Klassische Testtheorie (KTT)

Moosbrugger, Helfried; Gäde, Jana C.; Schermelleh-Engel, Karin; Rauch, W.

doi:10.1007/978-3-662-61532-4_13

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…The selection of items for the short scales was based on content-related aspects as well as on statistical characteristics, that is, factor loadings and item easiness (Kelava & Moosbrugger, 2020; see also Hecht, Hardt, Driver, & Voelkle, 2019; Moosbrugger, Gäde, Schermelleh-Engel, & Rauch, 2020). Items with cross-loadings on different factors were eliminated as well as items with low factor loadings.…”

Section: Methodsmentioning

confidence: 99%

Short Form of the State-Trait Anger Expression Inventory-2

Tibubos

Schermelleh-Engel

Rohrmann

2020

European Journal of Health Psychology

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Abstract. The purpose of the present study was to develop a short form of the State-Trait Anger Expression Inventory-2 (STAXI-2) based on the German STAXI-2. Item selection was performed based on exploratory factor analyses (EFA) using descriptive statistical parameters and content-related considerations on calibration samples ( N1 = 215, N2 = 310). The factorial structure of the final extracted scales was validated via confirmatory factor analyses (CFA) ( N3 = 216, N4 = 310). Overall, results present an economic and reliable questionnaire with a total length of 24 items: State Anger short scales Feeling Angry, Verbal Anger Impulse, and Physical Anger Impulse (3 items each), that can be aggregated to a total State Anger score, as well as Trait Anger short scales Angry Reaction (3 items), Anger Expression-In, Anger Expression-Out, and Anger Control (4 items each). The structure of State Anger is identical to the German long version with improved internal consistency in the short form. Regarding the Trait scales, critique on the STAXI-2 has been taken into account resulting in the elimination of the subscale Trait Temperament due to redundancy with Trait Anger Expression-Out and for economic reasons. Other than that, the structure has remained the same. In addition, strict measurement invariance was established based on multi-group CFA for both the State and the Trait scales across gender and age groups, which has not been investigated for STAXI-2 versions to date.

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Section: Methodsmentioning

confidence: 99%