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Beckwith, Leila – Child Development, 1971
The present study explores the specific environmental influences in the intellectual development of 24 adoptive infants living in middle class families. (Author)
Descriptors: Child Development, Data Analysis, Environmental Influences, Infants
Peer reviewed Peer reviewed
And Others; Cannon, Frances C. – Journal of Leisure Research, 1970
Descriptors: Behavior Development, Data Analysis, Diagnostic Tests, Handicapped Children
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Zupkis, Robert V. – Reading Teacher, 1970
Descriptors: Control Groups, Data Analysis, Experimental Groups, Hypothesis Testing
Peer reviewed Peer reviewed
Yerkey, A. Neil – Journal of the American Society for Information Science, 1983
This study attempts to analyze descriptors taken from subject categories in ERIC thesaurus and used as search terms on CROSS database Bibliographic Retrieval Services. An expectation ratio was computed and cluster analysis was conducted to discover subject relationships among databases. A list of databases retrieved and 12 references are appended.…
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Data Analysis
Peer reviewed Peer reviewed
Hannafin, Michael J.; Cole, Dennis D. – AEDS Journal, 1983
High school students were surveyed to determine factors affecting elective participation in introductory computer courses. Responses were analyzed in relation to computer experience and sex of student. Results indicate significant differences in perceptions of science and math needed for entry level computer courses. (Author/MBR)
Descriptors: Computer Literacy, Computer Science Education, Data Analysis, Elective Courses
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Hofmann, Richard J.; Kerek, Andrew – Perceptual and Motor Skills, 1983
A reanalysis of data from a 1980 Miami University study on sentence-combining in freshman writing courses investigated the role of reading comprehension (measured by the Sequential Test of Educational Progress) as a predictor of growth in writing skills (measured by syntactic and qualitative criteria). (Author/PN)
Descriptors: Data Analysis, Discriminant Analysis, Higher Education, Predictor Variables
Peer reviewed Peer reviewed
Hackman, Judith Dozier – Research in Higher Education, 1983
Seven institutional research maxims based on research and theory about how people cognitively process information are discussed: more may not be better; augment humans with models; chunk data wisely; know decision-makers; heuristics are not always helpful; arrange tables by patterns; and accept negative evidence and new hypotheses. (Author/MLW)
Descriptors: Bias, Data Analysis, Data Collection, Decision Making
Peer reviewed Peer reviewed
Braun, Thomas G. – Research in Higher Education, 1983
Geographic demographic characteristics of 120 Kentucky counties were utilized to group counties with similar characteristics. ACT test results, demographic data, and enrollment data for high school graduates enrolled in Kentucky state-supported colleges were analyzed to determine whether geographic origin influenced college attendance. (Author/MLW)
Descriptors: Academic Persistence, College Attendance, College Choice, Data Analysis
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Sobal, Jeff – Library Trends, 1982
Discusses secondary data analysis and reanalysis of machine-readable data as supplements to traditional teaching methods in the social sciences, highlighting types of secondary data, levels of instructional use, housing data in archives, housing codebooks in library stacks, and contributions of archivists and librarians to teaching. Seventeen…
Descriptors: Archives, Computer Oriented Programs, Continuing Education, Data
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Feather, John – Evaluation and Program Planning: An International Journal, 1982
Three types of macro-level variables for program analysis--cultural, economic and demographic--provide a context for evaluation and offer alternative explanations for program success or failure. The problems of causality and availability of data, as well as the usefulness of macro variables in meta evaluation are discussed. (Author/CM)
Descriptors: Cultural Context, Data Analysis, Demography, Economic Factors
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Evans, Charles S. – Journal of Experimental Education, 1982
A linear regression model was used to test the relationship between the knowledge of Kohlberg's theory and moral stage development. A multiple regression analysis was used to test the multivariate relationship between one dependent and five independent variables. Neither analysis demonstrated a statistically significant relationship. (Author/PN)
Descriptors: Academic Achievement, Age, Data Analysis, Developmental Stages
Prediger, Dale J. – Vocational Guidance Quarterly, 1982
Proposes that, while there may be real sex differences in vocational interests, Gottfredson's reanalysis of Self-Directed Search predictive data provides no support for the counseling use of sex-divergent raw interest scores. (RC)
Descriptors: Career Choice, Data Analysis, Interest Inventories, Norm Referenced Tests
Peer reviewed Peer reviewed
James, Navita Cummings; McCain, Thomas A. – Journal of Broadcasting, 1982
Analysis of relationship of television content to preschool children's play based on observations at day care center reveals that television is source of content in play; television-facilitated games are not "new"; developmental differences exist in use of television content in play; use of television content in play has positive consequences.…
Descriptors: Behavior, Childrens Games, Childrens Television, Data Analysis
Peer reviewed Peer reviewed
Miller, Victor; Noell, Jay – Journal of Education Finance, 1982
Discusses problems involved in estimating federal financial support for education by the type of ultimate recipient (such as school districts or students), especially using data from recipients. Proposes a new approach based on data from federal aid-givers and applies the method to federal budget data for fiscal year 1980. (RW)
Descriptors: Data Analysis, Data Collection, Educational Finance, Federal Aid
Broekhuizen, E. H.; Frankfort, J. G. – International Journal of Institutional Management in Higher Education, 1981
Since 1975 the allocation of the academic staff at the University of Leyden has been based on a limited range of tasks and means. An allocation model for technical and administrative staff is described. Some remarks covering aspects related to the structuring of models are provided. (Author/MLW)
Descriptors: Administrators, College Administration, College Faculty, Data Analysis
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