Response Models with Manifest Predictors

Every test or questionnaire, constructed with either classical test theory or modern IRT, is ultimately meant as a tool to do further research. Most often the test is used to evaluate treatments or therapies or to see whether the abilities underlying the test are associated to other constructs, and sometimes test scores are used to make individual predictions or decisions. Whatever the ultimate goal, the immediate interest is usually to estimate correlations between the abilities underlying the test and other important variables.

[1]  Cees A. W. Glas,et al.  The derivation of some tests for the rasch model from the multinomial distribution , 1988 .

[2]  Medha Dhurandhar On the chromatic number of a graph with two forbidden subgraphs , 1989, J. Comb. Theory, Ser. B.

[3]  S. Zeger,et al.  Multivariate Regression Analyses for Categorical Data , 1992 .

[4]  A. Albert,et al.  On the existence of maximum likelihood estimates in logistic regression models , 1984 .

[5]  E. B. Andersen,et al.  CONDITIONAL INFERENCE FOR MULTIPLE‐CHOICE QUESTIONNAIRES , 1973 .

[6]  Logit based parameter estimation in the Rasch model , 1988 .

[7]  P. Albert,et al.  Models for longitudinal data: a generalized estimating equation approach. , 1988, Biometrics.

[8]  Gerhard H. Fischer,et al.  An extension of the rating scale model with an application to the measurement of change , 1991 .

[9]  Formal statistics and informal data analysis, or why laziness should be discouraged , 1988 .

[10]  M. Kenward,et al.  Informative Drop‐Out in Longitudinal Data Analysis , 1994 .

[11]  H. Keller,et al.  Analysis of Numerical Methods , 1969 .

[12]  Gerhard H. Fischer,et al.  On the existence and uniqueness of maximum-likelihood estimates in the Rasch model , 1981 .

[13]  N. D. Verhelst,et al.  Extensions of the partial credit model , 1989 .

[14]  Calyampudi R. Rao,et al.  Linear Statistical Inference and Its Applications. , 1975 .

[15]  Cornelis A.W. Glas,et al.  A dynamic generalization of the Rasch model , 1993 .

[16]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[17]  J. Anderson Regression and Ordered Categorical Variables , 1984 .

[18]  K Y Liang,et al.  Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.

[19]  R. Prentice,et al.  Correlated binary regression with covariates specific to each binary observation. , 1988, Biometrics.

[20]  Roderick J. A. Little,et al.  Statistical Analysis with Missing Data , 1988 .

[21]  Robert J. Mislevy Exploiting auxiliary information about examinees in the estimation of item parameters , 1986 .

[22]  Aeilko H. Zwinderman,et al.  A generalized rasch model for manifest predictors , 1991 .

[23]  G. H. Fischer,et al.  Logistic latent trait models with linear constraints , 1983 .