Assessing the Fidelity of STEM Professional Identity Statuses using Cut-Off Scores for Small Populations

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This study utilized a cross-sectional research study design to compare identity status assignments based on the Professional Identity Status Questionnaire (PISQ-5d) categories scores for affirmation, in-depth exploration, practices, commitment, and reconsideration of commitment via both cluster analysis and cutoff scores with respect to the two-factor, three-factor, or five-factor identity status models proposed by Marcia, Crocetti, and Kelly, respectively. The purpose of this study was to determine if cutoff scores could be utilized in lieu of cluster analysis for smaller populations. It was found that cut-off scores aligned with Marcia’s framework were aligned with more robust statistical cluster analysis.

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Set amidst the backdrop of concerns related to the entry of students to Science, Technology, Engineering, and Mathematics (STEM) careers, this study seeks to understand the Professional STEM Identity status of STEM undergraduate students and STEM professionals. This study utilizes a cross-sectional research design to compare participant scores in the categories of affirmation, in-depth exploration, practices, commitment, and reconsideration of commitment in the Professional Identity Status Questionnaire (PISQ-5d). Cluster analysis was performed on the scores to indicate five Professional STEM Identity statuses: achievement status, foreclosure status, moratorium status, searching moratorium status, and diffused status. We initially envisaged that those in STEM careers would have more established STEM identities reflected in higher numbers in an achievement status category; however, this was not the case. These findings raise questions about the dominant approaches used in career guidance for STEM. We conclude that a more fluid and less fixed understanding of Professional STEM Identity may better guide research in the area of STEM and inform institutions that encourage strong affinities to particular STEM careers.

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The Utrecht-Management of Identity Commitments Scale (U-MICS)
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  • Elisabetta Crocetti + 3 more

The present study examined the psychometric properties of the Dutch and Italian versions of the Utrecht-Management of Identity Commitments Scale (U-MICS) in large community samples of adolescents from Italy (N = 1,975) and The Netherlands (N = 1,521). Confirmatory factor analyses indicated that the three-factor model, consisting of commitment, in-depth exploration, and reconsideration of commitment, provided a better fit to the data than alternative one- and two-factor models. The three-factor model fit equivalently across sex and across age groups (early and middle adolescents). Furthermore, we demonstrated cross-national equivalence of the factor structure of the U-MICS. Additionally, results indicated that the latent means for commitment were higher in the Dutch sample, while latent means for both in-depth exploration and reconsideration of commitment were substantially higher in the Italian sample. The three identity processes were found to be meaningfully related to measures of self-concept, psychosocial problems, and parent-adolescent relations in both countries. These findings suggest that the U-MICS is a reliable tool for assessing identity processes in Italian and Dutch adolescents.

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