No abstract

Growing evidence on the predictive validity of vocational interests for job performance calls for greater consideration of interest assessment in organizations. However, a consensus on the fundamental dimensions of interests that are aligned with the contemporary world of work is still lacking. In the current research, we developed an organizing framework of vocational interests and empirically validated an 8-dimension model (SETPOINT: Health Science, Creative Expression, Technology, People, Organization, Influence, Nature, and Things). We propose that interests are structured hierarchically, with preferences for specific work activities at the lowest level (assessed using interest items), basic interests for homogeneous classes of activities at the intermediate level (assessed using basic interest scales), and broad-band interest dimensions describing general tendencies of individuals to be drawn to or motivated by broad types of work environments at the top. To derive broad-band interest dimensions, it is necessary to base it on a comprehensive range of content-specific basic interest constructs. In Study 1, we conducted an extensive review of existing basic interest scales and developed a new assessment of basic interests with 41 homogeneous scales across two samples. In Study 2, we demonstrated the structural validity of the proposed dimensional model using second-order confirmatory factor analysis and exploratory structural equation modeling with a large, diverse sample of working adults and supported its predictive validity for occupational membership in new and traditional sectors of work. We discuss implications from the current findings for building interest theory, using interest assessment for organizational research, and evaluating interest structure with appropriate methods.

A growing volume of research has used polynomial regression analysis (PRA) to examine congruence effects in a broad range of organizational phenomena. However, conclusions from congruence studies, even ones using the same theoretical framework, vary substantially. We argue that conflicting findings from congruence research can be attributable to several methodological artifacts, including measurement error, collinearity among predictors, and sampling error. These methodological artifacts can significantly affect the estimation accuracy of PRA and undermine the validity of conclusions from primary studies as well as meta-analytic reviews of congruence research. We introduce two alternative methods that address this concern by modeling congruence within a latent variable framework: latent moderated structural equations (LMS) and reliability-corrected single-indicator LMS (SI-LMS). Using a large-scale simulation study with 6,322 conditions and close to 1.9 million replications, we showed how methodological artifacts affected the performance of PRA, specifically, its (un)biasedness, precision, Type I error rate, and power in estimating linear, quadratic, and interaction effects. We also demonstrated the substantial advantages of LMS and SI-LMS compared with PRA in providing accurate and precise estimates, particularly under undesirable conditions. Based on these findings, we discuss how these new methods can help researchers find more consistent effects and draw more meaningful theoretical conclusions in future research. We offer practical recommendations regarding study design, model selection, and sample size planning. In addition, we provide example syntax to facilitate the application of LMS and SI-LMS in congruence research.

Researchers have been looking for effective interventions to promote physical activity due to its great impact on both physical and mental health. In two studies, the current research investigated (1) whether evaluative conditioning could increase implicit attitudes toward exercise; (2) whether dual‐channel evaluative conditioning had a greater influence compared to single‐channel evaluative conditioning. In Study 1, results from 32 participants (7 males, 25 females; Mage = 19.470, SDage = 1.174) were used to compare the audiovisual dual‐channel with the visual single‐channel evaluative conditioning. In Study 2, we analyzed data from 100 participants (35 males, 65 females; Mage = 20.990, SDage = 3.141) and compared the visual‐kinesthetic dual‐channel with the visual single‐channel evaluative conditioning. The results showed that individuals' implicit attitudes toward exercise were more positively affected by dual‐channel than single‐channel evaluative conditioning.