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COMPARING CROSS-CLASSIFIED GROWTH MODELS WITH AND WITHOUT THE CUMULATIVE EFFECT OF TEACHERS TO A HIERARCHICAL GROWTH MODEL ON CROSS-CLASSIFIED DATA

Daniel, Laura (2012) COMPARING CROSS-CLASSIFIED GROWTH MODELS WITH AND WITHOUT THE CUMULATIVE EFFECT OF TEACHERS TO A HIERARCHICAL GROWTH MODEL ON CROSS-CLASSIFIED DATA. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

Multilevel value-added models (VAMs) have the capability to capture the cumulative effect of students’ prior teachers while simultaneously modeling the dependency of various levels. However, some researchers question the applicability of these models because of the absence of random assignment in many applied settings. For example, students are not randomly assigned to teachers and teachers are not randomly assigned to schools. Moreover, there are several obstacles in the implementation of these models, such as cross-classified data structures and limitations in the capacities of statistical software packages. Therefore, the merits of these VAMs have come into question and so the purpose of this simulation study was to compare the performance of a cross-classified VAM with a cumulative effect of teachers to two other teacher evaluation models: a non-cumulative cross-classified model; and a hierarchical model. The most notable finding was that the teacher effect in the value-added cumulative cross-classified model was generally estimated with the least amount of bias. This cross-classified model that utilized the cumulative teacher effect also had the least amounts of error, for the random within-student effect and the random student slope. These results provide supporting evidence for the value-added cumulative cross-classified model.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Daniel, Lauralauraheatherdaniel@gmail.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairYe, Feifeifeifeiye@pitt.eduFEIFEIYE
Committee MemberKim, Kevinkhkim@pitt.eduKHKIM
Committee MemberBlock, Henryhwb@pitt.eduHWB
Committee MemberStone, Clemcas@pitt.eduCAS
Date: 21 May 2012
Date Type: Publication
Defense Date: 26 March 2012
Approval Date: 21 May 2012
Submission Date: 23 April 2012
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 128
Institution: University of Pittsburgh
Schools and Programs: School of Education > Psychology in Education
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Value added model Heirarchical linear model Cross classified random effect model
Date Deposited: 21 May 2012 18:45
Last Modified: 15 Nov 2016 13:57
URI: http://d-scholarship.pitt.edu/id/eprint/11989

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