Efforts to study the fidelity of translation of attitudinal scales into foreign languages have faltered due to the lack of powerful statistical tests to assess such transformations. This study uses a maximum likelihood factor analysis procedure to compare multivariate factor structures across subpopulations. The results showed that inconsistent…

The Myers-Briggs Type Indicator (MBTI) measures variations in normal personality. The validity of the measure has only recently been examined by analyses of the structure underlying MBTI responses; and these investigations have used exploratory factor analyses, rather than confirmatory factor analytic methods. A confirmatory factor analysis was…

The focus of this study is on the estimation procedures implemented in BILOG, a computer program. One purpose is to compare the item parameter estimates produced by various procedures available in BILOG. Four different models are used: the one, two, and three parameter model and a three parameter model with common guessing parameters. The results…

Formula score theory (FST) associates each multiple choice test with a linear operator and expresses all of the real functions of item response theory as linear combinations of the operator's eigenfunctions. Hard measurement problems can then often be reformulated as easier, standard mathematical problems. For example, the problem of estimating…

How accurately ability is estimated when the test model does not fit the data is considered. To address this question, this study investigated the accuracy of the maximum likelihood estimator of ability for the one-, two- and three-parameter logistic (PL) models. The models were fitted into generated item characteristic curves derived from the…

A student may be so unlike other students that his/her aptitude test score fails to be a completely appropriate measure. We consider the problem of using the student's pattern of multiple-choice aptitude test answers to decide whether his/her score is an appropriate ability measure. (Author/CTM)

The analytically derived asymptotic standard errors (SEs) of maximum likelihood (ML) item estimates can be approximated by a mathematical function without examinees' responses to test items, and the empirically determined SEs of marginal maximum likelihood estimation (MMLE)/Bayesian item estimates can be obtained when the same set of items is…

Needs assessments require staff with the necessary expertise to design the study, collect the data, analyze the data, and present results. They require money, time, and persistence, because the people one wishes to assess often are difficult to access. This article argues for the centrality of a well-done needs assessment when developing services…

This study examines the additive effect of attitudes towards gender roles and importance of marriage on the centrality of children in seven East European countries: Bulgaria, Czech Republic, the former East Germany, Hungary, Poland, Russia, and Slovenia using the data from the 1994 International Social Science Survey (ISSP). Results support…

The use of a three-parameter logistic model for applying latent trait theory has become more popular because of the availability of computer programs. The program Logist 5 can be used not only for the item parameter estimation in the three-parameter logistic model, but also in the two parameter logistic model by setting the third parameter equal…

This paper presents a new method for estimating a given latent trait variable by the least-squares approach. The beta weights are obtained recursively with the help of Fourier series and expressed as functions of item parameters of response curves. The values of the latent trait variable estimated by this method and by maximum likelihood method…

Data are summarized in Scheuneman's Score x Group x Response frequency table in order to investigate item bias. The data can arise from two different sampling models: (1) multinomial sampling in which a fixed sample size is used and the responses are cross-classified according to score, group, and response; and (2) product-multinomial sampling in…

Recent work in factor analysis of categorical variables is reviewed, emphasizing a generalized least squares solution and a maximum likelihood approach. A common factor model for dichotomous items is introduced, and the estimation of factor loadings from matrices of tetracorrelations is discussed. (LMO)

A stochastic multidimensional unfolding (MDU) procedure is presented to represent individual differences in phased or sequential decision processes spatially. A Monte Carlo analysis demonstrates estimation proficiency and the appropriateness of the proposed model selection heuristic, and an application to capture awareness, consideration, and…

Using longitudinal data on career paths of 3,941 special educators, maximum likelihood estimators are derived for the parameters of a discrete-time hazard model, and it is shown that the model can be fit using standard logistic regression software. Illustrative computer codes from the Statistical Analysis System (SAS) are offered. (SLD)