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Kimberly A. Calderwood

Researcher at University of Windsor

Publications -  10
Citations -  112

Kimberly A. Calderwood is an academic researcher from University of Windsor. The author has contributed to research in topics: Social work & Codependency. The author has an hindex of 6, co-authored 10 publications receiving 101 citations.

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Adapting the Transtheoretical Model of Change to the Bereavement Process

TL;DR: This article presents an adaptation of Prochaska and DiClemente's transtheoretical model of change as it could be applied to the journey that bereaved individuals experience.
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When Values and Behaviors Conflict: Immigrant BSW Students' Experiences Revealed.

TL;DR: In this article, a qualitative study reveals the discomfort seven immigrant bachelor of social work students reported experiencing when the behaviors expected of them as Canadian social workers conflicted with their fundamental family values.
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Living in the Shadows: A Canadian Experience of Mental Health Social Work

TL;DR: The article reports the findings of a recent survey of 339 social workers whose area of practice is mental health in the Canadian province of Ontario, confirming that mental health social work practice in Ontario is aligned with current international trends.
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Applying the codependency concept to concerned significant others of problem gamblers: Words of caution

TL;DR: In this paper, the authors critique the CD concept while highlighting possible differences between problem gambling and substance abuse (i.e., financial issues, the ability to hide the problem, cognitive distortions, and societal attitudes); identify important considerations when working with CSOs of problem gamblers; make recommendations for program managers regarding hiring and training practices; and recommend directions for research and in-depth program evaluations to assess what is actually occurring in existing practice.
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Teaching Inferential Statistics to Social Work Students: A Decision-making Flow Chart

TL;DR: The authors presented a decision-making flow chart in conjunction with a problem-based learning framework so that students can be self-directed in the process of determining which inferential statistic to use when given a case example.