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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
Evans, Victoria P. – 1999
The central objective of factor analysis is to explain the greatest amount of variance in a data set with the smallest number of factors. Higher-order analysis is an invaluable tool that offers the benefit of parsimony provided by first-order analysis with the opportunity to make data-based generalizations beyond the first-order. Higher-order…
Descriptors: Computer Software, Factor Analysis, Factor Structure, Social Science Research
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
Weiss, David J.; Suhadolnik, Debra – 1982
The present monte carlo simulation study was designed to examine the effects of multidimensionality during the administration of computerized adaptive testing (CAT). It was assumed that multidimensionality existed in the individuals to whom test items were being administered, i.e., that the correct or incorrect responses given by an individual…
Descriptors: Adaptive Testing, Computer Assisted Testing, Factor Structure, Latent Trait Theory
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

Kleban, Morton H. – 1978
Q-type factor analysis was used to re-analyze baseline data collected in 1957, on 47 men aged 65-91. Q-type analysis is the use of factor methods to study persons rather than tests. Although 550 variables were originally studied involving psychiatry, medicine, cerebral metabolism and chemistry, personality, audiometry, dichotic and diotic memory,…
Descriptors: Biological Influences, Data Analysis, Factor Analysis, Factor Structure
Harris, Sandra M.; Halpin, Glennelle – 1999
The purpose of this study was to investigate the factor structure of a Factors Influencing Pursuit of Higher Education (FIPHE) Questionnaire which addresses factors influencing a person's decision to pursue higher education. Researchers used a literature-based, rational factors approach to develop the questionnaire; the three-part study included a…
Descriptors: College Bound Students, Construct Validity, Educational Research, Expectation