Showing posts with label power. Show all posts
Showing posts with label power. Show all posts
Monday, May 24, 2010
Great Measurement but Small Sample Size: Case Study of Videotaped Families
New York Times
reports
on an interesting UCLA study
that involved video taping 32 Los Angeles families over the course of a week.
The study generated rich data for analysis.
It's great to see researchers moving beyond self-report measures towards
real-world well-coded behavioural observations.
However, great measurement does not overcome issues of a small sample size.
Wednesday, May 5, 2010
Statistical Power Analysis in G*Power 3
G*Power 3 is an excellent piece of software for performing statistical
power analysis.
It is particularly useful for applied researchers who
need to perform a power analysis as part of their research.
The software is free, runs on Windows, and provides a user friendly GUI.
G*Power 3 can be downloaded here
This post discusses the features of G*Power 3 and provides examples of
some of the useful plots that can be generated.
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