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The Florida Comprehensive Assessment Test (FCAT) and the Predictive Utility of the PSAT for FCAT Preparedness

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Date Issued:
2007
Summary:
In the years since the establishment of the Florida Comprehensive Assessment test (FCAT) in 1998, the Florida public school districts have had little standardized, diagnostic data to assist in preparation for the FCA T. The FCAT serves as a high-stakes assessment for students as a graduation requirement, and it serves as a high-stakes assessment for school and district accountability for the Florida A++ Plan, and for national accountability within No Child Left Behind Act, 2001. A quantitative study was conducted to determine if the College Board's Preliminary Scholastic Achievement Test, PSAT/NMSQT®, could be used to predict scores on the FCAT. More than 11 ,000 student test records ofBroward County public school lOth graders were used for this study. Predictive discriminant analyses were conducted using the October 2003 PSAT/NMSQT® and the March 2004 FCAT scores. Three contextual variables: gender, race/ethnicity, and socioeconomics were used to determine if the variables moderate the ability of the PSAT in classifying the students as passing the FCAT. The study found the percent of the groups correctly classified for predicting FCAT Reading from the PSAT Verbal scores for all subjects and each contextual variable ranged from 75 percent to 78.70 percent. The accuracy for the PSAT Verbal predicting failing the FCAT Reading for all of the subjects was at 84.50 percent, and the accuracy for PSAT Verbal predicting passing the FCAT Reading was at 71.40 percent. The study also found the percent of the groups correctly classified for predicting FCAT Math from PSAT Math scores for all subjects and each contextual variable ranged from 72.40 % to 76.00 percent. The accuracy for the PSAT Math predicting failing the FCAT Math for all subjects was at 89.70 percent and the accuracy for PSAT Math predicting passing the FCAT Math for all subjects was at 70.90 percent. The model in this study has proven to be successful in predicting FCAT success through the use of the PSAT scores. Recommendations for educators, both district and school staff, include exploring optimum utilization of available data through the PSAT, and optimum utilization of the PSAT score reports for direct intervention with students.
Title: The Florida Comprehensive Assessment Test (FCAT) and the Predictive Utility of the PSAT for FCAT Preparedness.
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Name(s): Beard, Bernadine E. Dorantes, author
Bryan, Valerie, Thesis advisor
Florida Atlantic University, Degree grantor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2007
Date Issued: 2007
Publisher: Florida Atlantic University
Physical Form: application/pdf
Extent: 136 p.
Language(s): English
Summary: In the years since the establishment of the Florida Comprehensive Assessment test (FCAT) in 1998, the Florida public school districts have had little standardized, diagnostic data to assist in preparation for the FCA T. The FCAT serves as a high-stakes assessment for students as a graduation requirement, and it serves as a high-stakes assessment for school and district accountability for the Florida A++ Plan, and for national accountability within No Child Left Behind Act, 2001. A quantitative study was conducted to determine if the College Board's Preliminary Scholastic Achievement Test, PSAT/NMSQT®, could be used to predict scores on the FCAT. More than 11 ,000 student test records ofBroward County public school lOth graders were used for this study. Predictive discriminant analyses were conducted using the October 2003 PSAT/NMSQT® and the March 2004 FCAT scores. Three contextual variables: gender, race/ethnicity, and socioeconomics were used to determine if the variables moderate the ability of the PSAT in classifying the students as passing the FCAT. The study found the percent of the groups correctly classified for predicting FCAT Reading from the PSAT Verbal scores for all subjects and each contextual variable ranged from 75 percent to 78.70 percent. The accuracy for the PSAT Verbal predicting failing the FCAT Reading for all of the subjects was at 84.50 percent, and the accuracy for PSAT Verbal predicting passing the FCAT Reading was at 71.40 percent. The study also found the percent of the groups correctly classified for predicting FCAT Math from PSAT Math scores for all subjects and each contextual variable ranged from 72.40 % to 76.00 percent. The accuracy for the PSAT Math predicting failing the FCAT Math for all subjects was at 89.70 percent and the accuracy for PSAT Math predicting passing the FCAT Math for all subjects was at 70.90 percent. The model in this study has proven to be successful in predicting FCAT success through the use of the PSAT scores. Recommendations for educators, both district and school staff, include exploring optimum utilization of available data through the PSAT, and optimum utilization of the PSAT score reports for direct intervention with students.
Identifier: FA00000649 (IID)
Degree granted: Thesis (Ed.D.)--Florida Atlantic University, 2007
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Includes bibliography.
College of Education
Subject(s): Florida Comprehensive Assessment Test
Educational tests and measurements--Florida--Evaluation
PSAT (Educational test)--Evaluation
Examinations--Scoring--Statistics
Academic achievement--Florida--Evaluation
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00000649
Restrictions on Access: All rights reserved by the source institution
Restrictions on Access: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder
Restrictions on Access: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.