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Meta-analysis of predictors of dental school performance
Descriptive
TitleInfo
Title
Meta-analysis of predictors of dental school performance
Name
(type = personal)
NamePart
(type = family)
DeCastro
NamePart
(type = given)
Jeanette E.
NamePart
(type = date)
1963-
DisplayForm
Jeanette DeCastro
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Penfield
NamePart
(type = given)
Douglas A.
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Douglas A. Penfield
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Chiu
NamePart
(type = given)
Chia-Yi
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Chia-Yi Chiu
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Camilli
NamePart
(type = given)
Gregory
DisplayForm
Gregory Camilli
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Holtzman
NamePart
(type = given)
Joseph M.
DisplayForm
Joseph M. Holtzman
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm
(authority = RULIB)
school
TypeOfResource
Text
Genre
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theses
OriginInfo
DateCreated
(qualifier = exact)
2012
DateOther
(qualifier = exact);
(type = degree)
2012-05
CopyrightDate
(qualifier = exact)
2012
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Accurate prediction of which candidates show the most promise of success in dental school is imperative for the candidates, the profession, and the public. Several studies suggested that predental GPAs and the Dental Admissions Test (DAT) produce a range of correlations with dental school performance measures. While there have been similarities, such as the finding by Bergman et. al., 2006 and DeBall, et. al., 2002 that the DAT’s Reading Comprehension (RC) section was a significant predictor for portions of the National Board Dental Examinations Part 1 (NBDEI), correlations were disparate. A narrative review conducted by Ranney et. al., (2005) did not apply quantitative methods and changes in the DAT and NBDE over time suggest prediction has changed as well. Ranney et. al., (2005) found extensive variation in correlations. Dental school admissions officers perceive distinctions among the GPAs of their “feeder schools,” and know that grade inflation is a greater issue at some schools than others. The DAT measures students on a common rubric. Yet, correlations of the DAT with dental school performance span from low to high. The literature is unclear as to how well and how consistently the DAT and grades predict future performance for various groups (Kramer, 1999). Improved understanding of prediction may enhance its implementation. That is what this paper attempts to do. A literature search found nine articles with data that could be used toward this purpose. This dissertation then applied two different methods of meta-analysis, one more streamlined, espoused by Rosenthal (1991), simply combined results, calculated confidence intervals and tested for heterogeneity of results. A second analysis followed the direction of Hunter & Schmidt (2004). After combining results, through a series of corrections, it produced correlations without the effects of range restriction and unreliability of measures. Across both meta-analyses methods, standardized tests were more closely associated with performance measured soon thereafter. Associations between grades and criterion increased over time. Extrapolation of results to other populations is not endorsed due to shortcomings associated with available data and methodology.
Subject
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Topic
Education
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_3933
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
x, 86 p. : ill.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Jeanette E. DeCastro
Subject
(authority = ETD-LCSH)
Topic
Dental students
Subject
(authority = ETD-LCSH)
Topic
Prediction of scholastic success
Subject
(authority = ETD-LCSH)
Topic
Dental schools
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065121
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3CF9P2K
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
DeCastro
GivenName
Jeanette
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2012-04-12 17:48:25
AssociatedEntity
Name
Jeanette DeCastro
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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899072
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