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Hardiman, George W.; And Others – Art Education, 1975
The purpose of this survey was to gather the opinions of a group of randomly selected members of the National Art Education Association (NAEA) regarding the quality of graduate programs in art education. (Author)
Descriptors: Art Education, Data Analysis, Data Collection, Graduate Study
Peer reviewed Peer reviewed
Farley, Frank H.; Cohen, Arie – Journal of Genetic Psychology, 1975
Criticizes studies of egocentric development in children using cutaneous perception procedures. Also questions study contribution to the understanding of the development of decentering. (Author/SDH)
Descriptors: Data Analysis, Developmental Psychology, Egocentrism, Laboratory Procedures
Peer reviewed Peer reviewed
Zarinsky, Irma – Adolescence, 1975
Article considered the psychological problems faced by adolescents in accepting a donor kidney as a means of extending their own lives. (RK)
Descriptors: Adolescents, Data Analysis, Physical Health, Problem Solving
Peer reviewed Peer reviewed
Cascio, Wayne F. – Personnel Psychology, 1974
Article investigated managerial decision making and the cultural differences in preferences for decision making styles. (Author/RK)
Descriptors: Cultural Differences, Data Analysis, Management Development, Participative Decision Making
Peer reviewed Peer reviewed
Heim, A. W.; And Others – British Journal of Psychology, 1974
Article investigated two new, parallel, multiple-choice group tests of reasoning, suitable for literate subjects from 10 years to adulthood. (Author/RK)
Descriptors: Age, Data Analysis, Educational Testing, Intelligence Tests
Peer reviewed Peer reviewed
Schutz, Will – Journal of Humanistic Psychology, 1975
Author severely criticized a book on encounter groups by Lieberman, Yalom, and Miles (1973) and stated that it was a methodological morass, theroetically obsolescent, and almost totally unjustified in its conclusions. (Author/RK)
Descriptors: Control Groups, Critical Thinking, Data Analysis, Experimental Groups
Rhine, Sherrie L. W.; Parker, Darrell F. – 1989
Economists use nonrandom sampling and self-selectivity models to analyze a variety of issues. Individuals are not homogeneous and self-select into those alternatives where they have a comparative advantage. Examples where self-selection models have been applied include analyzing schooling, labor supply, and career choices. A student's…
Descriptors: Background, Course Selection (Students), Data Analysis, Economics
L'Hommedieu, Randi; And Others – 1987
Some of the frustrations inherent in trying to incorporate qualifications of statistical results into meta-analysis are reviewed, and some solutions are proposed to prevent the loss of information in meta-analytic reports. The validity of a meta-analysis depends on several factors, including the: thoroughness of the literature search; selection of…
Descriptors: Data Analysis, Literature Reviews, Meta Analysis, Research Methodology
Texas State Library, Austin. Dept. of Library Development. – 1986
Designed to provide librarians, library administrators, and other interested persons with information organized to facilitate comparisons of libraries within the same library system, with comparable service populations, and with comparable expenditures, this publication contains information derived from the 1985 Annual Report/System Membership…
Descriptors: Data Analysis, Library Expenditures, Library Statistics, Public Libraries
Adams, Kay A. – 1982
The first step in aggregating qualitative data is to establish parameters for cross site analysis. Establishing parameters should include: (1) building a conceptual framework, (2) defining units of analysis, (3) developing core questions, and (4) establishing guidelines for handling unique features in each site. Two basic approaches to analyzing…
Descriptors: Content Analysis, Data Analysis, Guidelines, Research Methodology
Smith, Kay Slavin – 1986
The paper is the fifth of a series of working papers developed by a project which conducted a cooperative study of existing student study team (SST) processes in nine California special education local plan areas. The working papers augment the final report by providing detailed descriptions of the methods used and the preliminary findings. This…
Descriptors: Classification, Data Analysis, Disabilities, Elementary Secondary Education
Krakower, Jack Y. – 1984
Three factors are considered that contribute to the perception that the higher education research effort has done a poor job in dealing with problems confronting academe. The first factor is the magnitude of the higher education enterprise and the number of problems and issues inherent in it. The second factor is the level of support for research,…
Descriptors: Data Analysis, Educational Research, Higher Education, Institutional Research
Kosslyn, Stephen M. – 1987
The technique developed in this research paper for analyzing the information in charts and graphs is designed to reveal design flaws in the display that may prevent them from conveying information effectively. This analytic scheme requires isolating four types of constituents in a display and specifying their structure and interrelations at the…
Descriptors: Charts, Cognitive Processes, Data Analysis, Evaluation Criteria
Johnson, Eugene – 1988
The special characteristics of the data from the National Assessment of Educational Progress (NAEP) that affect the validity of conventional techniques of statistical analysis are considered. In contrast to the assumptions underlying standard methods of statistical analysis, the NAEP samples are obtained via a stratified multi-stage probability…
Descriptors: Achievement Tests, Data Analysis, Elementary Secondary Education, Mathematics Tests
York, John D. – 1987
Evaluators who perform formative evaluations would be well served to apprise themselves of recent survey research in framing formative evaluations. Illustrative examples are used from research into such diverse areas of activity as: the development of identities attached to different forms of modern rock and roll; the rationales that juvenile…
Descriptors: Data Analysis, Evaluation Methods, Evaluators, Formative Evaluation
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