Deevy Bishop - ViDoe

2.7 Increasing number of observations to improve test-retest reliability

10:21

2.7 Increasing number of observations to improve test-retest reliability

1.4 The Garden of Forking Paths

11:00

1.4 The Garden of Forking Paths

1.3 P-hacking explained

7:13

1.3 P-hacking explained

2.2 How N and effect size affect p-value distribution

7:17

2.2 How N and effect size affect p-value distribution

2.3 More on effect sizes, and a demonstration using simstudy package

13:38

2.3 More on effect sizes, and a demonstration using simstudy package

1.8 Simulating correlated variables

14:49

1.8 Simulating correlated variables

1.6 Walking through the R script

17:46

1.6 Walking through the R script

1.5 Simulating data in R

12:39

1.5 Simulating data in R

1.1 Introduction to basic idea of simulation using Excel

18:48

1.1 Introduction to basic idea of simulation using Excel

2.6 Increasing number of observations to enhance power

12:05

2.6 Increasing number of observations to enhance power

2.4 Confronting the problem of low power

8:28

2.4 Confronting the problem of low power

2.5 Comparing power of between vs within-subjects design using faux package

19:38

2.5 Comparing power of between vs within-subjects design using faux package

1.7 Repeatedly run a simulation in a loop

7:49

1.7 Repeatedly run a simulation in a loop

2.1 Impact of sample size on estimates of mean

8:31

2.1 Impact of sample size on estimates of mean

1.2 Doing a t-test on simulated data (Excel)

9:37

1.2 Doing a t-test on simulated data (Excel)

1.9 Overview; different kinds of p-hacking. Different simulation packages. Registered reports.

13:46

1.9 Overview; different kinds of p-hacking. Different simulation packages. Registered reports.

Why you shouldn't use grant income to evaluate academics

9:25

Why you shouldn't use grant income to evaluate academics