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DDI study level documentation for study 10.7802/1.1985 Stata Code for the Development and Validation of Measurement Instruments in the Social Sciences: Psychometric Analyses (Dimensionality, Reliability, Measurement Invariance) Stata Code for the Development and Validation of Measurement Instruments in the Social Sciences: Psychometric Analyses (Dimensionality, Reliability, Measurement Invariance) Stata Code for the Development and Validation of Measurement Instruments in the Social Sciences: Psychometric Analyses (Dimensionality, Reliability, Measurement Invariance) 10.7802/1.198510.7802/1.198510.7802/1.198510.7802/1.1985 Groskurth, Katharina Groskurth, Katharina Knopf, Thomas Knopf, Thomas Partsch, Melanie Viola Partsch, Melanie Viola Schmidt, Isabelle Schmidt, Isabelle Blümke, Matthias Blümke, Matthias GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften psychometricssyntaxsocial sciencepsychometricssyntaxsocial science Here you find Stata code, which is used for the development and validation of measurement instruments (questionnaires, tests, items, scales) for the social sciences. The description of the analyses carried out with the code can be found in the appendices A1 to A5 of the ZIS Publication Guide. Each code includes comments to guide users through the code. We provide the data set “example1” to run the code. We provide: Code for testing the dimensionality of scales comprises exploratory factor analysis, principal component analysis, and confirmatory factor analysis (tau-congeneric and tau-equivalent). For the description of the analyses, see appendices A1 to A2 of the ZIS Publication Guide. Code used to estimate reliability comprises the estimation of split-half reliability, retest reliability, reliability coefficients for single-factor models (Cronbach’s Alpha, McDonald’s Omega/Raykov’s Rho, AVE [Average Variance Extracted]), and bi-factor models (Omega-H, ECV [Explained Common Variance]). For the description of the analyses, see appendix A3 of the ZIS Publication Guide. Code for measurement invariance testing within SEM. For the description of the analyses see appendix A5 of the ZIS Publication Guide.Here you find Stata code, which is used for the development and validation of measurement instruments (questionnaires, tests, items, scales) for the social sciences. The description of the analyses carried out with the code can be found in the appendices A1 to A5 of the ZIS Publication Guide. Each code includes comments to guide users through the code. We provide the data set “example1” to run the code. We provide: Code for testing the dimensionality of scales comprises exploratory factor analysis, principal component analysis, and confirmatory factor analysis (tau-congeneric and tau-equivalent). For the description of the analyses, see appendices A1 to A2 of the ZIS Publication Guide. Code used to estimate reliability comprises the estimation of split-half reliability, retest reliability, reliability coefficients for single-factor models (Cronbach’s Alpha, McDonald’s Omega/Raykov’s Rho, AVE [Average Variance Extracted]), and bi-factor models (Omega-H, ECV [Explained Common Variance]). For the description of the analyses, see appendix A3 of the ZIS Publication Guide. Code for measurement invariance testing within SEM. For the description of the analyses see appendix A5 of the ZIS Publication Guide. Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_1.1985 2023-03-11 ddi:codebook:2_5