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Social and Behavioral Sciences Commons™
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Articles 1 - 7 of 7
Full-Text Articles in Social and Behavioral Sciences
Beyond The Bmi: Expanding Quantitative Methods To Study Health For All Bodies, Kieran Chase, Daniel Oron
Beyond The Bmi: Expanding Quantitative Methods To Study Health For All Bodies, Kieran Chase, Daniel Oron
OHSU-PSU School of Public Health Annual Conference
The public health field is beginning to reckon with its role in perpetuating and reinforcing systemic anti-fatness. Emerging evidence for the devastating health impacts of stigma call into question decades of research and policy that labels the size of people’s bodies as diseased. However, even as we acknowledge the harmful effects of stigma, the field is materially and institutionally invested in a health paradigm that centers weight loss and size-related proxies for health, such as the BMI. Public health scholars interested in questions related to nutrition, chronic disease, and exercise must begin to expand their research focus to imagine non-stigmatizing …
Research And The Replication Crisis: A Psychology Course Proposal, Kathryn Fassih
Research And The Replication Crisis: A Psychology Course Proposal, Kathryn Fassih
Honors Projects
For my project, I have created a course syllabus and lab manual for undergraduate students to learn more about the replication crisis in the field of psychology and learn how to conduct hands-on research through replicating carefully selected studies.
Multistate Revenue Study, Soumanou Sabi Goura
Multistate Revenue Study, Soumanou Sabi Goura
Georgia Municipal Association Practicum
No abstract provided.
The Reliability Of Crowdsourcing: Latent Trait Modeling With Mechanical Turk, Matt Baucum, Steven Rouse Dr., Cindy Miller-Perrin, Elizabeth Mancuso Dr.
The Reliability Of Crowdsourcing: Latent Trait Modeling With Mechanical Turk, Matt Baucum, Steven Rouse Dr., Cindy Miller-Perrin, Elizabeth Mancuso Dr.
Seaver College Research And Scholarly Achievement Symposium
Mechanical Turk, an online crowdsourcing platform, has recently received increased attention in the social sciences as studies continue to suggest its viability as a source for reliable experimental data. Given the ease with which large samples can be quickly and inexpensively gathered, it is worth examining whether Mechanical Turk can provide accurate experimental data for methodologies requiring such large samples. One such methodology is Item Response Theory, a psychometric paradigm that defines test items by a mathematical relationship between a respondent’s ability and the probability of item endorsement. To test whether Mechanical Turk can serve as a reliable source of …
Layman's Talk Phd Ceremony On Military Memoirs, Esmeralda Kleinreesink
Layman's Talk Phd Ceremony On Military Memoirs, Esmeralda Kleinreesink
Esmeralda Kleinreesink
An Assessment Of Goal-Free Evaluation: Case Studies Of Four Goal-Free Evaluations, Brandon Youker, Allyssa Ingraham
An Assessment Of Goal-Free Evaluation: Case Studies Of Four Goal-Free Evaluations, Brandon Youker, Allyssa Ingraham
Brandon W. Youker Ph.D
This article provides a critical review of four goal-free program evaluations. Goal-free evaluation (GFE) is a lesser used evaluation model whereby the independent evaluator is intentionally screened from the program’s stated goals and objectives in hopes of reducing perceptual bias. The findings from these case studies are focused in three areas: (1) elements of the programs evaluated and the evaluation contexts (e.g., types of programs, pre-evaluation conditions, size of evaluation budgets), (2) the design of the GFEs (e.g., screening methods, data collection methods), and (3) the expertise of the goal-free evaluators (e.g., GFE-specific training, graduate degrees attained). With these evaluations, …
Goal-Free Evaluation: A Potential Model For The Evaluation Of Social Work Programs, Brandon W. Youker Ph.D, Allyssa Ingraham B.S.
Goal-Free Evaluation: A Potential Model For The Evaluation Of Social Work Programs, Brandon W. Youker Ph.D, Allyssa Ingraham B.S.
Brandon W. Youker Ph.D
Goal-free evaluation (GFE) is an evaluation model where the evaluator is deliberately kept from the stated (or implied) goals and objectives of the program; this is accomplished by appointing a screener to keep goal-related information from the goal-free evaluator. Screening the evaluator from program goals is designed to control bias inherent in goal-based evaluation (GBE), a bias that contaminates the evaluator’s ability to see the program’s true outcomes and true merit. Although GFE has been around for more than half a century, GBE continues to dominate evaluation practice and the literature on GFE remains sparse and highly theoretical. This article …