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Improving Your Statistical Questions

Курс от Eindhoven University of Technology

Средний≈ 17.7 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Sample Size Determination Statistical Analysis Statistical Inference Simulations Statistical Methods Science and Research Research Design Computational Thinking Statistical Reporting General Science and Research Data Literacy Scientific Methods Research Research Methodologies Data Ethics Quantitative Research Data Synthesis

Программа курса

6 модулей · 42 учебных материалов

01Module 1: Improving Your Statistical Questions8 материалов

Course Introduction (Read before Starting)

Download Course Materials and Course Structure (Must Read)Чтение Consent Form for Use of DataЗадание Welcome: Short SurveyЗадание

Lecture 1.1: Improving Your Statistical Questions

Учитесь у экспертов

Daniel Lakens

Associate Professor

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Обучение на Coursera

≈ 17.7 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Improving Your Statistical Questions

О курсе

Навыки, которые вы освоите

Программа курса

Course Introduction (Read before Starting)

Lecture 1.1: Improving Your Statistical Questions

Учитесь у экспертов

Daniel Lakens

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

Lecture 1.3: Risky Predictions

Assignment 1.1: Testing Range Predictions

Lecture 2.1: Falsifying predictions in theory

Lecture 2.2: Setting the Smallest Effect Size Of Interest

Assignment 2.1: The Small Telescopes Approach to Setting a SESOI

Assignment 2.2: Setting the SESOI Based on Resources

Lecture 2.3: Falsifying Predictions in Practice

Assignment 2.3: Equivalence Testing

Lecture 3.1: Justifying Error Rates

Assignment 3.1: Confidence Intervals for Standard Deviations

Lecture 3.2: Power Analysis

Assignment 3.2: Power Analysis for ANOVA Designs

Lecture 3.3: Simulation

Lecture 4.1: Mixed Results

Assignment 4.1: Likelihood of Significant Findings

Lecture 4.2: Intro to Meta-Analysis

Assignment 4.2: Introduction to Meta-Analysis

Lecture 4.3: Bias Detection

Assignment 4.3: Detecting Publication Bias

Assignment 4.4: Checking Your Stats

Lecture 5.1: Computational Reproducibility

Assignment 5.1: Computational Reproducibility

Lecture 5.2: Philosophy of Science in Practice

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

Lecture 5.3: Scientific Integrity in Practice

Assignment 5.3: Applied Research Ethics

Final Exam