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Peer reviewedKazanas, H. C.; Miller, F. M. – Journal of Career Education, 1977
Reviews and analyzes the status of state legislation related to career education through 1977, focusing on goals, programs, administration, extent of funding, and types of legislation. Career education legislation has been enacted in sixteen states and is pending or being discussed in fourteen other states. (MF)
Descriptors: Career Education, Data Analysis, Educational Legislation, State Legislation
Peer reviewedCawkell, A. E. – Journal of the American Society for Information Science, 1978
A manual search of Journal Citation Reports provides information which would be particularly useful for librarians interested in forming special collections and difficult to obtain by other methods. (Author/MBR)
Descriptors: Citation Indexes, Data Analysis, Evaluation Methods, Periodicals
Peer reviewedGames, Paul A. – American Educational Research Journal, 1978
Marascuilo's and Levin's use of the term "nesting" to describe a statistical model, and application of the Scheffe tests on restricted sets of contrasts, is opposed. Changing the model during analysis of a complex set of data is both necessary and desirable. (Author/CP)
Descriptors: Data Analysis, Factor Analysis, Hypothesis Testing, Mathematical Models
Peer reviewedRouse, William B.; Rouse, Sandra H. – Journal of the American Society for Information Science, 1978
A library network model is reviewed and a derivation is presented that requires fewer assumptions and allows more robust representations of library networks. (Author)
Descriptors: Data Analysis, Library Networks, Mathematical Models, Performance
Peer reviewedRiedel, James A.; Dodson, Janet D. – Educational and Psychological Measurement, 1977
GURU is a computer program developed to analyze data generated by open-ended question techniques such as ECHO or other semistructured data collection techniques in which data are categorized. The program provides extensive descriptive statistics and allows extensive flexibility in comparing data. (Author/JKS)
Descriptors: Computer Programs, Data Analysis, Essay Tests, Test Interpretation
Peer reviewedDworkin, Robert H.; And Others – Developmental Psychology, 1977
Data from a longitudinal twin study of personality were analyzed for genetic influences utilizing scores from the Minnesota Multiphasic Personality Inventory and the California Psychological Inventory. (Author/JMB)
Descriptors: Data Analysis, Longitudinal Studies, Nature Nurture Controversy, Personality Studies
Peer reviewedWachs, Theodore D. – Child Development, 1987
This study of the stability of parent behaviors toward toddlers over a 3-week period used both aggregated and nonaggregated data. Comparison of stability correlations indicated higher stabilities for aggregated scores, with the level of stability increasing as scores from additional single sessions were aggregated. (PCB)
Descriptors: Data Analysis, Infants, Parent Child Relationship, Parents
Peer reviewedRoberts-Gray, Cynthia; And Others – Evaluation Review, 1987
When procedures for developing recommendations are integrated into evaluation methods, it is easier to produce useful recommendations for program improvement. (RB)
Descriptors: Action Research, Data Analysis, Evaluation Methods, Program Evaluation
Peer reviewedClark, Christopher M. – Anthropology and Education Quarterly, 1987
Questions the use of a large mainframe computer and special software to assist with data analysis. Raises the following three cautions: (1) labor and expense; (2) access and control; and (3) reductionism. (LHW)
Descriptors: Computer Software, Data Analysis, Educational Anthropology, Field Studies
Peer reviewedLarsen, Russell D. – Journal of Chemical Education, 1985
Box-and-whisker plots (which give rapid visualization of batches of data) can be effectively used to present diverse collections of data used in traditional first-year chemistry courses. Construction of box-and-whisker plots and their use with bond energy data and data on heats of formation and solution are discussed. (JN)
Descriptors: Chemistry, College Science, Data Analysis, Heat
Peer reviewedConger, Anthony J.; Ward, David G. – Educational and Psychological Measurement, 1984
Sixteen measures of reliability for two-category nominal scales are compared. Upon correcting for chance agreement, there are only five distinct indices: Fleiss's modification of A-sub-1, the phi coefficient, Cohen's kappa, and two intraclass coefficients. Recommendations for choosing an agreement index are made based on definitions, magnitude,…
Descriptors: Comparative Analysis, Correlation, Data Analysis, Mathematical Models
Peer reviewedRigbi, Zvi – Journal of Chemical Education, 1985
It is not conceivable that in a mixture or compound a component may exist in a negative ratio. Traditionally, therefore, a negative value could not be plotted on triangular coordinates. However, negative values are explicitly allowed, and the results extend the use of triangular coordinates as shown in this article. (JN)
Descriptors: Chemistry, College Science, Data Analysis, Graphs
Peer reviewedPreece, Peter F.W. – Educational and Psychological Measurement, 1983
The difference between the success rates in two treatment groups is related to the treatment-outcome correlation and the overall success rate. A new measure of effect size is proposed, which is easily calculated and interpretable in terms of the ratio of success rates in the treatment groups. (Author/BW)
Descriptors: Correlation, Data Analysis, Effect Size, Experimental Groups
Peer reviewedEdgington, Eugene S. – Journal of Educational Statistics, 1983
Randomization tests involve generating all possible assignments of subjects to treatments in order to create a distribution of possible test statistics. The use of a premutation group to enhance the understanding and utility of randomization tests is discussed. (Author/JKS)
Descriptors: Data Analysis, Nonparametric Statistics, Research Design, Statistical Distributions
Peer reviewedBerger, Michael A. – Educational Evaluation and Policy Analysis, 1983
This paper decribes the case survey method as a technique to overcome data collection problems and lack of integration of case studies. It outlines the roots of the method, distinguishes it from meta-analysis, describes the process with illustrations from an enrollment decline study, and analyzes its strengths and limitations. (BW)
Descriptors: Case Studies, Data Analysis, Declining Enrollment, Meta Analysis


