Planning and Progress Dashboard

Power

Analysis type:

Std. Mean difference (d):

small = .2, med = .5, large = .8

Type:

Independent samples

One sample

Paired samples

Tails:

Two tailed

Upper

Number of Groups:

Effect size (Cohen's f):

small = .1 ,med = .25, large = .4

Correlation coefficient (r):

small = .1, med = .3, large = .5

Tails:

Two-tailed

one-tailed

Number of Parameters / predictors:

Variance explained:

Proportion group 1:

Proportion group 2:

Target Power:

Alpha (Type I error rate):

Sampling Rate

Target Sample size

Start date:

Solve for:

Sampling Rate

Completion Date

Target completion date:

Participants / Obs. per week:

Power

Sampling Rate

Start date:

Target completion date:

Target Sample size

Current Sample size

Power

Solve for:

Power to detect

Smallest Effect

Analysis type:

Std. Mean difference (d):

small = .2, med = .5, large = .8

Type:

Independent samples

One sample

Paired samples

Tails:

Two tailed

Upper

Number of Groups:

Effect size (Cohen's f):

small = .1 ,med = .25, large = .4

Correlation coefficient (r):

small = .1, med = .3, large = .5

Number of Parameters / predictors:

Variance explained:

Proportion group 1:

Proportion group 2:

Target Power:

Alpha (Type I error rate):

Sampling Rate

Power

This was built by Mathew Ling (@lingtax) to promote better planned research.

It is powered by R and the pwr and ggplot2 packages, and is built in Shiny .

Cohen's f is the standard deviation of the population means divided by their common standard deviation. For equal population sizes, f is equal to the square root of Eta squared divided by one minus eta squared.

For bug reports and feature requests, please raise an issue at this github repository