scholarly journals Type I Error Rates of the Kenward-Roger Adjusted Degree of Freedom F-test for a Split-Plot Design with Missing Values

2007 ◽  
Vol 6 (1) ◽  
pp. 66-80 ◽  
Author(s):  
Miguel A. Padilla ◽  
James Algina
Keyword(s):  
Missing Values ◽  
Type I Error ◽  
Error Rates ◽  
Degree Of Freedom ◽  
Type I ◽  
F Test ◽  
Type I Error Rates ◽  
Split Plot ◽  
Plot Design

Covariance Structure Selection and Type I Error Rates in Split-Plot Designs

Methodology ◽  
2013 ◽  
Vol 9 (4) ◽  
pp. 129-136 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Type I Error ◽  
Covariance Structure ◽  
Error Rates ◽  
Information Criteria ◽  
Covariance Structures ◽  
Future Research ◽  
Dispersion Matrix ◽  
Type I ◽  
Type I Error Rates ◽  
Split Plot

We examined the selection of covariance structures and the Type I error rates of the Criterion Selector Akaike’s (Akaike’s Information Criteria, AIC) and the Correctly Identified Model (CIM). Data were analyzed with a split-plot design through the Monte Carlo simulation method and SAS 9.1 statistical software. We manipulated the following variables: sample size, relation between group size and dispersion matrix size, type of dispersion matrix, and form of the distribution. Our findings suggest that AIC selects heterogeneous covariance structure more frequently than original covariance structure. Specifically, AIC mostly selected heterogeneous covariance structures and displayed slightly higher Type I error rates than the CIM. These were mostly associated with main and interaction effects for the ARH and RC structures and a marked tendency toward liberality. Future research needs to assess the power levels exhibited by covariance structure selectors.

Type I Error Rates for Parscale’s Fit Index

2005 ◽  
Vol 65 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Christine E. Demars
Keyword(s):  
Type I Error ◽  
Error Rates ◽  
Type I ◽  
Type I Error Rates ◽  
Fit Index
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