The Job-Search Self-Efficacy (JSSE) Scale: an Item Response Theory Investigation

被引：0
作者：
Teye-Kwadjo E. [1 ,2 ]
机构：
[1] Department of Industrial Psychology, Stellenbosch University, Private Bag X1, Matieland
[2] Department of Psychology, University of Ghana, P. O. BOX LG84, Legon, Accra
来源：
International Journal of Applied Positive Psychology | 2021年 / 6卷 / 3期
关键词：
Classical test theory; Rasch analysis; Differential item functioning; Item response theory; Job search; Self-efficacy;
D O I：
10.1007/s41042-021-00050-2
中图分类号：
学科分类号：
摘要：
The Job Search Self-Efficacy (JSSE) scale is a widely used measure in the job search literature. To date, the psychometric properties of the JSSE have been based only on classical test theory. This study used item response theory approach to evaluate the JSSE’s psychometric properties to clarify its structure. Participants were 429 recent university graduates. Rasch analysis supported the unidimensional structure of each of the two dimensions of the JSSE. Internal consistency reliabilities were good. The response category functioned properly and the fit of the data to the Rasch model was good. Further, there was no noticeable differential item functioning across gender. The results provided evidence that the JSSE is a reliable measure for assessing job search self-efficacy beliefs among graduate job seekers. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature.
引用
收藏
页码：301 / 314
页数：13
相关论文
共 62 条
  • [1] Adroher N.D., Prodinger B., Fellinghauer C.S., Tennant A., All metrics are equal, but some metrics are more equal than others: A systematic search and review on the use of the term 'metric, PLoS One, 13, 3, (2018)
  • [2] Andrich D., Scaling attitude items constructed and scored in the Likert tradition, Educational and Psychological Measurement, 38, 3, pp. 665-680, (1978)
  • [3] Andrich D., Rating scales and Rasch measurement, Expert Review of Pharmacoeconomics Outcomes Research, 11, 5, pp. 571-585, (2011)
  • [4] Andrich D., Marais I., A course in Rasch measurement theory measuring in the educational, social and health sciences, (2019)
  • [5] Aryadoust V., Ng L.Y., Sayama H., A comprehensive review of Rasch measurement in language assessment: Recommendations and guidelines for research, Language Testing, 38, 1, pp. 6-40, (2021)
  • [6] Bandura A., Self-efficacy: The exercise of control, (1997)
  • [7] Bond T.G., Fox C.M., Applying the Rasch model: Fundamental measurement in the human sciences, (2015)
  • [8] Boone W.J., Rasch analysis for instrument development: Why, when, and how?, Life Sciences Education, 15, 4, pp. 1-7, (2016)
  • [9] Boone W.J., Noltemeyer A., Rasch analysis: A primer for school psychology researchers and practitioners, Cogent Education, 4, 1, (2017)
  • [10] Boone W.J., Staver J.R., Principal component analysis of residuals (PCAR), Advances in Rasch analyses in the human sciences, 2, pp. 13-24, (2020)
1234567