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Lohman, Keith D. – Colo J Educ Res, 1970
Descriptors: College Students, Data Analysis, Data Collection, Identification (Psychology)
Peer reviewedStufflebeam, Daniel L. – Journal of Educational Measurement, 1971
Descriptors: Data Analysis, Educational Experiments, Evaluation Methods, Individual Differences
Peer reviewedBosco, James – Elementary School Journal, 1971
Descriptors: Data Analysis, Educational Innovation, Educational Objectives, Individualized Instruction
Peer reviewedFranklin, A. David – Journal of Research in Music Education, 1971
A survey of 493 secondary school music teachers was taken in order to determine the relationship of their teaching responsibility to their college preparation. The data was analysed to determine seven factors. (Author/MF)
Descriptors: Data Analysis, Educational Background, Music, Music Education
Peer reviewedDye, James L.; Nicely, Vincent A. – Journal of Chemical Education, 1971
Describes the structure, availability, and use of a computer program designed for a wide variety of data of curvefitting and equation-solving problems, including both linear and non-linear problems. (PR)
Descriptors: Chemistry, College Science, Computer Programs, Computers
Peer reviewedGoldstein, Irwin L.; Allen, John C. – Journal of Applied Psychology, 1971
Descriptors: Cognitive Ability, Cognitive Processes, College Students, Data Analysis
Peer reviewedSkolnick, Paul; Shaw, Jerry I. – Psychological Reports, 1970
Descriptors: College Students, Data Analysis, Measurement, Personality Theories
Peer reviewedShively, Joe E.; Asher, William – Journal of Educational Research, 1970
Descriptors: Data Analysis, Driver Education, Educational Environment, High School Seniors
Neal, Robert; King, Paul – J Counseling Psychol, 1969
Interprets College Interest Inventory, administered to 284 students, both ways, with neither method proving superior. Suggests that under restricted conditions, discriminant function might be more appropriate for counseling purposes than configural analysis. (Author/CJ)
Descriptors: Classification, College Students, Comparative Analysis, Data Analysis
Pribnow, Jack R. – Sch Sci Math, 1969
The reason for the inability of students to master the solving of word problems in algebra is identified as the failure to organize and analyse the problems. The author's approach to the solution of these problems, involving writing symbols for the unknown(s), generating equations, solving the unknown(s) and interpretation is presented through…
Descriptors: Data Analysis, Instruction, Problem Solving, Reading Comprehension
Donnell, Nicole P.; Hult, Richard – Educ Prod Rep, 1969
Results of a study on the use of social studies materials as reported by students and teachers. (NI)
Descriptors: Data Analysis, Educational Equipment, High Schools, Instructional Materials
Peer reviewedLydiat, M. – Journal of Moral Education, 1974
This article described the results of a study of children's moral judgments with the accent on the parents of some of these children. (Author/RK)
Descriptors: Children, Data Analysis, Diagrams, Moral Development
Peer reviewedClinch, Jennifer J.; Keselman, H. J. – Journal of Educational Statistics, 1982
The analysis of variance, Welch, and Brown and Forsyth tests for mean equality were compared using Monte Carlo methods. The tests' rates of Type I error and power were examined when populations were nonnormal, variances were heterogeneous, and group sizes were unequal. Recommendations for use are presented. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Data Analysis, Hypothesis Testing
Peer reviewedTakane, Yoshio – Psychometrika, 1982
A maximum likelihood estimation procedure was developed to fit weighted and unweighted additive models of conjoint data obtained by categorical rating, paired comparisons or directional ranking methods. Practical uses of the procedure are presented to demonstrate various advantages of the procedure as a statistical method. (Author/JKS)
Descriptors: Analysis of Variance, Computer Programs, Data Analysis, Maximum Likelihood Statistics
Peer reviewedSchwartz, Steven; Dalgleish, Len – Journal of Research in Personality, 1982
Statistical significance is not a sufficient condition for claiming a hypothesis has been supported. Constructive replications are more important. Statistically significant results may be meaningless while a sequence of nonsignificant results may be quite important. Gives advice on how to overcome some limitations of classifical statistical…
Descriptors: Bayesian Statistics, Data Analysis, Personality Studies, Research Methodology
