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Nathanson, Lori; Cole, Rachel; Kemple, James J.; Lent, Jessica; McCormick, Meghan; Segeritz, Micha – Research Alliance for New York City Schools, 2013
The Research Alliance for New York City Schools examined Department of Education (DOE) School Survey data from 2008-2010 to better understand the richness and complexities of the information elicited by the Survey from parents, students, and teachers. This document provides the appendices to the technical report "New York City School Survey…
Descriptors: School Surveys, Scores, Response Rates (Questionnaires), Institutional Characteristics
Pena, Deagelia M. – 1994
The multiplicity of variables describing the financial conditions of postsecondary institutions makes it difficult to assess changes in higher education finance from year to year and to find the relationship between these finance variables and average faculty salaries. This study sought to determine if a small number of factors could be derived to…
Descriptors: Budgets, College Faculty, Educational Finance, Factor Analysis
Ray, George B. – 1980
A study sought to determine what relationships existed between speech rate, speech pitch variation, speech loudness, and the personality assessments made by listeners. The subjects, 214 undergraduate speech communication students, listened to one of eight tape recordings made by a male speaker to represent all the combinations of the three…
Descriptors: Communication Research, Correlation, Factor Analysis, Higher Education

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