Loading…

The Use of Pre-Admission Data to Predict Levels of Success in Selected Allied Health Students

Selecting students from an applicant pool poses a challenge for allied health educators. The admission committee must evaluate a variety of information available on each applicant to determine whether the applicant will be a successful student and complete the program. There are few predictor variab...

Full description

Saved in:
Bibliographic Details
Published in:OTJR (Thorofare, N.J.) N.J.), 1990-11, Vol.10 (6), p.367-376
Main Authors: Schmalz, Gretchen M., Rahr, Richard R., Allen, Ruth M.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c248t-38a0b9766ef546bea6a1efa19be65b4c50b66a78698a418cd2a043880dbbe7e23
cites cdi_FETCH-LOGICAL-c248t-38a0b9766ef546bea6a1efa19be65b4c50b66a78698a418cd2a043880dbbe7e23
container_end_page 376
container_issue 6
container_start_page 367
container_title OTJR (Thorofare, N.J.)
container_volume 10
creator Schmalz, Gretchen M.
Rahr, Richard R.
Allen, Ruth M.
description Selecting students from an applicant pool poses a challenge for allied health educators. The admission committee must evaluate a variety of information available on each applicant to determine whether the applicant will be a successful student and complete the program. There are few predictor variables that clearly determine the applicant's probability of completing a program. In this paper the variables that were studied included entering grade point average (GPA), age, number of credits taken at a 4-year institution, sex, marital status, ethnic origin, IQ scores, and a variety of departmental-specific admission testing procedures. Several variables that were common to more than one program were studied to determine which factors would predict a student's level of academic success. Significant predictive variables were identified: Otis Quick-Scoring Mental Abilities Test, institution, cumulative GPA, and occupational therapy department admissions essay scores. These variables provide admission committees with data they could use in making admission decisions among similarly qualified applicants.
doi_str_mv 10.1177/153944929001000606
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_910976352</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ417744</ericid><sage_id>10.1177_153944929001000606</sage_id><sourcerecordid>2537653281</sourcerecordid><originalsourceid>FETCH-LOGICAL-c248t-38a0b9766ef546bea6a1efa19be65b4c50b66a78698a418cd2a043880dbbe7e23</originalsourceid><addsrcrecordid>eNp9kFFLwzAUhYMoOKd_QHwIvtclTZomj2NuThkobHuUkqa3rqNrZ5IK_ntTKvog-HQv93znHLgIXVNyR2maTmjCFOcqVoRQQogg4gSNqGIyiplkp2EPQNQT5-jCuX3ARFBG6HWzA7x1gNsSv1iIpsWhcq5qG3yvvca-7a9FZTxewQfUrufWnTHgHK4avIYajIcCT-u6CmMJuvY7vPZdAY13l-is1LWDq-85RtvFfDNbRqvnh8fZdBWZmEsfMalJrlIhoEy4yEELTaHUVOUgkpybhORC6FQKJTWn0hSxJpxJSYo8hxRiNka3Q-7Rtu8dOJ_t2842oTJTlIRklvRQPEDGts5ZKLOjrQ7afmaUZP0Xs79fDKabwQS2Mj-G-RMPPOdBngyy02_wW_pP4BcB83oQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>910976352</pqid></control><display><type>article</type><title>The Use of Pre-Admission Data to Predict Levels of Success in Selected Allied Health Students</title><source>Social Science Premium Collection</source><source>ERIC</source><source>Education Collection</source><creator>Schmalz, Gretchen M. ; Rahr, Richard R. ; Allen, Ruth M.</creator><creatorcontrib>Schmalz, Gretchen M. ; Rahr, Richard R. ; Allen, Ruth M.</creatorcontrib><description>Selecting students from an applicant pool poses a challenge for allied health educators. The admission committee must evaluate a variety of information available on each applicant to determine whether the applicant will be a successful student and complete the program. There are few predictor variables that clearly determine the applicant's probability of completing a program. In this paper the variables that were studied included entering grade point average (GPA), age, number of credits taken at a 4-year institution, sex, marital status, ethnic origin, IQ scores, and a variety of departmental-specific admission testing procedures. Several variables that were common to more than one program were studied to determine which factors would predict a student's level of academic success. Significant predictive variables were identified: Otis Quick-Scoring Mental Abilities Test, institution, cumulative GPA, and occupational therapy department admissions essay scores. These variables provide admission committees with data they could use in making admission decisions among similarly qualified applicants.