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Improving Your Statistical Questions
  • Level Professional
  • Duration 18 hours
  • Course by Eindhoven University of Technology
  • Offered by

About

This course aims to help you to ask better statistical questions when performing empirical research. We will discuss how to design informative studies, both when your predictions are correct, as when your predictions are wrong. We will question norms, and reflect on how we can improve research practices to ask more interesting questions. In practical hands on assignments you will learn techniques and tools that can be immediately implemented in your own research, such as thinking about the smallest effect size you are interested in, justifying your sample size, evaluate findings in the literature while keeping publication bias into account, performing a meta-analysis, and making your analyses computationally reproducible. If you have the time, it is recommended that you complete my course 'Improving Your Statistical Inferences' before enrolling in this course, although this course is completely self-contained.

Modules

Course Introduction (Read before Starting)

    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Consent Form for Use of Data
  • Welcome: Short Survey

1 Readings

  • Download Course Materials and Course Structure (Must Read)

Lecture 1.1: Improving Your Statistical Questions

    • 1 Videos
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1 Videos

  • Lecture 1.1: Improving Your Statistical Questions

Lecture 1.2: Do You Really Want to Test a Hypothesis?

    • 1 Videos
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1 Videos

  • Lecture 1.2: Do You Really Want to Test a Hypothesis?

Lecture 1.3: Risky Predictions

    • 1 Videos
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1 Videos

  • Lecture 1.3: Risky Predictions

Assignment 1.1: Testing Range Predictions

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 1.1: Testing Range Predictions

1 Readings

  • Assignment 1.1: Testing Range Predictions

Lecture 2.1: Falsifying predictions in theory

    • 1 Videos
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1 Videos

  • Lecture 2.1: Falsifying Predictions in Theory

Lecture 2.2: Setting the Smallest Effect Size Of Interest

    • 1 Videos
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1 Videos

  • Lecture 2.2: Setting the Smallest Effect Size Of Interest

Assignment 2.1: The Small Telescopes Approach to Setting a SESOI

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 2.1: The Small Telescopes Approach to Setting a SESOI

1 Readings

  • Assignment 2.1: The Small Telescopes Approach to Setting a SESOI

Assignment 2.2: Setting the SESOI Based on Resources

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 2.2: Setting the SESOI Based on Resources

1 Readings

  • Assignment 2.2: Setting the SESOI Based on Resources

Lecture 2.3: Falsifying Predictions in Practice

    • 1 Videos
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1 Videos

  • Lecture 2.3: Falsifying Predictions in Practice

Assignment 2.3: Equivalence Testing

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 2.3: Equivalence Testing

1 Readings

  • Assignment 2.3: Equivalence Testing

Lecture 3.1: Justifying Error Rates

    • 1 Videos
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1 Videos

  • Lecture 3.1: Justifying Error Rates

Assignment 3.1: Confidence Intervals for Standard Deviations

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 3.1: Confidence Intervals for Standard Deviations

1 Readings

  • Assignment 3.1: Confidence Intervals for Standard Deviations

Lecture 3.2: Power Analysis

    • 1 Videos
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1 Videos

  • Lecture 3.2: Power Analysis

Assignment 3.2: Power Analysis for ANOVA Designs

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 3.2: Power Analysis for ANOVA Designs

1 Readings

  • Assignment 3.2: Power Analysis for ANOVA Designs

Lecture 3.3: Simulation

    • 1 Videos
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1 Videos

  • Lecture 3.3: Simulation

Lecture 4.1: Mixed Results

    • 1 Videos
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1 Videos

  • Lecture 4.1: Mixed Results

Assignment 4.1: Likelihood of Significant Findings

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 4.1: Likelihood of Significant Findings

1 Readings

  • Assignment 4.1: Likelihood of Significant Findings

Lecture 4.2: Intro to Meta-Analysis

    • 1 Videos
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1 Videos

  • Lecture 4.2: Intro to Meta-Analysis

Assignment 4.2: Introduction to Meta-Analysis

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 4.2: Introduction to Meta-Analysis

1 Readings

  • Assignment 4.2: Introduction to Meta-Analysis

Lecture 4.3: Bias Detection

    • 1 Videos
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1 Videos

  • Lecture 4.3: Bias Detection

Assignment 4.3: Detecting Publication Bias

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Answer Form Assignment 4.3: Detecting Publication Bias

1 Readings

  • Assignment 4.3: Detecting Publication Bias

Assignment 4.4: Checking Your Stats

    • 1 Readings
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1 Readings

  • Assignment 4.4: Checking Your Stats

Lecture 5.1: Computational Reproducibility

    • 1 Videos
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1 Videos

  • Lecture 5.1: Computational Reproducibility

Assignment 5.1: Computational Reproducibility

    • 1 Readings
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1 Readings

  • Assignment 5.1: Computational Reproducibility

Lecture 5.2: Philosophy of Science in Practice

    • 1 Videos
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1 Videos

  • Lecture 5.2: Philosophy of Science in Practice

Assignment 5.2: Does Your Philosophy of Science Matter in Practice?

    • 1 Readings
    • 1 Plugin
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1 Readings

  • Assignment 5.2: Does Your Philosophy of Science Matter in Practice?

Lecture 5.3: Scientific Integrity in Practice

    • 1 Videos
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1 Videos

  • Lecture 5.3: Scientific Integrity in Practice

Assignment 5.3: Applied Research Ethics

    • 1 Plugin
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Final Exam

    • 1 Assignment
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1 Assignment

  • Graded Final Exam

Auto Summary

Enhance your empirical research with "Improving Your Statistical Questions," a professional-level course by Coursera. Dive into designing informative studies, questioning norms, and refining research practices. Gain hands-on experience with techniques like effect size consideration, sample size justification, literature evaluation, meta-analysis, and computational reproducibility. Recommended for those who have completed "Improving Your Statistical Inferences," this 1080-minute course offers Starter and Professional subscription options, ideal for researchers looking to elevate their statistical questioning skills.

Daniel Lakens
Instructor

Daniel Lakens