Suchergebnisse

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.

Social, emotional, and behavioral (SEB) skills comprise a broad set of abilities that are essential for building and maintaining relationships, regulating emotions, selecting and pursuing goals, or exploring novel stimuli. Toward an improved SEB skill assessment, Soto and colleagues recently introduced the Behavioral, Emotional, and Social Skills Inventory (BESSI). Measuring 32 facets from 5 domains with 192 items (assessment duration: ~15 min), BESSI constitutes the most extensive SEB inventory to date. However, so far, BESSI exists only in English. In three studies, we comprehensively validated a novel German-language adaptation, BESSI-G. Moreover, we expanded evidence on BESSI in three ways by (1) assessing the psychometric properties of the 32 individual skill facets, in addition to their domain-level structure; (2) providing first insights into the temporal stabilities of the 32 facets over 1.5 and 8 months; and (3) investigating the domains' and facets' associations with intelligence, in addition to personality traits. Results show that BESSI-G exhibits good psychometric properties (unidimensionality, reliability, factorial validity). Its domain-level structure is highly similar to that of the English-language source version. The facets show high temporal stabilities, convergent validity with personality traits, and discriminant validity with fluid and crystallized intelligence. We discuss implications for research on SEB skills.

Die deutsche Version des Big Five Inventars 2 (BFI-2) erfasst die 5 Persönlichkeitsdomänen Extraversion, Verträglichkeit, Gewissenhaftigkeit, Negative Emotionalität (Neurotizismus) und Offenheit sowie insgesamt 15 Persönlichkeitsfacetten mit 60 Items. Das Inventar wurde im Rahmen eines mehrstufigen Übersetzungsprozesses vom Englischen ins Deutsche übertragen. Anhand einer nach Alter, Geschlecht und Bildungsabschluss quotieren Bevölkerungsstichprobe (N = 1 224) wurden Reliabilität, Validität und Messinvarianz über Geschlechter und Altersgruppen untersucht. Die Ergebnisse der Studien deuten auf gute Reliabilitäten der Domänenwerte und ausreichende Reliabilitäten der Facettenwerte hin. Einzelitems und die Facettenwerte zeigen erwartungskonforme Ladungsmuster. Die Domänen- und Facettenwerte korrelieren erwartungsgemäß mit anderen Persönlichkeitsinventaren und sind mit Kriterien wie Bildungsabschluss, Einkommen, Gesundheit und Lebenszufriedenheit assoziiert. Strukturgleichungsmodelle belegen die residuale Invarianz über Geschlechter. Die durchschnittliche Bearbeitungszeit beträgt 8 Minuten. Normwerte für die deutsche Allgemeinbevölkerung werden berichtet.