</description><identifier>ISSN: 1539-4492</identifier><identifier>ISSN: 0276-1599</identifier><identifier>EISSN: 1938-2383</identifier><identifier>DOI: 10.1177/153944929001000606</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Ability tests ; Academic Achievement ; Admission Criteria ; Allied Health Occupations Education ; Cognitive Ability ; College Entrance Examinations ; College students ; Essays ; Grade Point Average ; Health sciences ; Higher Education ; Marital status ; Occupational therapy ; Otis Quick Scoring Mental Ability Tests ; Physical therapy ; Predictor Variables ; Reading Tests ; Science Curriculum ; Scores ; Selective Admission ; Studies ; Variables</subject><ispartof>OTJR (Thorofare, N.J.), 1990-11, Vol.10 (6), p.367-376</ispartof><rights>1990 American Occupational Therapy Foundation</rights><rights>Copyright SLACK INCORPORATED Nov/Dec 1990</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c248t-38a0b9766ef546bea6a1efa19be65b4c50b66a78698a418cd2a043880dbbe7e23</citedby><cites>FETCH-LOGICAL-c248t-38a0b9766ef546bea6a1efa19be65b4c50b66a78698a418cd2a043880dbbe7e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/910976352/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/910976352?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21378,21394,27924,27925,33611,33877,43733,43880,74093,74269</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ417744$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Schmalz, Gretchen M.</creatorcontrib><creatorcontrib>Rahr, Richard R.</creatorcontrib><creatorcontrib>Allen, Ruth M.</creatorcontrib><title>The Use of Pre-Admission Data to Predict Levels of Success in Selected Allied Health Students</title><title>OTJR (Thorofare, N.J.)</title><description>Selecting students from an applicant pool poses a challenge for allied health educators. The admission committee must evaluate a variety of information available on each applicant to determine whether the applicant will be a successful student and complete the program. There are few predictor variables that clearly determine the applicant's probability of completing a program. In this paper the variables that were studied included entering grade point average (GPA), age, number of credits taken at a 4-year institution, sex, marital status, ethnic origin, IQ scores, and a variety of departmental-specific admission testing procedures. Several variables that were common to more than one program were studied to determine which factors would predict a student's level of academic success. Significant predictive variables were identified: Otis Quick-Scoring Mental Abilities Test, institution, cumulative GPA, and occupational therapy department admissions essay scores. These variables provide admission committees with data they could use in making admission decisions among similarly qualified applicants.</description><subject>Ability tests</subject><subject>Academic Achievement</subject><subject>Admission Criteria</subject><subject>Allied Health Occupations Education</subject><subject>Cognitive Ability</subject><subject>College Entrance Examinations</subject><subject>College students</subject><subject>Essays</subject><subject>Grade Point Average</subject><subject>Health sciences</subject><subject>Higher Education</subject><subject>Marital status</subject><subject>Occupational therapy</subject><subject>Otis Quick Scoring Mental Ability Tests</subject><subject>Physical therapy</subject><subject>Predictor Variables</subject><subject>Reading Tests</subject><subject>Science Curriculum</subject><subject>Scores</subject><subject>Selective Admission</subject><subject>Studies</subject><subject>Variables</subject><issn>1539-4492</issn><issn>0276-1599</issn><issn>1938-2383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><sourceid>7SW</sourceid><sourceid>ALSLI</sourceid><sourceid>CJNVE</sourceid><sourceid>M0P</sourceid><recordid>eNp9kFFLwzAUhYMoOKd_QHwIvtclTZomj2NuThkobHuUkqa3rqNrZ5IK_ntTKvog-HQv93znHLgIXVNyR2maTmjCFOcqVoRQQogg4gSNqGIyiplkp2EPQNQT5-jCuX3ARFBG6HWzA7x1gNsSv1iIpsWhcq5qG3yvvca-7a9FZTxewQfUrufWnTHgHK4avIYajIcCT-u6CmMJuvY7vPZdAY13l-is1LWDq-85RtvFfDNbRqvnh8fZdBWZmEsfMalJrlIhoEy4yEELTaHUVOUgkpybhORC6FQKJTWn0hSxJpxJSYo8hxRiNka3Q-7Rtu8dOJ_t2842oTJTlIRklvRQPEDGts5ZKLOjrQ7afmaUZP0Xs79fDKabwQS2Mj-G-RMPPOdBngyy02_wW_pP4BcB83oQ</recordid><startdate>199011</startdate><enddate>199011</enddate><creator>Schmalz, Gretchen M.</creator><creator>Rahr, Richard R.</creator><creator>Allen, Ruth M.