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Predictive validity of multiple meas...

Mekonnen, Adugna K.

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Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College./
Author:	Mekonnen, Adugna K.
Description:	143 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-04, Section: A, page: 1231.
Contained By:	Dissertation Abstracts International72-04A.
Subject:	Education, Community College. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3440021
ISBN:	9781124461991

Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College.
Mekonnen, Adugna K.

Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College. - 143 p.

Source: Dissertation Abstracts International, Volume: 72-04, Section: A, page: 1231.

Thesis (Ed.D.)--Morgan State University, 2010.

This study develops a multiple measure placement method (MMPM) that is comprised of predictor variables such as ACCUPLACER math (ACCM), ACCUPLACER reading (ACCR), arithmetic diagnostic test (ADT), high school grade point average (HSGPA), high school mathematics performance (HSMP), and duration since last mathematics course taken in high school (DLMC) selected on the basis of research reported in the body of literature. Data is collected from 79 participants of MAT 031(elementary algebra) and 43 participants of MAT 023 (arithmetic) courses. Multiple regression analysis showed that MMPM is a significant predictor of success in the comprehensive final examination for both MAT 031 and MAT 023. Among the six predictor variables, stepwise/forward regression analysis selected HSMP and ACCM as the best predictor variables for the comprehensive final examination of MAT 031 while ACCR and HSMP were the best predictor variables for the comprehensive final examination of MAT 023. The possible reasons for the selection of only two independent variables for the best predictor model are discussed along with recommendations for practice and future research.

ISBN: 9781124461991Subjects--Topical Terms:

1018008
Education, Community College.

Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College.
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100 1 $a Mekonnen, Adugna K. $3 1683153
245 1 0 $a Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College.
300 $a 143 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-04, Section: A, page: 1231.
500 $a Adviser: Glenda Prime.
502 $a Thesis (Ed.D.)--Morgan State University, 2010.
520 $a This study develops a multiple measure placement method (MMPM) that is comprised of predictor variables such as ACCUPLACER math (ACCM), ACCUPLACER reading (ACCR), arithmetic diagnostic test (ADT), high school grade point average (HSGPA), high school mathematics performance (HSMP), and duration since last mathematics course taken in high school (DLMC) selected on the basis of research reported in the body of literature. Data is collected from 79 participants of MAT 031(elementary algebra) and 43 participants of MAT 023 (arithmetic) courses. Multiple regression analysis showed that MMPM is a significant predictor of success in the comprehensive final examination for both MAT 031 and MAT 023. Among the six predictor variables, stepwise/forward regression analysis selected HSMP and ACCM as the best predictor variables for the comprehensive final examination of MAT 031 while ACCR and HSMP were the best predictor variables for the comprehensive final examination of MAT 023. The possible reasons for the selection of only two independent variables for the best predictor model are discussed along with recommendations for practice and future research.
590 $a School code: 0755.
650 4 $a Education, Community College. $3 1018008
650 4 $a Education, Mathematics. $3 1017588
650 4 $a Education, Tests and Measurements. $3 1017589
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710 2 $a Morgan State University. $b Mathematics and Science Education Program. $3 1683154
773 0 $t Dissertation Abstracts International $g 72-04A.
790 1 0 $a Prime, Glenda, $e advisor
790 1 0 $a Cicmanec, Karen $e committee member
790 1 0 $a Ellington, Roni $e committee member
790 $a 0755
791 $a Ed.D.
792 $a 2010
793 $a Afrikaans
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3440021