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Moving college health research forward: Reconsidering our reliance on statistical significance testing.
Barry, Adam E; Valdez, Danny; Goodson, Patricia; Szucs, Leigh; Reyes, Jovanni V.
Affiliation
  • Barry AE; a Department of Health and Kinesiology , Texas A&M University , College Station , Texas , USA.
  • Valdez D; b Department of Health and Kinesiology , Texas A&M University , College Station , Texas , USA.
  • Goodson P; c Department of Health and Kinesiology , Texas A&M University , College Station , Texas , USA.
  • Szucs L; d Department of Health and Kinesiology , Texas A&M University , College Station , Texas , USA.
  • Reyes JV; e Department of Health and Kinesiology , Texas A&M University , TAMU , College Station , Texas , USA.
J Am Coll Health ; 67(3): 181-188, 2019 04.
Article in En | MEDLINE | ID: mdl-29952723
ABSTRACT
Understanding the unique health needs of college students and establishing best practices to address them depend, heavily, on the inherent quality and contribution of the research identifying these needs. College health-focused publications currently exemplify less than ideal statistical reporting practices. Specifically, college health practitioners and researchers continue to rely heavily upon null hypothesis significance testing (NHST) as the sole standard for effectiveness, validity, and/or replicability of scientific studies, even though NHST itself was not designed for such purposes. Herein we address the following questions (a) What is NHST? (b) What are the inherent limitations of NHST? (c) What are recommended alternatives to NHST? and (d) How can editorial policies promote adopting NHST alternatives? Using college health data from the CORE 2011 Alcohol and Drug survey, we provide a heuristic example demonstrating how effect sizes do not suffer from the same limitations as NHST.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Student Health Services / Students / Universities / Data Interpretation, Statistical / Biomedical Research Type of study: Guideline / Prognostic_studies Limits: Adult / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Am Coll Health Year: 2019 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Student Health Services / Students / Universities / Data Interpretation, Statistical / Biomedical Research Type of study: Guideline / Prognostic_studies Limits: Adult / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Am Coll Health Year: 2019 Type: Article Affiliation country: United States