Research Methodology: Complete Research Project Blueprint
- Description
- Curriculum
- FAQ
- Reviews
There is a lot to think about as a researcher.
What design? How to Measure? How to Analyze?
This course will guide you through your entire research project: from formulating an intriguing research question all the way to drawing compelling conclusions.
What will you be able to DO after this course?
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FORMULATE an intriguing but feasible research question.
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DESIGN a criticism-proof study that minimizes alternative interpretations of your results.
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MEASURE using the most suitable techniques to maximize reliability and validity.
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COLLECT DATA while minimizing bias and using the right sample size.
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ANALYZE your data correctly using free and easy-to-use software even if you have zero knowledge of statistics.
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DRAW compelling conclusions that you can feel confident about and that you can defend against criticism.
What TOOLS will you receive?
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FULL RESEARCH CHECKLIST to ensure that your research is complete and criticism-proof.
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CONFOUNDER CHECKLIST to address all holes in your research design.
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DATA ANALYSIS DECISION CHART to easily select the correct data analysis technique.
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Links to free and easy-to-use SOFTWARE for data analysis and sample size calculation.
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QUIZZES to solidify and deepen your understanding of each section.
In short, you will get everything you need to complete your research and make it successful.
Many people feel lost when they think about research methodology for the first time.
I was no exception: I felt like I was blindly stumbling through a forest during my first project.
However, I have learned that research does not need to be complicated.
In fact, research can be very simple if you know what steps to follow and how to avoid unnecessary complexity.
Even high-impact research often uses simple methods that can be mastered by anyone.
So, in this course, I want to give you a complete blueprint that guides you through your entire research project.
You will learn what to do, how to do it, and how to keep your research simple yet effective.
So what will you learn exactly?
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The Three Elements of an Intriguing Research Question.
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How to Formulate an Intriguing Research Question.
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A Simple Template For Your Research Question.
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How to Define The Variables in Your Research Question.
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The Four Elements of Strong Methodology.
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Which Methodology to Use? Qualitative vs Quantitative.
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How Your Research Design Affects the Interpretation of Your Findings.
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Inferring Causation – How to Avoid This Common Mistake!
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The Most Effective Way to Rule out Alternative Explanations.
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Types of Research Designs.
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How to Avoid Unnecessary Complexity in Your Research Design.
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Why You Need to Randomize (And How).
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Experimental And Non-experimental Designs.
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Confounders in Research Designs.
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How to Design Successful Non-Experimental Studies.
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How to Make Your Variables Measurable.
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The Two Elements of an Effective Measurement.
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A Simple Trick To Boost The Reliability of Your Measurements.
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Types of Measurements – Which One is Right for You?
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What to Do If Your Variables Cannot Be Measured Accurately (Simple Hack).
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The Three Elements of Good Data Collection.
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Data Collection Strategies And When To Use Which.
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Sample size – How Many Participants Do You Need?
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The Three Steps of Data Analysis.
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Master Free And Easy-to-use Software for Data Analysis (JASP).
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Data Preparation STEP 1: Import and Format Your Data.
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Data Preparation STEP 2: Deal With Missing Values.
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Data Preparation STEP 3: Handle Outliers (Tricky).
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How to Analyze Data with a Numerical IV and Numerical DV (Step-by-step).
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How to Analyze Data with a Categorical IV and Numerical DV (Step-by-step).
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How to Analyze Data with a Numerical IV and Categorical DV (Step-by-step).
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How to Analyze Data with a Categorical IV and Categorical DV (Step-by-step).
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How to Generalize to a Population.
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The Three Principles Behind Every Statistical Test.
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The One Number You Need to Generalize Your Findings.
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How to Use Inferential Statistics (Step-by-step).
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Generalizing a Correlation.
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Generalizing a Difference Between Groups (ANOVA).
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Generalizing a Difference Between Moments in Time (RM ANOVA).
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Generalizing in a Mixed Design (RM ANOVA).
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Generalizing a Continuous Effect on Probabilities (Logistic Regression).
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Generalizing a Difference Between Probabilities (Chi Square Test).
