Citation
14.18
Practices
14.19
Rest
Ethical Considerations in Research
4
15.0
Research Ethics Overview
15.1
Key Ethical Principles
15.2
Ethical Approval Processes
15.3
Research Methodology
40 Minutes
10 Questions
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