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Research Methodology: Complete Research Project Blueprint by Udemy
Research Methodology From A-Z. A Step-by-Step Guide Through Research Design, Data Collection, Analysis, & Interpretation
Course Highlights
- FORMULATE an intriguing but feasible research question.
- DESIGN a criticism-proof study that minimizes alternative interpretations of your results.
- MEASURE using the most suitable techniques to maximize reliability and validity.
- COLLECT DATA while minimizing bias and using the right sample size.
- ANALYZE your data correctly using free and easy-to-use software even if you have zero knowledge of statistics.
- DRAW compelling conclusions that you can feel confident about.
Skills you will learn!
Curriculum
7 Topics
What You Will Learn In This Course
The First Step
How to Make Your Research Project Successful
The Three Elements of an Intriguing Research Question
How to Formulate an Intriguing Research Question
The Four Elements of Compelling Research Methodology
Which Methodology to Use? Qualitative vs Quantitative
4 Topics
A Simple Template For Your Research Question
Define The Variables in Your Research Question
PRACTICE: Specifying Your Research Question and Variables
Research Questions - Test Your Understanding!
17 Topics
How Your Research Design Affects the Interpretation of Your Findings
Inferring Causation - Avoid This Common Mistake!
Sneaky mistakes that happen when inferring causation
The Most Effective Way to Rule out Alternative Explanations
Types of Research Designs
How to Avoid Unnecessary Complexity in Your Research Design
Why You Need to Randomize And How to Do It Correctly
Experimental and Non-Experimental Designs - Which One Should You Choose?
PRACTICE: Experimental And Non-experimental Designs
Practice Materials: Experimental And Non-experimental Designs
Fill the Holes: Confounders in Research Designs
Typical Confounders - Check These to Ensure That Your Design is Criticism-proof
Download the CONFOUNDER CHECKLIST
How to Design Successful NON-Experimental Studies
Putting it together - How to Choose The Right Design?
SUMMARY: Everything You Need to Know about Research Designs
Research Design - Test Your Understanding!
9 Topics
How to Make Your Variables Measurable
The Two Aspects of an Effective Measurement
A Simple Trick To Boost The Reliability of Your Measurements
Self-report: What is it and How Should you Use it?
Other Measurement Types And Their Advantages/ Distadvantages
Which Measurement Type Should you Pick?
What to Do If Your Variables Cannot Be Measured Accurately (Simple Hack)
SUMMARY: Everything You Need to Know About Measuring
Measurements - Test Your Understanding!
4 Topics
The Three Elements of Good Data Collection
Data Collection Strategies - And When To Use Them!
Sample size - How Many Participants Do You Need?
Data Collection - Test Your Understanding!
26 Topics
The Three Steps in Data Analysis
A Link to Free And Easy-to-use Software for Data Analysis
Download The Practice Data Sets For This Course
How to Spot Relationships Between Numerical Variables
How to Spot Relationships Between Numerical Variables (Part 2)
TUTORIAL: Spot Relationships Between Numerical Variables (Correlations)
How to Spot Relationships Between a Categorical IV and Numerical DV (Between)
TUTORIAL: Spot Relationships Between a Categorical IV and Numerical DV (Between)
How to Spot Relationships Between a Categorical IV and Numerical DV (Within)
TUTORIAL: Spot Relationships Between a Categorical IV and Numerical DV (Within)
How to Spot Relationships Between a Categorical IV and Numerical DV (Mixed)
TUTORIAL: Spot Relationships Between a Categorical IV and Numerical DV (Mixed)
How to Spot Relationships Between a Numerical IV and Categorical DV
TUTORIAL: Spot Relationships Between a Numerical IV and Categorical DV
How to Spot Relationships Between a Categorical IV and Categorical DV
TUTORIAL: Spot Relationships Between a Categorical IV and Categorical DV
Data Preparation STEP 1: Import and Format Your Data
TUTORIAL: Importing and Formatting for Between-subject Designs
A Link to Free Software for Data Preparation
TUTORIAL: Importing and Formatting for Within-subject Designs
Data Preparation STEP 2: How to Deal With Missing Values
TUTORIAL: How to Deal With Missing Values
Data Preparation STEP 3: Handle Outliers (Tricky!)
