Predicting medical specialty choice: a model based on students' records

A discriminant analysis of objective and subjective measures from the records of 628 students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. The au...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of medical education 1984-01, Vol.59 (5), p.407
Hauptverfasser:	Fadem, B H, Nicolich, M J, Simring, S S, Dauber, M H, Bullock, L A
Format:	Artikel
Sprache:	eng
Schlagworte:	Career Choice Certification College Admission Test Female Humans Male Medicine Models, Theoretical Personality Sex Factors Specialization Students, Medical - psychology
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue	5
container_start_page	407
container_title	Journal of medical education
container_volume	59
creator	Fadem, B H Nicolich, M J Simring, S S Dauber, M H Bullock, L A
description	A discriminant analysis of objective and subjective measures from the records of 628 students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. The authors found that National Board of Medical Examiners Part II examination scores, sex, race, grades given by preceptors, and a score derived from narrative comments by preceptors during clinical experiences in psychiatry contained information for predicting such a choice. With this model, the correct prediction rate for all specialties was 41 percent. The correct prediction rate for individual specialties ranged from a low of 28 percent for family practice to a high of 68 percent for psychiatry.
format	Article
fullrecord	<record><control><sourceid>pubmed</sourceid><recordid>TN_cdi_pubmed_primary_6716431</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>6716431</sourcerecordid><originalsourceid>FETCH-LOGICAL-p245t-c214216ad3c4beeababa70e481710a5c95a9893bbd2a966d8e4aed52f7c2a0a33</originalsourceid><addsrcrecordid>eNotj7tOAzEURF2AQgh8ApI7qpXs69cuHYogIEWCAuro2r4Bo33Jdor8PUFEU8ypRmcu2FIIgAaMc1fsupQfIZQzQizYwjpptZJLtnnPFFOoafziwx9hz8tMIWFfjzx8TynQA0c-TJF67rFQ5NPISz1EGmu555nClGO5YZd77AvdnnvFPp-fPtYvzfZt87p-3DYzaFObAFKDtBhV0J4I_SlOkG6lkwJN6Ax2bae8j4CdtbEljRQN7F0AFKjUit39784Hf_LdzTkNmI-78yH1Cy6rRtc</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Predicting medical specialty choice: a model based on students' records</title><source>MEDLINE</source><source>Journals@Ovid Complete</source><source>Alma/SFX Local Collection</source><creator>Fadem, B H ; Nicolich, M J ; Simring, S S ; Dauber, M H ; Bullock, L A</creator><creatorcontrib>Fadem, B H ; Nicolich, M J ; Simring, S S ; Dauber, M H ; Bullock, L A</creatorcontrib><description>A discriminant analysis of objective and subjective measures from the records of 628 students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. The authors found that National Board of Medical Examiners Part II examination scores, sex, race, grades given by preceptors, and a score derived from narrative comments by preceptors during clinical experiences in psychiatry contained information for predicting such a choice. With this model, the correct prediction rate for all specialties was 41 percent. The correct prediction rate for individual specialties ranged from a low of 28 percent for family practice to a high of 68 percent for psychiatry.</description><identifier>ISSN: 0022-2577</identifier><identifier>PMID: 6716431</identifier><language>eng</language><publisher>United States</publisher><subject>Career Choice ; Certification ; College Admission Test ; Female ; Humans ; Male ; Medicine ; Models, Theoretical ; Personality ; Sex Factors ; Specialization ; Students, Medical - psychology</subject><ispartof>Journal of medical education, 1984-01, Vol.59 (5), p.407</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/6716431$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fadem, B H</creatorcontrib><creatorcontrib>Nicolich, M J</creatorcontrib><creatorcontrib>Simring, S S</creatorcontrib><creatorcontrib>Dauber, M H</creatorcontrib><creatorcontrib>Bullock, L A</creatorcontrib><title>Predicting medical specialty choice: a model based on students' records</title><title>Journal of medical education</title><addtitle>J Med Educ</addtitle><description>A discriminant analysis of objective and subjective measures from the records of 628 students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. The authors found that National Board of Medical Examiners Part II examination scores, sex, race, grades given by preceptors, and a score derived from narrative comments by preceptors during clinical experiences in psychiatry contained information for predicting such a choice. With this model, the correct prediction rate for all specialties was 41 percent. The correct prediction rate for individual specialties ranged from a low of 28 percent for family practice to a high of 68 percent for psychiatry.