This paper presents an alternative theoretical analysis of several analyses presented by Sternberg and his colleagues of studies designed to validate the Sternberg Triarchic Abilities Test (STAT).
ANOVA (analysis of variance) analyses are used to compute the effects and the contributions of the various factors to the fuel cell maximal power density.
This study took the form of the latter, using the systematic approach proposed by Glass (1976), called meta-analysis, which can further be described as an analysis of the analyses.
Univariate, correlation and analysis of variance analyses were performed using SAS version 9.1 (Cary, NC).
T-test and Significant Analysis of Microarray analyses (SAM) [ 29] were carried out to identify dysregulated mRNAs.
Univariate, correlation, and analysis of variance analyses were conducted to observe the relationship between saliva sample and participant characteristics.
Differentially expressed genes were determined by LIMMA (Linear Models for MicroArray) and SAM (Significance Analysis of Microarrays) analyses.
However, due to the small number of eligible studies identified, only the sensitivity analysis of adjusted analyses with invasive penile cancer as the outcome could be conducted.
One-way and two-way analysis of variance analyses with Tukey post-hoc test were performed using SPSS Data Editor and SigmaStat software.
ANCOVA (analysis of covariance) analyses, separately for each sex and including "body weight" as a quantitative covariate, for ZM test, novel-cage activity and shuttlebox variables.
