Alexandria Digital Research Library

Modeling the Change in PSAT Scores: A Growth Modeling Approach

Author:
Himelfarb, Igor
Degree Grantor:
University of California, Santa Barbara. Education
Degree Supervisor:
Rebecca Zwick
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2012
Issued Date:
2012
Topics:
Education, Tests and Measurements
Keywords:
Latent Growth Modeling
Standardized Test Scores
Educational Measurement
Change in Scores
PSAT
Genres:
Online resources and Dissertations, Academic
Dissertation:
Ph.D.--University of California, Santa Barbara, 2012
Description:

The Preliminary SAT/National Merit Scholarship Qualifying Test (PSAT/NMSQT) is a test jointly administrated by the College Board and National Merit Scholarship Corporation, which is used to prepare high school students for the SAT, and as initial screening for numerous scholarships (Marini, Mattern, & Shaw, 2011). Previous research has acknowledged that the PSAT/NMSQT measures student's critical reading skills, quantitative reasoning, and writing skills related to academic success in college (Camara, 1998). Therefore, there is a substantial number of students who choose to retake the test in the subsequent year. The purpose of this study was to provide information about how test scores change in each component of the test (i.e. the PSAT-CR the PSAT-M, and the PSAT-W) when students retake the PSAT as well as to explore what factor influence the change in the test scores.

Two cohorts of data were provided by the College Board--- students who graduated from high school in 2008, and in 2009. For these students, up to four testing occasions were available in the data along with numerous demographic and educational variables. Latent growth modeling (LGM) was employed to examine the trends in the individual trajectories of the PSAT-CR, the PSAT-M, and the PSAT-W. A series of unconditional models, models conditional on policy covariates, and models conditional on policy and educational covariates were fit to the data. Models assuming linear growth fit well in the PSAT-CR and the PSAT-M components of the test. The fit was less adequate for the PSAT-W. Gender and ethnicity emerged as significant predictors of the score obtained in the freshman year as well as the rate of change. The strongest educational predictor was writing ability.

Results obtained from this longitudinal research are theoretically and practically informative for understanding the magnitudes of score change in the PSAT and the processes that are behind this change. Information on score change when the test is taken repeatedly may help students, teachers, test developers and test administrators to make better-informed decisions about testing students. Moreover, this information may also help parents and counselors who advise students on how to prepare for the test and whether to retake it.

Physical Description:
1 online resource (176 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f3nv9g66
ISBN:
9781267934024
Catalog System Number:
990039503200203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Igor Himelfarb
Access: This item is restricted to on-campus access only. Please check our FAQs or contact UCSB Library staff if you need additional assistance.