語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Predictive validity of multiple meas...
~
Mekonnen, Adugna K.
FindBook
Google Book
Amazon
博客來
Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Predictive validity of multiple measures as a placement method for developmental mathematics courses at Chesapeake College./
作者:
Mekonnen, Adugna K.
面頁冊數:
143 p.
附註:
Source: Dissertation Abstracts International, Volume: 72-04, Section: A, page: 1231.
Contained By:
Dissertation Abstracts International72-04A.
標題:
Education, Community College. -
電子資源:
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.
LDR
:02236nam 2200325 4500
001
1403869
005
20111114142559.5
008
130515s2010 ||||||||||||||||| ||||| d
020
$a
9781124461991
035
$a
(UMI)AAI3440021
035
$a
AAI3440021
040
$a
UMI
$c
UMI
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
690
$a
0275
690
$a
0280
690
$a
0288
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
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9167008
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入