Explain the four factors that determine statistical power.
What will be an ideal response?
There are four factors that determine statistical power:
(1) the effect size to be detected,
(2) the alpha level threshold for statistical significance,
(3) the sample size, and
(4) the statistical significance test used. The effect size to be detected in the context of impact evaluation is the MDES that has been identified to represent the threshold effect size for practical significance, so that is a given as a component of the statistical power function. The alpha level is set by the evaluator, by convention usually .05, and is, thus, also a given.The sample size factor is fairly straightforward—larger samples increase the statistical power to detect an effect. Planning for the best statistical testing approach is not so straightforward. The most important consideration involves the use of baseline covariates in the statistical model applied in the analysis.
You might also like to view...
The most common type of sampling procedure used by psychologists at universities is simple sampling
Indicate whether the statement is true or false
In 2009, Iranians used computers and cell phones to mobilize against a rigged election. This is an example of __________
a. a successful non-violent coup d'état b. the impact of Edward Snowden's activities c. the limited political engagement of young people d. digital media's ability to undermine oppressive regimes
What makes a story "newsworthy"? Provide an example
What will be an ideal response?
A large company has two offices, with Office A housing 1300 employees and Office B having 700. Every year, there is a 20% chance that employees at Office A will need to transfer to work at Office B; likewise, there is a 10% chance that employees at Office B will need to transfer to Office A.
a. What will the respective office population sizes be in the next year? In two years? b. What will the equilibrium populations of the two offices eventually be?