TAILOR, a FORTRAN computer program for tailored testing, is described. The procedure for a joint ordering of persons and items with no pretesting as the basis for the tailored test is given, and a brief discussion of the computer program is included. (Author/JKS)

An interactive computer program for tailored testing, called TAILOR, is presented. The program runs on the APL system. A cumulative file for each examinee is established and tests are then tailored to each examinee; extensive pretesting is not necessary. (JKS)

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)

A set of computer programs, which performs necessary item analysis and related procedures for developing new scales for the Minnesota Multiphasic Personality Inventory, is described. (Author/JKS)

A FORTRAN program for maximizing and cross-validating split-half reliability coefficients is described. Externally computed arrays of item means and covariances are used as input for each of two samples. The user may select a number of subsets from the complete set of items for analysis in a single run. (Author/JKS)

A FORTRAN program, GAMMA, computes Goodman and Kruskal's coefficient of ordinal association, gamma, and Somer's coefficient. The program also provides associated standard errors, standard scores, and probability values. (Author/JKS)

DSYSTM is an interactive computer program designed to perform a linear-graph analysis of contingency table data. The program is especially suitable for the analysis of change models. (Author/JKS)

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)

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)

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…

The theoretical background underlying the mathematical development of different measures of the degree of attitudinal polarization applicable to bipolar questions and a Fortran IV computer program that provides a rapid means for calculation of four of those measures are presented. (Author/JKS)

A Fortran IV computer program is presented which will unambiguously partition the explained variance of a dependent variable into those parts due uniquely to each independent variable and to all possible combinations of independent variables through commonality analysis. Tests of significance and documentation are provided. (Author/JKS)

Description of a computer program performing rotated canonical variate analysis was presented. The program is compatible with the IBM Scientific Subroutines Package. Examples of rotated and unrotated solutions of a sample problem were given, together with their interpretations illustrating the advantages of the rotated solution. (Author)

A Fortran IV program which computes either of the coefficients of congruence (psi or phi) used in comparison of factors in factor analysis is presented. Output consists of a non-symmetric matrix of factor coefficients. Listings of the program, results and test data are available. (Author/JKS)

A Fortran program is presented for discriminant analysis of discrete variables. The program assumes discrete, nominal data with no distributional, variance-covariance assumptions. The program handles a maximum of fifty predictor variables and twelve outcome groups. (Author/JKS)