Acerca de este Curso

8,392 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
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)

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 ReproducibilityMeta-AnalysisExperimental DesignStatistical InferencesPhilosophy of Science
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
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)

ofrecido por

Placeholder

Universidad Técnica de Eindhoven

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

2 horas para completar

Module 1: Improving Your Statistical Questions

2 horas para completar
3 videos (Total 40 minutos), 2 lecturas, 3 cuestionarios
3 videos
Lecture 1.2: Do You Really Want to Test a Hypothesis?15m
Lecture 1.3: Risky Predictions12m
2 lecturas
Download Course Materials and Course Structure (Must Read)10m
Assignment 1.1: Testing Range Predictions30m
3 ejercicios de práctica
Consent Form for Use of Data10m
Welcome: Short Survey5m
Answer Form Assignment 1.1: Testing Range Predictions2m
Semana
2

Semana 2

4 horas para completar

Module 2: Falsifying Predictions

4 horas para completar
3 videos (Total 46 minutos), 3 lecturas, 3 cuestionarios
3 videos
Lecture 2.2: Setting the Smallest Effect Size Of Interest14m
Lecture 2.3: Falsifying Predictions in Practice15m
3 lecturas
Assignment 2.1: The Small Telescopes Approach to Setting a SESOI30m
Assignment 2.2: Setting the SESOI Based on Resources30m
Assignment 2.3: Equivalence Testing30m
3 ejercicios de práctica
Answer Form Assignment 2.1: The Small Telescopes Approach to Setting a SESOI30m
Answer Form Assignment 2.2: Setting the SESOI Based on Resources30m
Answer Form Assignment 2.3: Equivalence Testing30m
Semana
3

Semana 3

3 horas para completar

Module 3: Designing Informative Studies

3 horas para completar
3 videos (Total 48 minutos), 2 lecturas, 2 cuestionarios
3 videos
Lecture 3.2: Power Analysis12m
Lecture 3.3: Simulation15m
2 lecturas
Assignment 3.1: Confidence Intervals for Standard Deviations30m
Assignment 3.2: Power Analysis for ANOVA Designs1h
2 ejercicios de práctica
Answer Form Assignment 3.1: Confidence Intervals for Standard Deviations30m
Answer Form Assignment 3.2: Power Analysis for ANOVA Designs30m
Semana
4

Semana 4

4 horas para completar

Module 4: Meta-Analysis and Bias Detection

4 horas para completar
3 videos (Total 48 minutos), 4 lecturas, 3 cuestionarios
3 videos
Lecture 4.2: Intro to Meta-Analysis17m
Lecture 4.3: Bias Detection15m
4 lecturas
Assignment 4.1: Likelihood of Significant Findings30m
Assignment 4.2: Introduction to Meta-Analysis30m
Assignment 4.3: Detecting Publication Bias45m
Assignment 4.4: Checking Your Stats10m
3 ejercicios de práctica
Answer Form Assignment 4.1: Likelihood of Significant Findings30m
Answer Form Assignment 4.2: Introduction to Meta-Analysis30m
Answer Form Assignment 4.3: Detecting Publication Bias30m

Reseñas

Principales reseñas sobre IMPROVING YOUR STATISTICAL QUESTIONS

Ver todas las reseñas

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.