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Jennifer L. Howell

Researcher at University of California, Merced

Publications -  74
Citations -  1306

Jennifer L. Howell is an academic researcher from University of California, Merced. The author has contributed to research in topics: Medicine & Implicit attitude. The author has an hindex of 18, co-authored 57 publications receiving 900 citations. Previous affiliations of Jennifer L. Howell include Ohio University & University of Florida.

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Reducing Information Avoidance Through Affirmation

TL;DR: Affirmation decreased participants’ avoidance of risk feedback and eliminated the increased avoidance typically observed when risk feedback might obligate people to engage in undesired behavior when feedback is about risk for an untreatable disease.
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Avoiding cancer risk information.

TL;DR: It is suggested that cancer risk information avoidance is a multi-determined phenomenon that is associated with demographic characteristics and psychosocial individual differences and also relates to engagement in cancer screening.
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Establishing an Information Avoidance Scale.

TL;DR: An 8-item measure of people's tendency to avoid learning information is developed that is adaptable to a variety of types of information and is internally consistent in several distinct populations.
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A Multisite Preregistered Paradigmatic Test of the Ego-Depletion Effect:

Kathleen D. Vohs, +129 more
TL;DR: This paper conducted a pre-registered multilaboratory project (k = 36; N = 3,531) to assess the size and robustness of ego depletion effects using a novel replication method, termed the paradigmatic replication approach.
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Does lacking threat-management resources increase information avoidance? A multi-sample, multi-method investigation

TL;DR: In this article, the authors conducted four studies assessing three different populations (undergraduates, high school students, and a nationally-representative sample of adults), using a variety of measures and methods (e.g., single and multi-item self-report measures, a behavioral measure, social network analysis), across three information contexts (i.e., general health information, specific disease risk, socially-evaluative information).