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Avoid Mistakes! Two Common Mistakes and How to Prevent Them.
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The Two Types of Statistical Errors – And How to Minimize Them.
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How to Select The Right Sample Size (Power Analysis).
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Master Free and Easy-to-use Software For Sample Size Calculation (G*Power).
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Sample Size Calculation For Correlations.
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Sample Size Calculation For ANOVAs.
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Sample Size Calculation For Logistic Regression.
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Sample Size Calculation For Chi Square Tests.
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Three Simple Strategies to Maximize Your Statistical Power.
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How to Test the Reliability of Your Measurements.
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How to Test the Validity of Your Measurements.
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Conducting Your Research: Essential Parts That You Do Not Want to Miss in Any Research Study.
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Recruiting: How To Find Participants.
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Incentives: How To Motivate People to Participate.
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The Four Steps of Interpreting Findings.
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How to Interpret Results in an Experimental Design.
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How to Interpret Results in a Quasi-Experiment.
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How to Interpret Results in a Non-Experimental Design (Categorical IV).
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How to Interpret Results in a Non-Experimental Design (Numerical IV).
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How to Interpret Results in a Non-Experimental Design (Categorical IV and DV).
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How to Interpret a Null-result.
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How to Fix Methodological Problems Even After Your Study is Already Conducted.
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And more!
In short, you will learn specifically why, what, when, where, and how to perform research.
Let me add that I want you to be truly happy with this course.
I used to be in your shoes and I want to give you the best possible course to help you succeed.
If this course does not deliver on every promise (and then some) you can get a full refund.
So go ahead and give this course a test drive.
You can take the whole course, enjoy all of its benefits, and still get your money back if you are not satisfied.
After you click on the red button, the lectures will guide you through the research process.
You will also receive tools such as checklists, decision charts, and free software to make your work easier.
In addition, you can ask me questions anytime and can have my full support on every step of the way.
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1What You Will Learn In This CourseVideo lesson
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2The First StepText lesson
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3How to Make Your Research Project SuccessfulVideo lesson
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4The Three Elements of an Intriguing Research QuestionVideo lesson
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5How to Formulate an Intriguing Research QuestionVideo lesson
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6The Four Elements of Compelling Research MethodologyVideo lesson
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7Which Methodology to Use? Qualitative vs QuantitativeVideo lesson
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12How Your Research Design Affects the Interpretation of Your FindingsVideo lesson
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13Inferring Causation - Avoid This Common Mistake!Video lesson
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14Sneaky mistakes that happen when inferring causationText lesson
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15The Most Effective Way to Rule out Alternative ExplanationsVideo lesson
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16Types of Research DesignsVideo lesson
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17How to Avoid Unnecessary Complexity in Your Research DesignVideo lesson
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18Why You Need to Randomize And How to Do It CorrectlyVideo lesson
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19Experimental and Non-Experimental Designs - Which One Should You Choose?Video lesson
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20PRACTICE: Experimental And Non-experimental DesignsVideo lesson
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21Practice Materials: Experimental And Non-experimental DesignsText lesson
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22Fill the Holes: Confounders in Research DesignsVideo lesson
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23Typical Confounders - Check These to Ensure That Your Design is Criticism-proofVideo lesson
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24Download the CONFOUNDER CHECKLISTText lesson
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25How to Design Successful NON-Experimental StudiesVideo lesson
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26Putting it together - How to Choose The Right Design?Video lesson
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27SUMMARY: Everything You Need to Know about Research DesignsVideo lesson
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28Research Design - Test Your Understanding!Quiz
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29How to Make Your Variables MeasurableVideo lesson
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30The Two Aspects of an Effective MeasurementVideo lesson
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31A Simple Trick To Boost The Reliability of Your MeasurementsVideo lesson
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32Self-report: What is it and How Should you Use it?Video lesson
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33Other Measurement Types And Their Advantages/ DistadvantagesVideo lesson
