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Hofacker, Charles F. – Multivariate Behavioral Research, 1984
An alternative for analyzing responses to Likert Scales is proposed, using additive conjoint measurement. It assumes that subjects can report their attitudes toward stimuli in rank order. Neither within-subject nor between-subject distributional assumptions are made. Nevertheless, interval level stimulus values and response category boundaries are…
Descriptors: Attitude Measures, Mathematical Models, Responses, Statistical Analysis
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Bloxom, Bruce – Psychometrika, 1985
A constrained quadratic spline is proposed as an estimator of the hazard function of a random variable. A maximum penalized likelihood procedure is used to fit the estimator to a sample of psychological response times. (Author/LMO)
Descriptors: Estimation (Mathematics), Goodness of Fit, Mathematical Models, Maximum Likelihood Statistics
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Mislevy, Robert J. – Psychometrika, 1984
Assuming vectors of item responses depend on ability through a fully specified item response model, this paper presents maximum likelihood equations for estimating the population parameters without estimating an ability parameter for each subject. Asymptotic standard errors, tests of fit, computing approximations, and details of four special cases…
Descriptors: Bayesian Statistics, Estimation (Mathematics), Goodness of Fit, Latent Trait Theory