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Short Version of Self-Assessment Scale of Job Performance

Érika Guimarães Soares de Azevedo Andrade et al · Servicio de Publicaciones de la Universidad de Murcia · 2020

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Abstract: This paper aims to reduce the job performance self-assessment scale as well as control the response bias and acquiescence bias using vignettes anchors and inverted items. The original scale database was composed of 20 items divided into two factors: task and context. For the reduction, the ten items with higher factor loads and thresholds were chosen. The reduced scale was estimated by a general factor and two specific dimensions: task and context, representing a bifactor model, with adequate adjustment indicators (RMSEA = .05; TLI = .98). To control response bias and acquiescence, a second study was carried out, in which the responses were recoded and factor analyses were performed in order to make a comparison of the results with and without the use of the vignettes and inverted items. The results indicated that the vignettes improved the factorial loads; however, the reversed items did not perform better than the vignettes.

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APA 7

al, É. G. S. D. A. A. E. (2020). Short Version of Self-Assessment Scale of Job Performance. https://doi.org/10.6018/analesps.36.3.402661

MLA

al, Érika Guimarães Soares de Azevedo Andrade et. "Short Version of Self-Assessment Scale of Job Performance." 2020. https://doi.org/10.6018/analesps.36.3.402661.

Chicago

al, Érika Guimarães Soares de Azevedo Andrade et. 2020. "Short Version of Self-Assessment Scale of Job Performance.". https://doi.org/10.6018/analesps.36.3.402661.

Harvard

al, É. G. S. D. A. A. E. 2020, Short Version of Self-Assessment Scale of Job Performance, Servicio de Publicaciones de la Universidad de Murcia, available at: https://doi.org/10.6018/analesps.36.3.402661 [Accessed 7 Aug. 2026].

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Title
Short Version of Self-Assessment Scale of Job Performance
Author / contributors
Érika Guimarães Soares de Azevedo Andrade et al
Publisher
Servicio de Publicaciones de la Universidad de Murcia
Publication year
2020
ISSN
0212-9728
ISSN
0212-9728
Language
English

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