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Hss Departmental Developments Fall 2014, Department Of Health And Sport Sciences Oct 2014

Hss Departmental Developments Fall 2014, Department Of Health And Sport Sciences

Health and Sport Sciences Newsletter

  • Health Professions Club by Kailee Cialella
  • Rike 40th Anniversary Celebration
  • HSS Comprehensive Campaign Challenge
  • Updates from the Majors
  • The Strengths Perspective by Patti Wilson, MC
  • New Turf & Track
  • A Message from the Chair by Dr. Joan Rocks


Hss Alumni News Fall 2014, Department Of Health And Sport Sciences Oct 2014

Hss Alumni News Fall 2014, Department Of Health And Sport Sciences

Health and Sport Sciences Newsletter

  • Becoming A Leader by Rachel Puthoff
  • Rike Dance/Fitness Room Remodel
  • Updates from the Majors
  • A Message from the Chair by Dr. Joan Rocks


Hss Departmental Developments Spring 2014, Department Of Health And Sport Sciences Apr 2014

Hss Departmental Developments Spring 2014, Department Of Health And Sport Sciences

Health and Sport Sciences Newsletter

  • 1st Annual HSS Showcase Night
  • Sport Management 5 K for Canine Cancer
  • Noteworthy
  • Updates from the Majors


Using The Integrated Behavioral Model To Predict High-Risk Drinking Among College Students, Robert E. Braun Mph, Ches, Tavis Glassman Ph.D.,Mph, Jiunn-Jye Sheu Ph.D.,Msph, Tim Jordan Med, Faith Yingling Ph.D.,Med Jan 2014

Using The Integrated Behavioral Model To Predict High-Risk Drinking Among College Students, Robert E. Braun Mph, Ches, Tavis Glassman Ph.D.,Mph, Jiunn-Jye Sheu Ph.D.,Msph, Tim Jordan Med, Faith Yingling Ph.D.,Med

Health and Sport Sciences Faculty Scholarship

This study assessed the Integrated Behavioral Model’s (IBM) utility in explaining high-risk drinking among college students. A total of 356 participants completed a four-page questionnaire based on the (IBM) theory and their drinking behavior. The results from a path analysis revealed three significant constructs (p<0.05) which predicted intentions to engage in high-risk drinking: experiential attitude (0.34), injunctive norms (0.23), and self-efficacy (-0.28). The IBM explained approximately 45% and 26% of variance in intentions and high-risk drinking, respectively. Although limited in its use thus far, the IBM shows promise in its application r


Development Of An Attribution Of Racial/Ethnic Health Disparities Scale, Robert E. Braun Phd., James H. Price, Jagdish Khubchandani, Erica Payton, Prasum Bhattacharjee Jan 2014

Development Of An Attribution Of Racial/Ethnic Health Disparities Scale, Robert E. Braun Phd., James H. Price, Jagdish Khubchandani, Erica Payton, Prasum Bhattacharjee

Health and Sport Sciences Faculty Scholarship

The purpose of this study was to develop an Attribution of Racial/Ethnic Health Disparities (AREHD) scale. A convenience sample of undergraduate college students (n = 423) at four Midwestern universities was recruited to respond to the survey. A pilot test with undergraduate students (n = 23) found the survey had good acceptability and readability level (SMOG = 11th grade). Using exploratory factor analysis we found the two a priori subscales were confirmed: individual responsibility and social determinants. Internal reliabilities of the subscales were: individual responsibility (alpha = 0.87) and social determinants (alpha = 0.90). Test–retest stability reliabilities were: individual responsibility …