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34Which Measurement Type Should you Pick?Video lesson
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35What to Do If Your Variables Cannot Be Measured Accurately (Simple Hack)Video lesson
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36SUMMARY: Everything You Need to Know About MeasuringVideo lesson
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37Measurements - Test Your Understanding!Quiz
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42The Three Steps in Data AnalysisVideo lesson
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43A Link to Free And Easy-to-use Software for Data AnalysisText lesson
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44Download The Practice Data Sets For This CourseText lesson
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45How to Spot Relationships Between Numerical VariablesVideo lesson
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46How to Spot Relationships Between Numerical Variables (Part 2)Video lesson
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47TUTORIAL: Spot Relationships Between Numerical Variables (Correlations)Video lesson
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48How to Spot Relationships Between a Categorical IV and Numerical DV (Between)Video lesson
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49TUTORIAL: Spot Relationships Between a Categorical IV and Numerical DV (Between)Video lesson
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50How to Spot Relationships Between a Categorical IV and Numerical DV (Within)Video lesson
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51TUTORIAL: Spot Relationships Between a Categorical IV and Numerical DV (Within)Video lesson
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52How to Spot Relationships Between a Categorical IV and Numerical DV (Mixed)Video lesson
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53TUTORIAL: Spot Relationships Between a Categorical IV and Numerical DV (Mixed)Video lesson
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54How to Spot Relationships Between a Numerical IV and Categorical DVVideo lesson
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55TUTORIAL: Spot Relationships Between a Numerical IV and Categorical DVVideo lesson
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56How to Spot Relationships Between a Categorical IV and Categorical DVVideo lesson
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57TUTORIAL: Spot Relationships Between a Categorical IV and Categorical DVVideo lesson
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58Data Preparation STEP 1: Import and Format Your DataVideo lesson
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59TUTORIAL: Importing and Formatting for Between-subject DesignsVideo lesson
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60A Link to Free Software for Data PreparationText lesson
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61TUTORIAL: Importing and Formatting for Within-subject DesignsVideo lesson
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62Data Preparation STEP 2: How to Deal With Missing ValuesVideo lesson
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63TUTORIAL: How to Deal With Missing ValuesVideo lesson
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64Data Preparation STEP 3: Handle Outliers (Tricky!)Video lesson
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65TUTORIAL: How to Handle OutliersVideo lesson
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66SUMMARY: Everything You Need to Know About Finding Patterns in Your DataVideo lesson
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67Descriptive Statistics - Test Your Understanding!Quiz
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68Generalizing From Sample to PopulationVideo lesson
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69The Two Principles Behind Generalizing From Single Variables (Principle 1)Video lesson
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70The Two Principles Behind Generalizing From Single Variables (Principle 2)Video lesson
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71The Three Principles Behind Generalizing Relationships Between VariablesVideo lesson
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72The One Number You Need to Generalize Your FindingsVideo lesson
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73How to Use Inferential Statistics (Step-by-step)Video lesson
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74Download The Decision Chart For Statistical TestsText lesson
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75Generalizing a CorrelationVideo lesson
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76TUTORIAL: Generalizing a CorrelationVideo lesson
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77Generalizing a Mean Difference Between Groups (ANOVA)Video lesson
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78TUTORIAL: Generalizing a Mean Difference Between Groups (ANOVA)Video lesson
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79Generalizing a Mean Difference Between Moments in Time (RM ANOVA)Video lesson
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80TUTORIAL: Generalizing a Mean Difference Between Moments in Time (RM ANOVA)Video lesson
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81Generalizing From a Mixed Design (RM ANOVA)Video lesson
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82TUTORIAL: Generalizing From a Mixed Design (RM ANOVA)Video lesson
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83Generalizing a Continuous Effect on Probabilities (Logistic Regression)Video lesson
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84TUTORIAL Generalizing a Continuous Effect on Probabilities (Logistic Regression)Video lesson
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85Generalizing a Difference Between Probabilities (Chi Square Test)Video lesson
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86TUTORIAL: Generalizing a Difference Between Probabilities (Chi Square Test)Video lesson
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87Avoid Mistakes! Two Common Mistakes and How to Prevent ThemVideo lesson
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88SUMMARY: Everything You Need to Know about Generalizing to the PopulationVideo lesson
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89Inferential Statistics - Test Your UnderstandingQuiz