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Price, Gary E.; And Others – 1977
This paper summarizes the research on learning style based on responses to the Learning Style Inventory by 1,836 students in grades 1 through 12. Reliability analyses are included for each sub-scale for males and females based on factors determined by factor and content analysis. The intercorrelations are included for males and females within…
Descriptors: Cognitive Style, Elementary School Students, Elementary Secondary Education, Factor Analysis
Stuart, Nina G.; Dunkelberger, J. E. – 1974
Composed entirely of statistical tables, this report documents historical change in the residential projections of Northeast Alabama youth. Comparing 1968 data with 1972 data, tabulations are presented by race (black and white), sex, and place of residence (large city, small city, town and village, open country nonfarm and farm) for the following…
Descriptors: Aspiration, Attitude Change, Blacks, Comparative Analysis
Kuvlesky, William P.; Dietrich, Katheryn Thomas – 1973
The military orientations of rural East Texas black and white high school students interviewed in 1966 were very similar; those of metropolitan and nonmetropolitan youth also did not differ much. Since then, status projections of Texas youth have been extended by adding a sample of Mexican American sophomores (1966) to compare with the East Texas…
Descriptors: Black Students, Comparative Analysis, Ethnic Groups, High School Students
Roberts, Jean; Huber, Paul – 1970
This report contains estimates of hearing levels for children 6 to 11 years of age in the United States as determined in the second cycle of the Health Examination Survey, conducted during 1963-1965. A probability sample (N=7,119) was selected to represent the 24 million children 6 to 11 years of age in the noninstitutional population. Hearing…
Descriptors: Acoustical Environment, Age Differences, Auditory Discrimination, Auditory Evaluation
Weldon, David E.; And Others – 1974
This study focused on two methodological issues by testing for discriminant validity in a multitrait-multimethod matrix which contrasted the set of estimates obtained from two methods and the "regression weights" derived from each subject's estimates from the second method. In order to change the conceptions of social behavior held by persons from…
Descriptors: Cognitive Measurement, Cognitive Processes, Concept Formation, Concept Teaching
Hauser, Robert Mason; Featherman, David L. – 1973
We have tried to address two questions: "What has been the trend of socioeconomic opportunity for black and white men in the U. S. during the past decade?" and "what has been the trend of racial discrimination in the socioeconomic achievements of black men?" Using 1962 Current Population Survey data, we estimated a simple three-equation model of…
Descriptors: Age Differences, Economic Opportunities, Educational Background, Employment Opportunities
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Hargreaves, David J.; And Others – Journal of Research in Music Education, 1995
Surveys 278 British high school students concerning musical styles preferences. Generally speaking, students rejected classical and "serious" music as they grew older. Girls exhibited acceptance of a wider range of musical styles. Includes statistical tables. (MJP)
Descriptors: Adolescent Development, Adolescents, Aesthetic Values, Age Differences
Peer reviewed Peer reviewed
Ahlgren, Andrew – American Educational Research Journal, 1975
This article is a critical rejoinder on the research and statistical methodology used to reach the findings stated in TM 501 919. (DEP)
Descriptors: Classroom Environment, Research Methodology, Rural Urban Differences, School Districts
Peer reviewed Peer reviewed
Randhawa, Bikkar S. – American Educational Research Journal, 1975
The authors of TM 501 919 have replied to the critiques raised in the article TM 501 920. The authors give the reasoning behind the statistical methodology used for their findings in TM 501 919. (DEP)
Descriptors: Classroom Environment, Research Methodology, Rural Urban Differences, School Districts
Peer reviewed Peer reviewed
Humphreys, Lloyd G.; Fleishman, Allen – Journal of Educational Psychology, 1974
Descriptors: Analysis of Variance, Factor Analysis, Individual Differences, Research Design
Quereshi, M. Y.; Widlak, Frederick W. – 1971
This study was designed to determine how the ratings of a college teacher were influenced by the sex and achievement level of the students. Sixty-seven male and 73 female undergraduates were used in the main analyses, with an additional 72 subjects in subsidiary analyses. During the first week of the course subjects were asked to rate themselves,…
Descriptors: Academic Achievement, Sex Differences, Statistical Analysis, Student Teacher Relationship
Peer reviewed Peer reviewed
Wolins, Leroy – Educational and Psychological Measurement, 1978
The concept of interval measurement in the fields of psychology and education is explored. Measurement and examples of its relationship to subsequent statistical analysis are discussed. (JKS)
Descriptors: Intelligence Quotient, Intervals, Measurement, Measurement Objectives
Breis, Gabriel Carceles – UNESCO Courier, 1972
In order to get a picture of school dropouts and repeaters in the world, UNESCO undertook in 1969 a world wide inquiry on this subject. This article presents a brief analysis of study findings, which show that access to basic education is still far from universal in the developing countries. (DM)
Descriptors: Developing Nations, Dropouts, Educational Problems, Equal Education
Peer reviewed Peer reviewed
Schonemann, Peter H.; Wang, Ming Mei – Psychometrika, 1972
A model for the analysis of paired comparison data is presented which is metric, mathematically tractable, and has an exact algebraic solution. (Authors/MB)
Descriptors: Algorithms, Individual Differences, Mathematical Models, Multidimensional Scaling
Peer reviewed Peer reviewed
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Hunt, Earl; Sternberg, Robert J. – Intelligence, 2006
We argue that the report by Templer and Arikawa contains misleading conclusions and is based upon faulty collection and analysis of data. The report fails to hold up for quality of data, statistical analysis, and the logic of science.
Descriptors: Correlation, Intelligence Quotient, Data Collection, Data Analysis
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