Factor analysis-validated comprehensive employee job performance scale
Purpose: The purpose of this paper is to develop an employee job performance (EJP) scale questionnaire that encompasses the job time, job quality and job quantity dimensions of employee performance. Design/methodology/approach: In this study, the questionnaire questions were first validated using exploratory factor analysis (EFA) and then confirmatory factor analysis (CFA) along the three performance dimensions. The research samples were auto-parts assembly line workers. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by the composite reliability (CR) and the average variance extracted (AVE). Findings: The questionnaire questions identified three factors of EJP, namely, job time, job quality and job quantity, with 13 items. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by a CR of 0.894 and AVE of 0.739, in addition toχ2=63.340, df=54,p=0.180, goodness of fit index=0.976, adjusted goodness of fit index=0.960, RMSEA=0.021 and root mean square residue=0.014. Research limitations/implications: The EJP scale questionnaire was examined using only EFA and CFA. These scales are expected to help academics, researchers and practitioners test theories. Because of the features of the sample, the final results should be considered carefully. Practical implications: Importantly, the factor analysis results suggest that the proposed EJP scale questionnaire can be applied to various industries and settings either as is or with minimal modifications. Originality/value: The EJP questionnaire is novel and can serve as an excellent EJP tool to measure employees’ behavioral output. The questionnaire can provide empirical data on employee performance output based on the employee’s perspective.
Year of publication: |
2018
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Authors: | Na-Nan, Khahan ; Chaiprasit, Kanokporn ; Pukkeeree, Peerapong |
Published in: |
International Journal of Quality & Reliability Management. - Emerald, ISSN 0265-671X, ZDB-ID 1466792-7. - Vol. 35.2018, 10 (29.11.), p. 2436-2449
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Publisher: |
Emerald |
Saved in:
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