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Peer reviewedLewis, Charles; And Others – Psychometrika, 1975
A Bayesian Model II approach to the estimation of proportions in m groups is extended to obtain posterior marginal distributions for the proportions. The approach is extended to allow greater use of prior information than previously and the specification of this prior information is discussed. (Author/RC)
Descriptors: Bayesian Statistics, Data Analysis, Individualized Instruction, Models
Peer reviewedJohansson, Charles B. – Journal of Counseling Psychology, 1975
Six in-general samples have been generated to fit different developments of the SVIB, Twenty experimental homogeneous scales were used to measure the similarities and differences among the six in-general samples. Generally, all samples were strikingly similar with the greatest differences appearing between male and female in-general samples.…
Descriptors: Comparative Analysis, Interest Inventories, Item Sampling, Research Projects
Peer reviewedHamdan, M. A.; And Others – Psychometrika, 1975
Four different extensions to McNemar's problem concerning the hypothesis of equal probabilities for the unlike pairs of correlated binary variables are considered, each for testing simultaneous equality of proportions of unlike pairs in c independent populations of correlated binary variables, but each under different assumptions and/or additional…
Descriptors: Comparative Analysis, Criteria, Goodness of Fit, Hypothesis Testing
Peer reviewedHummel, Thomas J.; Feltovich, Paul J. – Multivariate Behavioral Research, 1975
Monte Carlo methods were used to investigate the robustness of techniques used in judging the magnitude of a sample correlation coefficient when observations are correlated. Empirical distributions of r, t, and Fisher's z were generated. A technique for controlling error rates in certain situations is suggested. (Author/BJG)
Descriptors: Computer Science, Correlation, Error Patterns, Monte Carlo Methods
Peer reviewedSockloff, Alan L. – Educational and Psychological Measurement, 1975
Major interest is the derivation of a mathematical formulation and a demonstration of the effects of pooling two subgroups on the total group correlation coefficient, and additionally, a procedure to guide the decision concerning the pooling of data for the purpose of calculating a single correlation coefficient. (Author/RC)
Descriptors: Correlation, Data Analysis, Heterogeneous Grouping, Mathematical Applications
Peer reviewedLawlis, G. Frank; Sweney, Arthur B. – Educational and Psychological Measurement, 1975
A method of applying the discriminant function to correlated samples was discussed for the researcher interested in utilizing multivariate statistics to pre-post data. By finding the linear combination that maximizes differences in the groups, the t-statistic can be computed for correlated samples. (Author)
Descriptors: Correlation, Discriminant Analysis, Hypothesis Testing, Longitudinal Studies
Douglass, Harl R. – J Exp Educ, 1969
Descriptors: Analysis of Variance, Hypothesis Testing, Probability, Reliability
Campbell, David P. – J Counseling Psychol, 1969
Descriptors: Classification, Criteria, Prediction, Predictive Validity
LeCompte, Margaret D.; Goetz, Judith Preissle – 1982
The problems addressed, and solutions devised, by educational ethnographers in selection of and sampling from phenomena for internal representativeness external comparison are examined. The process of sampling is designated as a specialized form of the more general process of focusing and choosing in research, which is called selection. Common…
Descriptors: Comparative Analysis, Educational Research, Ethnography, Generalization
Lucas, William A.; Adams, William C. – 1977
This report documents a methodological study conducted for the National Science Foundation to investigate the effects of different media environments on relationships between local television news viewing and local knowledge. The study serves two purposes: it establishes tne reliability of data collected in an investigation by Rand of the effects…
Descriptors: Evaluation Methods, Interviews, Research Methodology, Sampling
California State Dept. of Education, Sacramento. Research and Statistics Section. – 1964
To explore the feasibility of sample selection to predict agricultural employment, a stratified sample of 360 employers was drawn from the employers reporting employment in the Disability Insurance Program for agricultural workers in Fresno County. Month-to-month changes were examined for seven industry strata, and estimates were made by the…
Descriptors: Agricultural Laborers, Employers, Employment Patterns, Employment Statistics
Shoemaker, David M. – 1972
Investigated empirically through post mortem item-examinee sampling was the feasibility of the jackknife as a procedure for approximating standard errors of estimate in multiple matrix sampling. The parameters estimated were the mean test score, second through fourth central moments of the test score distribution, and the variance of the item…
Descriptors: Error of Measurement, Error Patterns, Item Sampling, Matrices
Ary, Donald; Karabinus, Robert – 1975
The power of a statistical test is, in part, a function of the reliability of the dependable variable being analyzed. The substitution of sigma square divided by the reliability coefficient for sigma is proposed. This enables the researcher to incorporate dependent variable reliability information when determining the sample size required for a…
Descriptors: Hypothesis Testing, Mathematical Models, Measurement Techniques, Reliability
Sirotnik, Kenneth – 1969
Significant cost savings can be achieved with the use of matrix sampling in estimating population parameters from psychometric data. The statistical design is intuitively simple, using the framework of the two-way classification analysis of variance technique. For example, the mean and variance are derived from the performance of a certain grade…
Descriptors: Analysis of Variance, Bibliographies, Literature Reviews, Psychometrics
Halderson, Judith S.; Glasnapp, Douglas R. – 1974
The primary purpose of the present study was to investigate empirically the effect of multiple hypothesis testing on error rates in factorial ANOVA designs under a variety of controlled conditions. The per comparison, per experiment, and experimentwise error rates were investigated for three hypothesis testing procedures. The specific conditions…
Descriptors: Analysis of Variance, Computer Programs, Error Patterns, Hypothesis Testing


