NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)1
Since 2007 (last 20 years)1
Author
Hancock, Gregory R.3
Klockars, Alan J.2
McNeish, Daniel M.1
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 3 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hancock, Gregory R.; McNeish, Daniel M. – Journal of Experimental Education, 2017
For the two-way factorial design in analysis of variance, the current article explicates and compares three methods for controlling the Type I error rate for all possible simple interaction contrasts following a statistically significant interaction, including a proposed modification to the Bonferroni procedure that increases the power of…
Descriptors: Statistical Analysis, Hypothesis Testing, Comparative Analysis, Statistical Significance
Klockars, Alan J.; Hancock, Gregory R. – 1990
Two strategies, derived from J. P. Schaffer (1986), were compared as tests of significance for a complete set of planned orthogonal contrasts. The procedures both maintain an experimentwise error rate at or below alpha, but differ in the manner in which they test the contrast with the largest observed difference. One approach proceeds directly to…
Descriptors: Comparative Analysis, Hypothesis Testing, Monte Carlo Methods, Research Methodology
Klockars, Alan J.; Hancock, Gregory R. – 1993
The challenge of multiple comparisons is to maximize the power for answering specific research questions, while still maintaining control over the rate of Type I error. Several multiple comparison procedures have been suggested to meet this challenge. The stagewise protected procedure (SPP) of A. J. Klockars and G. R. Hancock tests null hypotheses…
Descriptors: Comparative Analysis, Computer Simulation, Hypothesis Testing, Mathematical Models