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William T. Hoyt
Researcher at University of Wisconsin-Madison
Publications - 73
Citations - 5715
William T. Hoyt is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Forgiveness & Counseling psychology. The author has an hindex of 32, co-authored 69 publications receiving 5076 citations. Previous affiliations of William T. Hoyt include Virginia Commonwealth University & Iowa State University.
Papers
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Journal ArticleDOI
Religious Involvement and Mortality: A Meta-Analytic Review
Michael E. McCullough,William T. Hoyt,William T. Hoyt,David B. Larson,Harold G. Koenig,Carl E. Thoresen +5 more
TL;DR: Although the strength of the religious involvement-mortality association varied as a function of several moderator variables, the association of religious involvement and mortality was robust and on the order of magnitude that has come to be expected for psychosocial factors.
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Mindfulness Interventions with Youth: A Meta-Analysis
TL;DR: The first published meta-analysis of the burgeoning literature on mindfulness meditation with youth (conducted between 2004 and 2011) identifies specific outcomes and sub-populations for whom mindfulness may be particularly helpful as mentioned in this paper.
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Promoting self-regulation through school-based martial arts training
TL;DR: In this paper, the impact of school-based Tae kwon do training on self-regulatory abilities was examined and a self-regulation framework including three domains (cognitive, affective, and physical) was presented.
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Transgression-Related Motivational Dispositions: Personality Substrates of Forgiveness and their Links to the Big Five:
TL;DR: The authors used generalizability analysis to evaluate the contribution of individual differences to people's transgression-related interpersonal motivations (TRIMs) and found that individual differences accounted for 22% to 44% of the variance in participants' TRIMs (i.e., avoidance, benevolence, and revenge).
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Rater bias in psychological research: when is it a problem and what can we do about it?
TL;DR: In this article, a model based on multivariate generalizability theory is proposed to identify four types of bias that may affect findings in research using observer ratings, including the biases traditionally termed leniency and halo errors.