Power and Sample Size Calculations for Testing Linear Combinations of Group Means under Variance Heterogeneity with Applications to Meta and Moderation Analyses
The general formulation of a linear combination of population means permits a wide range of research questions to be tested within the context of ANOVA. However, it has been stressed in many research areas that the homogeneous variances assumption is frequently violated. To accommodate the heterogeneity of variance structure, the Welch–Satterthwaite procedure is commonly used as an alternative to the t test for detecting the substantive significance of a linear [...]
Is there a need for more than three models?
An important open issue in Functional Measurement is whether the three [...]
Functional Measurement in the Field of Empirical Bioethics
We present, in a synthetic way, some of the main findings [...]
Colombian Lay People’s Willingness to Forgive Different Actors of the Armed Conflict: Results from a Pilot Study
A pilot study examined lay people’s willingness to forgive acts [...]
Functional Measurement: An Incredibly Flexible Tool
Functional Measurement (FM) has been applied to a variety of [...]
