Summary information

Study title

R Code for the ZIS-documentation of the Organizational Commitment Scale (ISSP)

Creator

Urban, Julian ( GESIS - Leibniz-Institut für Sozialwissenschaften)

Study number / PID

10.7802/2504 (GESIS)

10.7802/2504 (DOI)

Data access

Informationen nicht verfügbar

Series

Nicht verfügbar

Abstract

This is the R Code of the ZIS-documentation of the ISSP Organizational Commitment Scale ( https://doi.org/10.6102/zis312 ). It includes the cross-cultutral computation of descriptive statistics, reliability (Cronbach's alpha, McDonald's Omega and average variance extracted), factorial and convergent validity, and measurement invariance. Used methods were confirmatory factor analyses (factorial validity, reliability, measurement invariance), hierarchical linear modeling (convergent validity), and the alignment method of measurement invariance. Attached you find the abstract of the documentation: Organizational commitment (OC) refers to a person’s identification with and involvement in their company. The herein presented ISSP OC scale was used first in the International Social Survey Programme (ISSP) in 1997. It is an economic scale consisting of three items measuring the affective facet of organizational commitment. Translations exist in 50 languages, and data for 38 countries are available. The German-language version of the scale and most of the other language versions showed acceptable to good reliability (internal consistency). Using data of the ISSP 2015 ( https://doi.org/10.4232/1.12848 , https://doi.org/10.4232/1.13059 ), we found evidence for convergent, divergent, and criterion-related validity. The scale showed approximative scalar invariance across 32 countries which allows comparing latent variances, covariances, and means in cross-cultural studies.

Topics

Nicht verfügbar

Methodology

Data collection period

Nicht verfügbar

Country

Chile, China, Georgia, Israel, Japan, Suriname, Australien, Österreich, Belgien, Tschechien, Deutschland, Estland, Dänemark, Finnland, Frankreich, Vereinigtes Königreich Großbritannien und Nordirland, Kroatien, Ungarn, Indien, Island, Litauen, Lettland, Mexiko, Norwegen, Neuseeland, Philippinen, Polen, Russische Föderation, Schweden, Slowakei, Taiwan, Province of China[a], Vereinigte Staaten von Amerika, Venezuela (Bolivarian Republic of), Türkei, Südafrika

Time dimension

Querschnitt

Analysis unit

Nicht verfügbar

Universe

Nicht verfügbar

Sampling procedure

Nicht verfügbar

Kind of data

Nicht verfügbar

Data collection mode

Nicht verfügbar

Access

Publisher

GESIS Datenarchiv für Sozialwissenschaften

Publication year

2022

Terms of data access

Freier Zugang (mit Registrierung) - Die Forschungsdaten können von allen registrierten Nutzerinnen und Nutzern heruntergeladen werden. CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)

Related publications

Nicht verfügbar