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.
ofrecido por
Improving Your Statistical Questions
Universidad Técnica de EindhovenAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
A basic knowledge of statistics and research methods is necessary. My previous MOOC 'Improving Your Statistical Inferences' is recommended.
Aprox. 18 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Ask better questions in empirical research
Design more informative studies
Evaluate the scientific literature taking bias into account
Reflect on current norms, and how you can improve your research practices
Habilidades que obtendrás
- Computational Reproducibility
- Meta-Analysis
- Experimental Design
- Statistical Inferences
- Philosophy of Science
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
A basic knowledge of statistics and research methods is necessary. My previous MOOC 'Improving Your Statistical Inferences' is recommended.
Aprox. 18 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad Técnica de Eindhoven
Eindhoven University of Technology (TU/e) is a young university, founded in 1956 by industry, local government and academia. Today, their spirit of collaboration is still at the heart of the university community. We foster an open culture where everyone feels free to exchange ideas and take initiatives.
Programa - Qué aprenderás en este curso
2 horas para completar
Module 1: Improving Your Statistical Questions
One of the biggest improvements most researchers can make is to more clearly specify their statistical questions. When you perform a study, what is it you really want to know?
2 horas para completar
3 videos (Total 40 minutos), 2 lecturas, 3 cuestionarios
4 horas para completar
Module 2: Falsifying Predictions
There is little use in making predictions if you can never be wrong - so how do we make sure your predictions are falsifiable? We discuss why falsifiable predictions are important, and how to make your predictions falsifiable in practice. One important aspect of making predictions falsifiable is to specify a range of values that is not predicted, and we will examine different approaches to specifying a smallest effect size of interest.
4 horas para completar
3 videos (Total 46 minutos), 3 lecturas, 3 cuestionarios
3 horas para completar
Module 3: Designing Informative Studies
If studies are designed to answer a question, you should make sure the answer you will get after collecting data is informative. Instead of mindlessly setting Type 1 and Type 2 error rates, we will learn why it is important to be able to justify error rates, and some approaches how to do so. We discuss the benefits of using your smallest effect size of interest in power analyses, and why learning to simulate data is a useful tool. Simulations can help you to improve your understanding of statistics, enable you to design informative studies, and even ask novel questions.
3 horas para completar
3 videos (Total 48 minutos), 2 lecturas, 2 cuestionarios
4 horas para completar
Module 4: Meta-Analysis and Bias Detection
Regrettably we work in a scientific enterprise where the published literature does not reflect real research. Publication bias and selection biases lead to a scientific literature that can’t be interpreted without taking these biases into account. We will discuss what real research lines look like, and how to meta-analytically evaluate the literature while keeping bias in mind.
4 horas para completar
3 videos (Total 48 minutos), 4 lecturas, 3 cuestionarios
Reseñas
- 5 stars89,58 %
- 4 stars8,33 %
- 3 stars2,08 %
Principales reseñas sobre IMPROVING YOUR STATISTICAL QUESTIONS
por SW31 de dic. de 2019
Cracking - very informative, nice mixture of modes of learning, and engaging
por TL6 de mar. de 2022
Great course! Was a pleasure to take it. Thanks, Professor Lakens!
por LP30 de oct. de 2019
Daniel's second course as good as the first. He does a nice job!!
por SS2 de ene. de 2020
Excellent! Would like only one addition, and that's a more extensive exercise on simulating data with general linear models
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
¿Hay ayuda económica disponible?
Which previous knowledge is required?
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