</description><subject>Career Choice</subject><subject>Certification</subject><subject>College Admission Test</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Models, Theoretical</subject><subject>Personality</subject><subject>Sex Factors</subject><subject>Specialization</subject><subject>Students, Medical - psychology</subject><issn>0022-2577</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1984</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNotj7tOAzEURF2AQgh8ApI7qpXs69cuHYogIEWCAuro2r4Bo33Jdor8PUFEU8ypRmcu2FIIgAaMc1fsupQfIZQzQizYwjpptZJLtnnPFFOoafziwx9hz8tMIWFfjzx8TynQA0c-TJF67rFQ5NPISz1EGmu555nClGO5YZd77AvdnnvFPp-fPtYvzfZt87p-3DYzaFObAFKDtBhV0J4I_SlOkG6lkwJN6Ax2bae8j4CdtbEljRQN7F0AFKjUit39784Hf_LdzTkNmI-78yH1Cy6rRtc</recordid><startdate>19840101</startdate><enddate>19840101</enddate><creator>Fadem, B H</creator><creator>Nicolich, M J</creator><creator>Simring, S S</creator><creator>Dauber, M H</creator><creator>Bullock, L A</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>19840101</creationdate><title>Predicting medical specialty choice: a model based on students' records</title><author>Fadem, B H ; Nicolich, M J ; Simring, S S ; Dauber, M H ; Bullock, L A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p245t-c214216ad3c4beeababa70e481710a5c95a9893bbd2a966d8e4aed52f7c2a0a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1984</creationdate><topic>Career Choice</topic><topic>Certification</topic><topic>College Admission Test</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Models, Theoretical</topic><topic>Personality</topic><topic>Sex Factors</topic><topic>Specialization</topic><topic>Students, Medical - psychology</topic><toplevel>online_resources</toplevel><creatorcontrib>Fadem, B H</creatorcontrib><creatorcontrib>Nicolich, M J</creatorcontrib><creatorcontrib>Simring, S S</creatorcontrib><creatorcontrib>Dauber, M H</creatorcontrib><creatorcontrib>Bullock, L A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>Journal of medical education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fadem, B H</au><au>Nicolich, M J</au><au>Simring, S S</au><au>Dauber, M H</au><au>Bullock, L A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting medical specialty choice: a model based on students' records</atitle><jtitle>Journal of medical education</jtitle><addtitle>J Med Educ</addtitle><date>1984-01-01</date><risdate>1984</risdate><volume>59</volume><issue>5</issue><spage>407</spage><pages>407-</pages><issn>0022-2577</issn><abstract>A discriminant analysis of objective and subjective measures from the records of 628 students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. The authors found that National Board of Medical Examiners Part II examination scores, sex, race, grades given by preceptors, and a score derived from narrative comments by preceptors during clinical experiences in psychiatry contained information for predicting such a choice. With this model, the correct prediction rate for all specialties was 41 percent. The correct prediction rate for individual specialties ranged from a low of 28 percent for family practice to a high of 68 percent for psychiatry.</abstract><cop>United States</cop><pmid>6716431</pmid></addata></record>
fulltext	fulltext
identifier	ISSN: 0022-2577
ispartof	Journal of medical education, 1984-01, Vol.59 (5), p.407
issn	0022-2577
language	eng
recordid	cdi_pubmed_primary_6716431
source	MEDLINE; Journals@Ovid Complete; Alma/SFX Local Collection
subjects	Career Choice Certification College Admission Test Female Humans Male Medicine Models, Theoretical Personality Sex Factors Specialization Students, Medical - psychology
title	Predicting medical specialty choice: a model based on students' records
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T10%3A17%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmed&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predicting%20medical%20specialty%20choice:%20a%20model%20based%20on%20students'%20records&rft.jtitle=Journal%20of%20medical%20education&rft.au=Fadem,%20B%20H&rft.date=1984-01-01&rft.volume=59&rft.issue=5&rft.spage=407&rft.pages=407-&rft.issn=0022-2577&rft_id=info:doi/&rft_dat=%3Cpubmed%3E6716431%3C/pubmed%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/6716431&rfr_iscdi=true