Toward whole-person fit assessment: Integrating interests, values, skills, knowledge, and personality using the Occupational Information Network (O*NET).
Zihan Liu,Kevin A Hoff,Chu Chu,Frederick L Oswald,James Rounds
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引用次数: 0
Abstract
Measuring person-occupation fit serves many important purposes, from helping young people explore majors and careers to helping jobseekers assess fit with available jobs. However, most existing fit measures are limited in that they focus on single individual difference domains without considering how fit may differ across multiple domains. For example, a jobseeker might be highly interested in a job, yet not possess the requisite skills or knowledge to perform the job well. The current research addresses this issue by evaluating an integrative set of person-occupation fit assessments that measure 88 fit dimensions across five domains: vocational interests, work values, knowledge, skills, and personality. These measures were either newly developed or adapted from existing assessments to directly correspond with occupational variables from the Occupational Information Network database. Across three studies with diverse samples, we obtained extensive reliability and validity evidence to evaluate the fit assessments. Results consistently showed that integrating across fit domains led to practical improvements in predictions of relevant outcomes, including career choice and subjective and objective career success. However, some fit measures (i.e., interests and knowledge) were generally more predictive of outcomes than others (i.e., personality), thus warranting greater consideration for use in research and applied contexts. We discuss how our results advance theoretical and practical knowledge concerning the measurement of person-occupation fit in the modern labor market. Moreover, to inspire additional research and applications involving whole-person fit measurement, we made all newly developed fit assessments publicly available, providing guidance for using them with the Occupational Information Network database. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍：
The Journal of Applied Psychology® focuses on publishing original investigations that contribute new knowledge and understanding to fields of applied psychology (excluding clinical and applied experimental or human factors, which are better suited for other APA journals). The journal primarily considers empirical and theoretical investigations that enhance understanding of cognitive, motivational, affective, and behavioral psychological phenomena in work and organizational settings. These phenomena can occur at individual, group, organizational, or cultural levels, and in various work settings such as business, education, training, health, service, government, or military institutions. The journal welcomes submissions from both public and private sector organizations, for-profit or nonprofit. It publishes several types of articles, including:
1.Rigorously conducted empirical investigations that expand conceptual understanding (original investigations or meta-analyses).
2.Theory development articles and integrative conceptual reviews that synthesize literature and generate new theories on psychological phenomena to stimulate novel research.
3.Rigorously conducted qualitative research on phenomena that are challenging to capture with quantitative methods or require inductive theory building.
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