東華大學圖書館 |

語系: 繁體中文

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

Practical formulations of the Latent...

McGuire, Leah Walker.

FindBook

Google Book

Amazon

博客來

Practical formulations of the Latent Growth Item Response Model.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Practical formulations of the Latent Growth Item Response Model./
作者:	McGuire, Leah Walker.
面頁冊數:	103 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-09, Section: A, page: 3242.
Contained By:	Dissertation Abstracts International71-09A.
標題:	Education, Tests and Measurements. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3413550
ISBN:	9781124142531

Practical formulations of the Latent Growth Item Response Model.
McGuire, Leah Walker.

Practical formulations of the Latent Growth Item Response Model. - 103 p.

Source: Dissertation Abstracts International, Volume: 71-09, Section: A, page: 3242.

Thesis (Ph.D.)--University of California, Berkeley, 2010.

Growth modeling using longitudinal data seems to be a promising direction for improving the methodology associated with the accountability movement. Longitudinal modeling requires that the measurements of ability are comparable over time and on the same scale. One way to create the vertical scale is through concurrent estimation with identification of groups (Bock & Zimowski, 1997). However, there are concerns about how well this vertical scale will function using longitudinal data with few common items between years (Briggs et al., 2008). Other concerns about the adequacy of this and other vertical scaling strategies arise when the common items shift over time. This study explores these two practical issues in application of a Latent Growth Item Response model (LG-IRM). To illustrate how psychological constructs could be tracked over time, an application to psychological data is also included.

ISBN: 9781124142531Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

Practical formulations of the Latent Growth Item Response Model.
LDR:03735nam 2200349 4500 001 1403963
005 20111116122847.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124142531
035 $a (UMI)AAI3413550
035 $a AAI3413550
040 $a UMI $c UMI
100 1 $a McGuire, Leah Walker. $3 1683258
245 1 0 $a Practical formulations of the Latent Growth Item Response Model.
300 $a 103 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-09, Section: A, page: 3242.
500 $a Adviser: Mark Wilson.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2010.
520 $a Growth modeling using longitudinal data seems to be a promising direction for improving the methodology associated with the accountability movement. Longitudinal modeling requires that the measurements of ability are comparable over time and on the same scale. One way to create the vertical scale is through concurrent estimation with identification of groups (Bock & Zimowski, 1997). However, there are concerns about how well this vertical scale will function using longitudinal data with few common items between years (Briggs et al., 2008). Other concerns about the adequacy of this and other vertical scaling strategies arise when the common items shift over time. This study explores these two practical issues in application of a Latent Growth Item Response model (LG-IRM). To illustrate how psychological constructs could be tracked over time, an application to psychological data is also included.
520 $a Since the number of common items between years can be few, it is important to ensure that the growth modeling procedure can produce good estimations in this situation. A concurrent estimation procedure of the scales is examined. To verify the estimability of the growth model using concurrent estimation, a simulation study is conducted. The LG-IRM is then applied to real data from the LSAY. A study of item shifts over time is also included. Models that do not consider item shifts are compared to those that do. An extended version of the Latent Growth Item Response Model is proposed in which estimates growth parameters are produced while allowing for item shift over time.
520 $a Item Response Theory (IRT) has been applied extensively to research in education. Its use in modeling achievement and student ability has been demonstrated using various IRT model formulations. To a lesser degree IRT has also been applied to personality research. Although the conceptualization of the domain, the item types, and the measurement goals are often different in personality research, IRT tools can still provide valuable information. The LG-IRM also provides a way to explore questions in personality research. For instance, it can provide information on the stability of self-esteem in the Black population over time. In this study the Latent Growth Item Response Model is extended to include polytomous item types. The LG-IRM is then applied to data from a longitudinal study of Black Self-Esteem.
520 $a Keywords: Growth Modeling, Item Response Theory, Latent-Growth Item Response Model, Longitudinal Survey of American Youth, Measurement Invariance, National Educational Longitudinal Survey, National Survey of Black Americans, Self-Esteem, Vertical Scaling.
590 $a School code: 0028.
650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Psychology, Psychometrics. $3 1017742
690 $a 0288
690 $a 0632
710 2 $a University of California, Berkeley. $b Education. $3 1670269
773 0 $t Dissertation Abstracts International $g 71-09A.
790 1 0 $a Wilson, Mark, $e advisor
790 1 0 $a Rabe-Hesketh, Sophia $e committee member
790 1 0 $a Hubbard, Alan $e committee member
790 1 0 $a Worrell, Frank $e committee member
790 $a 0028
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3413550