Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Multilevel item analysis of a standa...
~
Monfils, Lora Frances.
Linked to FindBook
Google Book
Amazon
博客來
Multilevel item analysis of a standards-based assessment: Using item difficulty variation to study school effects.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Multilevel item analysis of a standards-based assessment: Using item difficulty variation to study school effects./
Author:
Monfils, Lora Frances.
Description:
198 p.
Notes:
Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3217.
Contained By:
Dissertation Abstracts International65-06B.
Subject:
Psychology, Psychometrics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3134864
ISBN:
0496820893
Multilevel item analysis of a standards-based assessment: Using item difficulty variation to study school effects.
Monfils, Lora Frances.
Multilevel item analysis of a standards-based assessment: Using item difficulty variation to study school effects.
- 198 p.
Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3217.
Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick, 2004.
In this dissertation, several models for studying school variation in mathematics performance are proposed. The central innovation of this dissertation is that it estimates and analyzes such differences at the item rather than the overall score level, and further, will estimate relative item difficulty variances (between schools) that reflect value-added (or -subtracted) effects of school contexts. For this purpose, several multilevel models for item difficulty variation (IDV) and methods of residual analysis are developed that extend traditional two group methods of differential item functioning (DIF) to the analysis of school effects (Pituch, 1999; Raudenbush & Willms, 1995). By decomposing item scores into item, person, and educational context components, between-school differences in item difficulty are modeled as "natural variation" in school effectiveness (value-added) that can be used for curricular diagnosis and linked to education policy relevant school context and instructional variables. These tools for analysis are then applied to simulated data and to the New Jersey assessment results for the 2001 Elementary School Performance Assessment (ESPA) (Camilli & Monfils, 2003).
ISBN: 0496820893Subjects--Topical Terms:
1017742
Psychology, Psychometrics.
Multilevel item analysis of a standards-based assessment: Using item difficulty variation to study school effects.
LDR
:02186nmm 2200289 4500
001
1846600
005
20051103093527.5
008
130614s2004 eng d
020
$a
0496820893
035
$a
(UnM)AAI3134864
035
$a
AAI3134864
040
$a
UnM
$c
UnM
100
1
$a
Monfils, Lora Frances.
$3
818670
245
1 0
$a
Multilevel item analysis of a standards-based assessment: Using item difficulty variation to study school effects.
300
$a
198 p.
500
$a
Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3217.
500
$a
Director: Gregory Camilli.
502
$a
Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick, 2004.
520
$a
In this dissertation, several models for studying school variation in mathematics performance are proposed. The central innovation of this dissertation is that it estimates and analyzes such differences at the item rather than the overall score level, and further, will estimate relative item difficulty variances (between schools) that reflect value-added (or -subtracted) effects of school contexts. For this purpose, several multilevel models for item difficulty variation (IDV) and methods of residual analysis are developed that extend traditional two group methods of differential item functioning (DIF) to the analysis of school effects (Pituch, 1999; Raudenbush & Willms, 1995). By decomposing item scores into item, person, and educational context components, between-school differences in item difficulty are modeled as "natural variation" in school effectiveness (value-added) that can be used for curricular diagnosis and linked to education policy relevant school context and instructional variables. These tools for analysis are then applied to simulated data and to the New Jersey assessment results for the 2001 Elementary School Performance Assessment (ESPA) (Camilli & Monfils, 2003).
590
$a
School code: 0190.
650
4
$a
Psychology, Psychometrics.
$3
1017742
650
4
$a
Education, Tests and Measurements.
$3
1017589
650
4
$a
Statistics.
$3
517247
690
$a
0632
690
$a
0288
690
$a
0463
710
2 0
$a
Rutgers The State University of New Jersey - New Brunswick.
$3
1017590
773
0
$t
Dissertation Abstracts International
$g
65-06B.
790
1 0
$a
Camilli, Gregory,
$e
advisor
790
$a
0190
791
$a
Ph.D.
792
$a
2004
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3134864
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9196114
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login