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| Computer Programs | 11 |
| Probability | 11 |
| Statistical Significance | 5 |
| Hypothesis Testing | 4 |
| Analysis of Variance | 3 |
| Test Validity | 2 |
| Algorithms | 1 |
| Behavioral Science Research | 1 |
| Expectancy Tables | 1 |
| Expectation | 1 |
| Input Output | 1 |
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| Educational and Psychological… | 11 |
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Peer reviewedHofmann, Richard J. – Educational and Psychological Measurement, 1975
Descriptors: Computer Programs, Item Analysis, Probability
Peer reviewedSmith, Robert A.; And Others – Educational and Psychological Measurement, 1977
A FORTRAN computer program is described which computes F ratios and attendant probabilities for two-factor fixed effects analysis of variance designs with disproportional cell frequencies. The number of levels for each factor is limited to five and all zero values are considered to be equivalent to missing values. (Author/JKS)
Descriptors: Analysis of Variance, Computer Programs, Probability
A Program for Calculating the Exact Probability Along with Explorations of M by N Contingency Tables
Peer reviewedFleishman, Allen I. – Educational and Psychological Measurement, 1977
A computer program for testing the association of two nominal variables using Fisher's exact probability test is described. Theoretical corrections according to recent literature are made. Various methods of discovering the source of association at the cellwise level are given. (Author/JKS)
Descriptors: Computer Programs, Hypothesis Testing, Probability, Tables (Data)
Peer reviewedBedeian, Arthur G.; Armenakis, Achilles A. – Educational and Psychological Measurement, 1977
This paper provides a mathematical algorithm for Fisher's exact probability test which is adaptable to contingency tables greater than two by two, and which provides the user with an index of predictive association designed for crosstabulations of nominal level variables. (Author/JKS)
Descriptors: Computer Programs, Expectancy Tables, Hypothesis Testing, Probability
Peer reviewedParker, Randall M. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Probability, Statistical Significance
Peer reviewedAnderson, Edwin L. – Educational and Psychological Measurement, 1971
Descriptors: Computer Programs, Expectation, Mathematics, Probability
Peer reviewedTritchler, D. L.; Pedrini, D. T. – Educational and Psychological Measurement, 1975
Considered in this paper are a mathematical discussion and an algorithm, and a computer program for Fisher's test. (Author)
Descriptors: Algorithms, Computer Programs, Hypothesis Testing, Input Output
Peer reviewedWoodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1976
Describes a computer program for calculating the power of the F-test. Approach is based upon two independent approximations-- a normalization of the non-central F distribution and an integration of the normal distribution. Comparison of the calculated values of power with exact values revealed a high degree of accuracy. (Author/RC)
Descriptors: Analysis of Variance, Computer Programs, Power (Statistics), Probability
Peer reviewedDyck, Walter; Plancke-Schuyten, Gilberte – Educational and Psychological Measurement, 1976
Previous knowledge of the difficulty index and the intercorrelations of the items will allow group results to be predicted and manipulated. A compound bionomial probability function of a testscore is established for which a computer program has been written. Three item selections and the appropriate probability distributions are given which give…
Descriptors: Computer Programs, Multiple Choice Tests, Prediction, Probability
Peer reviewedLissitz, Robert W.; Halperin, Silas – Educational and Psychological Measurement, 1971
Descriptors: Behavioral Science Research, Computer Programs, Hypothesis Testing, Mathematical Models
Peer reviewedAiken, Lewis R. – Educational and Psychological Measurement, 1980
Procedures for computing content validity and consistency reliability coefficients and determining the statistical significance of these coefficients are described. Procedures employing the multinomial probability distribution for small samples and normal curve probability estimates for large samples, can be used where judgments are made on…
Descriptors: Computer Programs, Measurement Techniques, Probability, Questionnaires


