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Nathanson, Lori; Cole, Rachel; Kemple, James J.; Lent, Jessica; McCormick, Meghan; Segeritz, Micha – Online Submission, 2013
The New York City Department of Education's (DOE) annual survey of parents, students, and teachers is the largest of its kind in the United States. The DOE relies on the survey to identify schools' strengths and to target areas for improvement. School Survey scores, along with attendance, are also the only non-academic indicators used in the DOE's…
Descriptors: Validity, Urban Schools, Institutional Characteristics, School Surveys
Headrick, Todd C.; Sawilowsky, Shlomo S. – 2000
Real world data often fail to meet the underlying assumption of population normality. The Rank Transformation (RT) procedure has been recommended as an alternative to the parametric factorial analysis of Covariance (ANCOVA). The purpose of this study was to compare the Type I error and power properties of the RT ANCOVA to the parametric procedures…
Descriptors: Analysis of Covariance, Factor Analysis, Factor Structure, Nonparametric Statistics
Cole, Cornette; Schwanz, Dennis J. – 1998
This document contains two papers related to the 1993-94 Schools and Staffing Survey (SASS). The first paper documents some of the problems that were encountered during student sample selection and the methods used to resolve those problems. It also provides some suggestions to alleviate some of the problems in future SASS studies. Significant…
Descriptors: Data Collection, Elementary Secondary Education, Factor Structure, National Surveys
Abedi, Jamal – 1994
This study investigated the dimensionality of mathematics subscale scores from the National Assessment of Educational Progress for the assessment's Technical Review Panel, specifically for the data from the 1990 and 1992 main assessment in relation to students' instructional and noninstructional background variables. Discriminant analysis was…
Descriptors: Achievement Tests, Discriminant Analysis, Elementary Secondary Education, Factor Structure
Atkinson, Leslie – 1990
Three tables are provided to aid in the clinical interpretation of factor scores for the Wechsler Adult Intelligence Scale-Revised (WAIS-R; 1981). The factor structure of the WAIS-R has proven to be robust across samples, tests, time, statistical analyses, measurement scales, and distortions of the distribution. Information necessary to make…
Descriptors: Adults, Clinical Diagnosis, Diagnostic Tests, Error of Measurement