TUTORIAL: How to Handle Outliers
SUMMARY: Everything You Need to Know About Finding Patterns in Your Data
Descriptive Statistics - Test Your Understanding!
22 Topics
Generalizing From Sample to Population
The Two Principles Behind Generalizing From Single Variables (Principle 1)
The Two Principles Behind Generalizing From Single Variables (Principle 2)
The Three Principles Behind Generalizing Relationships Between Variables
The One Number You Need to Generalize Your Findings
How to Use Inferential Statistics (Step-by-step)
Download The Decision Chart For Statistical Tests
Generalizing a Correlation
TUTORIAL: Generalizing a Correlation
Generalizing a Mean Difference Between Groups (ANOVA)
TUTORIAL: Generalizing a Mean Difference Between Groups (ANOVA)
Generalizing a Mean Difference Between Moments in Time (RM ANOVA)
TUTORIAL: Generalizing a Mean Difference Between Moments in Time (RM ANOVA)
Generalizing From a Mixed Design (RM ANOVA)
TUTORIAL: Generalizing From a Mixed Design (RM ANOVA)
Generalizing a Continuous Effect on Probabilities (Logistic Regression)
TUTORIAL Generalizing a Continuous Effect on Probabilities (Logistic Regression)
Generalizing a Difference Between Probabilities (Chi Square Test)
TUTORIAL: Generalizing a Difference Between Probabilities (Chi Square Test)
Avoid Mistakes! Two Common Mistakes and How to Prevent Them
SUMMARY: Everything You Need to Know about Generalizing to the Population
Inferential Statistics - Test Your Understanding
17 Topics
The Two Types of Statistical Errors
Two Ways to Minimize Statistical Errors
How to Determine The Right Sample Size (Power Analysis)
Free Software For Sample Size Calculation
TUTORIAL: Sample Size Calculation For Correlations
TUTORIAL: Sample Size Calculation For an ANOVA (Between-subject)
TUTORIAL: Sample Size Calculation For an RM ANOVA (within-subject)
TUTORIAL: Sample Size Calculation For an RM ANOVA (mixed)
TUTORIAL: Sample Size Calculation For Logistic Regression
TUTORIAL: Sample Size Calculation For Chi Square Tests
Boost Your Power Through Strong Manipulations
Boost Your Power Through Measurement Reliability
How to Test The Reliability of Your Measurements
TUTORIAL: How to Test And Improve The Reliability of Your Measurments
How to Test the Validity of Your Measurements
SUMMARY: Everything You Need to Know About Sample Size and Statistical Power
Sample Size And Statistical Power - Test Your Understanding
3 Topics
Essential Parts That You Do Not Want to Miss in Any Research Study
Recruiting: How to Find Participants
Incentives: How to Motivate People to Participate In Your Study
9 Topics
The Four Steps When Interpreting Findings
CASE STUDY 1: Interpret Results in an Experimental Design
CASE STUDY 2: Interpret Results in a Quasi-Experimental Design
CASE STUDY 3: Interpret Results in a Non-Experimental Design
CASE STUDY 4: Interpret an AB Test (Business Case)
CASE STUDY 5: Interpret a Nullresult
How to Fix Methodological Problems Even After Your Study is Already Conducted
SUMMARY: Everything You Need to Know About Interpreting Findings
Interpreting Findings - Test Your Understanding!
4 Topics
FULL RESEARCH CHECKLIST
Conclusion And Next Steps
Is there more I can do to help you?
Bonus Section
Research Methodology: Complete Research Project Blueprint
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