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Brennan, Robert L.; Light, Richard J. – 1973
Basic to many psychological investigations is the question of agreement between observers who independently categorize people. Several recent studies have proposed measures of agreement when a set of nominal scale categories have been pre-defined and imposed on both observers. This study, in contrast, developes a measure of agreement for settings…
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Rating Scales
Ramseyer, Gary C.; Tcheng, Tse-Kia – 1972
The present study was directed at determining the extent to which the Type I Error rate is affected by violations in the basic assumptions of the q statistic. Monte Carlo methods were employed, and a variety of departures from the assumptions were examined. (Author)
Descriptors: Analysis of Variance, Confidence Testing, Hypothesis Testing, Statistical Analysis
Peer reviewed Peer reviewed
Hubert, Lawrence J.; Baker, Frank B. – Multivariate Behavioral Research, 1978
The strategy for investigating convergent and discriminant test validity, known as the multitrait-multimethod matrix, is investigated. A nonparametric significance testing procedure is suggested and demonstrated. (JKS)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Matrices
Peer reviewed Peer reviewed
Cascio, Wayne F.; Kurtines, William M. – Educational and Psychological Measurement, 1977
A test of significance for identifying individuals who are most influenced by an experimental treatment as measured by pre-post test change score is presented. The technique requires true difference scores, the reliability of obtained differences, and their standard error of measurement. (Author/JKS)
Descriptors: Error of Measurement, Measurement Techniques, Pretesting, Pretests Posttests
Peer reviewed Peer reviewed
Fagley, N. S. – Journal of Counseling Psychology, 1985
Although the primary responsibility rests with the authors of articles reporting nonsignificant results to demonstrate the worth of the results by discussing the power of the tests, consumers should be prepared to conduct their own power analyses. This article demonstrates the use of power analysis for the interpretation of nonsignificant…
Descriptors: Hypothesis Testing, Power (Statistics), Research Design, Research Methodology
Peer reviewed Peer reviewed
Zimmerman, Donald W. – Journal of Experimental Education, 1986
A computer program randomly sampled ordered pairs of scores from known populations that departed from bivariate normal form and calculated correlation coefficients from sample values. Hypotheses were tested (1) that population correlations are zero using the t statistic; and (2) that population correlations have non-zero values using the r to z…
Descriptors: Correlation, Hypothesis Testing, Sampling, Statistical Distributions
Peer reviewed Peer reviewed
Hiller, Dana V.; Philliber, William W. – Journal of Marriage and the Family, 1985
A review of articles that report study results based on couple samples indicated response rates are rarely high enough for statistical inference. Four procedures that can be used to compensate for insufficient response rates (collecting information from nonparticipants, census comparisons, adjustment in analysis, and replication) are examined.…
Descriptors: Generalization, Influences, Research Problems, Sample Size
Peer reviewed Peer reviewed
Schneider, Anne L.; Darcy, Robert E. – Evaluation Review, 1984
The normative implications of applying significance tests in evaluation research are examined. The authors conclude that evaluators often make normative decisions, based on the traditional .05 significance level in studies with small samples. Additional reporting of the magnitude of impact, the significance level, and the power of the test is…
Descriptors: Evaluation Methods, Hypothesis Testing, Research Methodology, Research Problems
Yu, Chong-Ho – Online Submission, 2005
Many research-related classes in social sciences present probability as a unified approach based upon mathematical axioms, but neglect the diversity of various probability theories and their associated philosophical assumptions. Although currently the dominant statistical and probabilistic approach is the Fisherian tradition, the use of Fisherian…
Descriptors: Probability, Inferences, Social Sciences, Statistical Significance
Hess, Brian; Olejnik, Stephen – 2001
Null hypothesis significance testing alone is not sufficient for program evaluation. To assess program impact adequately, effect sizes should be reported and interpreted in the context of similar or alternate programs. A popular effect size for the treatment-control group design has been the standardized mean difference, delta. Several estimators…
Descriptors: Effect Size, Estimation (Mathematics), Hypothesis Testing, Meta Analysis
Barnette, J. Jackson; McLean, James E. – 2000
The probabilities of attaining varying magnitudes of standardized effect sizes by chance and when protected by a 0.05 level statistical test were studied. Monte Carlo procedures were used to generate standardized effect sizes in a one-way analysis of variance situation with 2 through 5, 6, 8, and 10 groups with selected sample sizes from 5 to 500.…
Descriptors: Computer Simulation, Effect Size, Monte Carlo Methods, Probability
May, Richard B.; Konkin, Patrick R. – Educ Psychol Meas, 1970
Descriptors: Hypothesis Testing, Measurement Techniques, Nonparametric Statistics, Psychometrics
Peer reviewed Peer reviewed
Roberge, James J. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Mathematics
Edington, Eugene S. – J Psychol, 1970
Descriptors: Behavioral Science Research, Hypothesis Testing, Probability, Research Criteria
Peer reviewed Peer reviewed
Willson, Victor L. – Psychology in the Schools, 1983
Reviews a recent paper by Levy (1982) which concluded that a new format of the Peabody Picture Vocabulary Test was valid for autistic children. Claims the analysis was inappropriate and presents a statistical test to compare differences between independent mean differences. Includes a reply by Stine Levy. (Author/JAC)
Descriptors: Autism, Children, Comparative Analysis, Correlation
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