After standardizing the variables, we ran principal component analysis and calculated factor scores. Cronbach alpha (CA) was used for checking the internal consistency of the factor. For investigating differences in the behavioral factor score (“social strategy” score, see below), as a function of group, sex (as fixed factors), and age (as covariate) we applied General Linear Model with Student–Newman–Keuls (SNK) post-hoc test, including all main effects and two way interactions. We used backward elimination to obtain the minimum adequate model. SPSS v25 (30 ) was used for the analyses.
Spss v25 30
SPSS v25 (30) is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data manipulation, statistical modeling, and reporting. The software is designed to assist researchers, analysts, and organizations in making data-driven decisions. SPSS v25 (30) offers a wide range of statistical techniques, including regression analysis, hypothesis testing, and multivariate analysis.
Lab products found in correlation
2 protocols using spss v25 30
Assessing Social Behavioral Strategies
After standardizing the variables, we ran principal component analysis and calculated factor scores. Cronbach alpha (CA) was used for checking the internal consistency of the factor. For investigating differences in the behavioral factor score (“social strategy” score, see below), as a function of group, sex (as fixed factors), and age (as covariate) we applied General Linear Model with Student–Newman–Keuls (SNK) post-hoc test, including all main effects and two way interactions. We used backward elimination to obtain the minimum adequate model. SPSS v25 (30 ) was used for the analyses.
Comparative Analysis of Study Data
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