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7RV</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0P</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>NAPCQ</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>199011</creationdate><title>The Use of Pre-Admission Data to Predict Levels of Success in Selected Allied Health Students</title><author>Schmalz, Gretchen M. ; Rahr, Richard R. ; Allen, Ruth M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c248t-38a0b9766ef546bea6a1efa19be65b4c50b66a78698a418cd2a043880dbbe7e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Ability tests</topic><topic>Academic Achievement</topic><topic>Admission Criteria</topic><topic>Allied Health Occupations Education</topic><topic>Cognitive Ability</topic><topic>College Entrance Examinations</topic><topic>College students</topic><topic>Essays</topic><topic>Grade Point Average</topic><topic>Health sciences</topic><topic>Higher Education</topic><topic>Marital status</topic><topic>Occupational therapy</topic><topic>Otis Quick Scoring Mental Ability Tests</topic><topic>Physical therapy</topic><topic>Predictor Variables</topic><topic>Reading Tests</topic><topic>Science Curriculum</topic><topic>Scores</topic><topic>Selective Admission</topic><topic>Studies</topic><topic>Variables</topic><toplevel>online_resources</toplevel><creatorcontrib>Schmalz, Gretchen M.</creatorcontrib><creatorcontrib>Rahr, Richard R.</creatorcontrib><creatorcontrib>Allen, Ruth M.</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing &amp; Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Education Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database (ProQuest)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>OTJR (Thorofare, N.J.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schmalz, Gretchen M.</au><au>Rahr, Richard R.</au><au>Allen, Ruth M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ417744</ericid><atitle>The Use of Pre-Admission Data to Predict Levels of Success in Selected Allied Health Students</atitle><jtitle>OTJR (Thorofare, N.J.)</jtitle><date>1990-11</date><risdate>1990</risdate><volume>10</volume><issue>6</issue><spage>367</spage><epage>376</epage><pages>367-376</pages><issn>1539-4492</issn><issn>0276-1599</issn><eissn>1938-2383</eissn><abstract>Selecting students from an applicant pool poses a challenge for allied health educators. The admission committee must evaluate a variety of information available on each applicant to determine whether the applicant will be a successful student and complete the program. There are few predictor variables that clearly determine the applicant's probability of completing a program. In this paper the variables that were studied included entering grade point average (GPA), age, number of credits taken at a 4-year institution, sex, marital status, ethnic origin, IQ scores, and a variety of departmental-specific admission testing procedures. Several variables that were common to more than one program were studied to determine which factors would predict a student's level of academic success. Significant predictive variables were identified: Otis Quick-Scoring Mental Abilities Test, institution, cumulative GPA, and occupational therapy department admissions essay scores. These variables provide admission committees with data they could use in making admission decisions among similarly qualified applicants.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/153944929001000606</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1539-4492
ispartof OTJR (Thorofare, N.J.), 1990-11, Vol.10 (6), p.367-376
issn 1539-4492
0276-1599
1938-2383
language eng
recordid cdi_proquest_journals_910976352
source Social Science Premium Collection; ERIC; Education Collection
subjects Ability tests
Academic Achievement
Admission Criteria
Allied Health Occupations Education
Cognitive Ability
College Entrance Examinations
College students
Essays
Grade Point Average
Health sciences
Higher Education
Marital status
Occupational therapy
Otis Quick Scoring Mental Ability Tests
Physical therapy
Predictor Variables
Reading Tests
Science Curriculum
Scores
Selective Admission
Studies
Variables
title The Use of Pre-Admission Data to Predict Levels of Success in Selected Allied Health Students
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T01%3A51%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Use%20of%20Pre-Admission%20Data%20to%20Predict%20Levels%20of%20Success%20in%20Selected%20Allied%20Health%20Students&rft.jtitle=OTJR%20(Thorofare,%20N.J.)&rft.au=Schmalz,%20Gretchen%20M.&rft.date=1990-11&rft.volume=10&rft.issue=6&rft.spage=367&rft.epage=376&rft.pages=367-376&rft.issn=1539-4492&rft.eissn=1938-2383&rft_id=info:doi/10.1177/153944929001000606&rft_dat=%3Cproquest_cross%3E2537653281%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c248t-38a0b9766ef546bea6a1efa19be65b4c50b66a78698a418cd2a043880dbbe7e23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=910976352&rft_id=info:pmid/&rft_ericid=EJ417744&rft_sage_id=10.1177_153944929001000606&rfr_iscdi=true