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Qi Zhang

Researcher at University of Iowa

Publications -  4
Citations -  201

Qi Zhang is an academic researcher from University of Iowa. The author has contributed to research in topics: Structural equation modeling & Public interest theory. The author has an hindex of 4, co-authored 4 publications receiving 119 citations. Previous affiliations of Qi Zhang include Purdue University.

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How is benevolent leadership linked to employee creativity? The mediating role of leader–member exchange and the moderating role of power distance orientation.

TL;DR: Li et al. as mentioned in this paper proposed and tested a moderated mediation model positing leader-member exchange (LMX) as a mediator, and employee power distance orientation as a moderator of this relationship.
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Leading future orientations for current effectiveness: The role of engagement and supervisor coaching in linking future work self salience to job performance

TL;DR: In this article, the authors argue that future work self salience (FWSS) affects job performance via its influence on engagement, with this influence amplified as a function of supervisor coaching, and they find that engagement mediated the relationships between FWSS and both supervisor-rated and archival sales performance.
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Toward a dimensional model of vocational interests.

TL;DR: This research 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) that proposes that interests are structured hierarchically, with preferences for specific work activities at the lowest level 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.
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Modeling congruence in organizational research with latent moderated structural equations.

TL;DR: This work 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, and demonstrated the substantial advantages of LMS and SI-LMS compared with PRA in providing accurate and precise estimates, particularly under undesirable conditions.