Acerca de este Curso

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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. 15 horas para completar

Sugerido: 5 weeks of study, 2 - 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • Check

    Ask better questions in empirical research

  • Check

    Design more informative studies

  • Check

    Evaluate the scientific literature taking bias into account

  • Check

    Reflect on current norms, and how you can improve your research practices

Habilidades que obtendrás

Computational ReproducibilityMeta-AnalysisExperimental DesignStatistical InferencesPhilosophy of Science

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. 15 horas para completar

Sugerido: 5 weeks of study, 2 - 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

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

3 horas para completar

Module 2: Falsifying Predictions

3 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 SESOI8m
Answer Form Assignment 2.2: Setting the SESOI Based on Resources10m
Answer Form Assignment 2.3: Equivalence Testing18m
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 Deviations12m
Answer Form Assignment 3.2: Power Analysis for ANOVA Designs20m
Semana
4

Semana 4

3 horas para completar

Module 4: Meta-Analysis and Bias Detection

3 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 Findings14m
Answer Form Assignment 4.2: Introduction to Meta-Analysis4m
Answer Form Assignment 4.3: Detecting Publication Bias14m
4.9

10 revisiones

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Principales revisiones sobre Improving Your Statistical Questions

por SSJan 3rd 2020

Excellent! Would like only one addition, and that's a more extensive exercise on simulating data with general linear models

por SWJan 1st 2020

Cracking - very informative, nice mixture of modes of learning, and engaging

Instructor

Imagen del instructor, Daniel Lakens

Daniel Lakens

Associate Professor
Department of Human-Technology Interaction

Acerca de Universidad Técnica de Eindhoven

Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956, and has around 8,500 students and 3,000 staff. TU/e has defined strategic areas focusing on the societal challenges in Energy, Health and Smart Mobility. The Brainport Eindhoven region is one of world’s smartest; it won the title Intelligent Community of the Year 2011....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

  • The course assumes basic knowledge about statistical inferences (t-tests, ANOVA) and some knowledge of designing research studies. The course is for intermediate level. Coursera offers basic introductions to statistics (which this course is not), and my previous MOOC 'Improving Your Statistical Inferences' might be a better starting point if you lack training in statistics. You do not need knowledge programming in R - we will use it as a fancy calculator by changing code (but not programming).

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