Summary information

Study title

Mplus Code for the Development and Validation of Measurement Instruments in the Social Sciences: Psychometric Analyses (Dimensionality, Reliability, Measurement Invariance)

Creator

Groskurth, Katharina ( GESIS - Leibniz-Institut für Sozialwissenschaften)
Partsch, Melanie Viola ( GESIS - Leibniz-Institut für Sozialwissenschaften)
Schmidt, Isabelle ( GESIS - Leibniz-Institut für Sozialwissenschaften)
Blümke, Matthias ( GESIS - Leibniz-Institut für Sozialwissenschaften)

Study number / PID

10.7802/1.1983 (GESIS)

10.7802/1.1983 (DOI)

Data access

Informationen nicht verfügbar

Series

Nicht verfügbar

Abstract

Here you find Mplus code, which is used for the development and validation of measurement instruments (questionnaire, test, items, scale) 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, exploratory structural equation modeling (SEM), 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.

Topics

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Methodology

Data collection period

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Country

Time dimension

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Analysis unit

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Universe

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Sampling procedure

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Kind of data

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Data collection mode

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Access

Publisher

GESIS Datenarchiv für Sozialwissenschaften

Publication year

2020

Terms of data access

Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY-NC 4.0: Attribution – NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/deed.de)

Related publications

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