Reexamining the factorial validity of the 16-item scale measuring need for cognition

• Verfasst von: Zhang, Ying [VerfasserIn]
• Verfasst von: Klopp, Eric [VerfasserIn]
• Verfasst von: Dietrich, Heike [VerfasserIn]
• Verfasst von: Brünken, Roland [VerfasserIn]
• Verfasst von: Krause, Ulrike-Marie [VerfasserIn]
• Verfasst von: Spinath, Birgit [VerfasserIn]
• Verfasst von: Stark, Robin [VerfasserIn]
• Verfasst von: Spinath, Frank M. [VerfasserIn]
• Titel: Reexamining the factorial validity of the 16-item scale measuring need for cognition
• Verf.angabe: Ying Zhang, Eric Klopp, Heike Dietrich, Roland Brünken, Ulrike-Marie Krause, Birgit Spinath, Robin Stark, and Frank M. Spinath
• Jahr: 2020
• Jahr des Originals: 2018
• Umfang: 4 S.
• Fussnoten: Published online: September 18, 2018 ; Gesehen am 23.04.2020
• Titel Quelle: Enthalten in: European journal of psychological assessment
• Ort Quelle: Kirkland, Wash. : Hogrefe & Huber, 1995
• Jahr Quelle: 2020
• Band/Heft Quelle: 36(2020), 1, Seite 212-215
• ISSN Quelle: 2151-2426
• DOI: doi:10.1027/1015-5759/a000484
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1695795679

Abstract

A growing body of studies has emphasized the need to consider method effects due to positively and negatively worded items for a better understanding of the factorial structure of psychological constructs. In particular, several researchers identified such method factors besides the content factor for various scales measuring Need for Cognition (NFC). However, regarding the factorial validity of the 16-item NFC scale developed by Bless, Wänke, Bohner, Fellhauer, and Schwartz (1994), only a one-factor structure without the inclusion of possible method factors has been examined so far. Therefore, we considered such method factors in a broader reexamination of the factorial validity of this measure by investigating a range of structural models in two samples (n = 830, n = 500). We found that a one-factor solution as proposed by Bertrams and Dickhäuser (2010) and Bless et al. (1994) did not fit the data, whereas the inclusion of method factors improved the model fit significantly. According to our results, the model including both the content factor and two uncorrelated method factors yielded the best model fit. In sum, our results provide an extended view of the factorial validity of the 16-item scale of NFC.