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Title:What do interest inventories measure? The convergence and content validity of four RIASEC inventories
Author(s):Chu, Chu
Advisor(s):Rounds, James
Department / Program:Psychology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):vocational interests
convergent validity
content validity
Abstract:Most interest inventories aim to measure the same core interest traits based on Holland’s (1997) RIASEC model. Despite the widespread use of RIASEC interest inventories, little is known about the extent to which these inventories actually measure the same core constructs and provide similar career recommendations to individuals. The current study investigates the convergent validity among four major interest inventories—the Self-Directed Search (SDS), the O*NET Interest Profiler (IP), the ACT Interest Inventory (UNIACT), and the Strong Interest Inventory (SII). Three methods were used to analyze different aspects of convergence: 1) correlated trait-correlated methods (CT-CM) model, 2) high-point code agreements, and 3) item content analysis. Results showed that, although RIASEC interest scores from the four inventories were highly correlated, the measures often gave respondents different high point codes that lead to divergent career recommendations. Moreover, item content analysis revealed that while the inventories measure some common basic interest dimensions, they also assess distinct peripheral basic interests. Integrating findings from these three unique perspectives, we put forth practical recommendations for constructing future interest inventories to increase convergence. We also discuss the importance of using multiple methods to investigate convergent validity, especially content analysis which provides foundational guidance for interpreting results from existing interest inventories.
Issue Date:2021-04-30
Rights Information:Copyright 2021 Chu Chu
Date Available in IDEALS:2021-09-17
Date Deposited:2021-05

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