{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T15:57:59Z","timestamp":1784735879495,"version":"3.55.0"},"reference-count":16,"publisher":"American Veterinary Medical Association (AVMA)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["javma"],"published-print":{"date-parts":[[2011,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n<jats:p><jats:bold>Objective<\/jats:bold>\u2014To determine relationships among several common measures of performance prior to and during veterinary school (ie, Graduate Record Examination [GRE] scores, undergraduate grade point average [UGPA], Qualifying Examination [QE] scores, overall grade point average during veterinary school [VGPA], and scores for the North American Veterinary Licensing Examination [NAVLE]).<\/jats:p>\n<jats:p><jats:bold>Design<\/jats:bold>\u2014Longitudinal retrospective study.<\/jats:p>\n<jats:p><jats:bold>Sample Population<\/jats:bold>\u2014192 students from the Iowa State University College of Veterinary Medicine and 152 students from the University of Minnesota College of Veterinary Medicine.<\/jats:p>\n<jats:p><jats:bold>Procedures<\/jats:bold>\u2014Student UGPA, VGPA, and GRE score data were gathered during the normal admissions and academic processes. The QE was administered as a low-stakes examination at both institutions for the purposes of curricular assessment. Scores on the NAVLE were provided with student permission by the National Board of Veterinary Medical Examiners. Path analysis was used to explore hypothesized relationships among variables.<\/jats:p>\n<jats:p><jats:bold>Results<\/jats:bold>\u2014GRE scores and UGPA predicted NAVLE scores indirectly through QE scores and VGPA, whereas QE scores and VGPA directly predicted NAVLE scores. The resulting models explained 58% to 62% of the variance in NAVLE scores, with QE score being the strongest predictor.<\/jats:p>\n<jats:p><jats:bold>Conclusions and Clinical Relevance<\/jats:bold>\u2014Results indicated that for veterinary school students, GRE scores, UGPA, VGPA, and QE scores could be used to predict scores on the NAVLE. This suggests that these measures could prove useful to veterinary schools when admitting students or preparing them for the NAVLE.<\/jats:p>","DOI":"10.2460\/javma.238.4.454","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T12:38:16Z","timestamp":1297773496000},"page":"454-461","source":"Crossref","is-referenced-by-count":15,"title":["Relationships among common measures of student performance and scores on the North American Veterinary Licensing Examination"],"prefix":"10.2460","volume":"238","author":[{"given":"Jared A.","family":"Danielson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tsui-Feng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura K.","family":"Molgaard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vanessa A.","family":"Preast","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1272","reference":[{"key":"ref1","series-title":"Educ Psychol Meas","first-page":"340","article-title":"The validity of the Graduate Record Examination for master's and doctoral programs: a meta-analytic investigation","volume":"70","author":"Kuncel","year":"2010"},{"key":"ref2","series-title":"J Vet Med Educ","first-page":"56","article-title":"Preadmission GRE scores and GPAs as predictors of academic performance in a college of veterinary medicine","volume":"17","author":"Confer","year":"1990"},{"key":"ref3","series-title":"J Vet Med Educ","first-page":"16","article-title":"Pre-professional institutional influence on predictors of first-year academic performance in veterinary college","volume":"26","author":"Confer","year":"1999"},{"key":"ref4","series-title":"Adv Health Sci Educ Theory Pract","first-page":"355","article-title":"Aptitude, achievement and competence in medicine: a latent variable path model","volume":"14","author":"Collin","year":"2009"},{"key":"ref5","series-title":"BMJ","first-page":"952","article-title":"Factors associated with success in medical school: systematic review of the literature","volume":"324","author":"Ferguson","year":"2002"},{"key":"ref6","series-title":"Adv Health Sci Educ Theory Pract","first-page":"455","article-title":"Analysis of factors that predict clinical performance in medical school","volume":"14","author":"White","year":"2009"},{"key":"ref7","series-title":"Med J Aust","first-page":"349","article-title":"Medical school selection criteria and the prediction of academic performance","volume":"188","author":"Wilkinson","year":"2008"},{"key":"ref8","series-title":"J Am Osteopath Assoc","first-page":"157","article-title":"Does the Medical College Admission Test predict global academic performance in osteopathic medical school?","volume":"107","author":"Evans","year":"2007"},{"key":"ref9","series-title":"Med Teach","first-page":"103","article-title":"BEME systematic review: predictive values of measurements obtained in medical schools and future performance in medical practice","volume":"28","author":"Hamdy","year":"2006"},{"key":"ref10","series-title":"The psychology of problem solving","first-page":"3","article-title":"Recognizing, defining, and representing problems","author":"Pretz","year":"2003"},{"key":"ref11","series-title":"Acad Med","first-page":"883","article-title":"Elaborated knowledge: a key to successful diagnostic thinking","volume":"69","author":"Bordage","year":"1994"},{"key":"ref12","series-title":"Acad Med","first-page":"S109","article-title":"The importance of early problem representation during case presentations","volume":"73","author":"Chang","year":"1998"},{"key":"ref13","series-title":"Advanced and multivariate statistical methods: practical application and interpretation","author":"Mertler","year":"2005"},{"key":"ref14","series-title":"Structural equation modeling with LISREL, PRELIS, and SIMPLIS: basic concepts, application, and programming","author":"Byrne","year":"1998"},{"key":"ref15","series-title":"BMJ","first-page":"1009","article-title":"Predicting the \u201cstrugglers\u201d: a case-control study of students at Nottingham University Medical School","volume":"332","author":"Yates","year":"2006"},{"key":"ref16","series-title":"Proceedings. Bus Econ Statist Sect Am Stat Assoc","first-page":"308","article-title":"Scaling corrections for chi-square statistics in covariance structure analysis","author":"Satorra","year":"1988"}],"container-title":["Journal of the American Veterinary Medical Association"],"original-title":[],"link":[{"URL":"https:\/\/avmajournals.avma.org\/view\/journals\/javma\/238\/4\/javma.238.4.454.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/avmajournals.avma.org\/downloadpdf\/journals\/javma\/238\/4\/javma.238.4.454.xml","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/avmajournals.avma.org\/downloadpdf\/journals\/javma\/238\/4\/javma.238.4.454.xml","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T13:19:44Z","timestamp":1741353584000},"score":1,"resource":{"primary":{"URL":"https:\/\/avmajournals.avma.org\/view\/journals\/javma\/238\/4\/javma.238.4.454.xml"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,2,15]]},"references-count":16,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.2460\/javma.238.4.454","relation":{},"ISSN":["0003-1488"],"issn-type":[{"value":"0003-1488","type":"print"}],"subject":[],"published":{"date-parts":[[2011,2,15]]}}}