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Showing 106 to 119 of 119 results Save | Export
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Gross, Alan L. – Psychometrika, 1990
A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)
Descriptors: Equations (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Predictive Measurement
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Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew – Psychometrika, 2004
A unifying framework for generalized multilevel structural equation modeling is introduced. The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine features of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent…
Descriptors: Psychometrics, Structural Equation Models, Item Response Theory, Predictor Variables
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Olsson, Ulf – Multivariate Behavioral Research, 1979
The paper discusses the consequences for maximum likelihood factor analysis which may follow if the observed variables are ordinal with only a few scale steps. Results indicate that classification may lead to a substantial lack of fit of the model--an erroneous indication that more factors are needed. (Author/CTM)
Descriptors: Classification, Factor Analysis, Goodness of Fit, Maximum Likelihood Statistics
Adwere-Boamah, Joseph – 1980
The development of new statistical methods of log-linear models by Leo Goodman has led to major advances in the statistical analysis of categorical data. Goodman's logit analysis, (the simplest form of log-linear models) can be applied in evaluation studies to estimate the "main effects" and "interaction effects" of categorical…
Descriptors: Attitude Measures, Elementary Secondary Education, Evaluation Methods, Mathematical Models
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Vermunt, Jeroen K. – Multivariate Behavioral Research, 2005
A well-established approach to modeling clustered data introduces random effects in the model of interest. Mixed-effects logistic regression models can be used to predict discrete outcome variables when observations are correlated. An extension of the mixed-effects logistic regression model is presented in which the dependent variable is a latent…
Descriptors: Predictor Variables, Correlation, Maximum Likelihood Statistics, Error of Measurement
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Fox, John – Structural Equation Modeling: A Multidisciplinary Journal, 2006
R is free, open-source, cooperatively developed software that implements the S statistical programming language and computing environment. The current capabilities of R are extensive, and it is in wide use, especially among statisticians. The sem package provides basic structural equation modeling facilities in R, including the ability to fit…
Descriptors: Structural Equation Models, Computer Software, Least Squares Statistics, Programming Languages
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Zwick, Rebecca; Sklar, Jeffrey C. – Journal of Educational and Behavioral Statistics, 2005
Cox (1972) proposed a discrete-time survival model that is somewhat analogous to the proportional hazards model for continuous time. Efron (1988) showed that this model can be estimated using ordinary logistic regression software, and Singer and Willett (1993) provided a detailed illustration of a particularly flexible form of the model that…
Descriptors: Error of Measurement, Regression (Statistics), Computer Software, Predictor Variables
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Sinharay, Sandip; von Davier, Matthias – ETS Research Report Series, 2005
The reporting methods used in large scale assessments such as the National Assessment of Educational Progress (NAEP) rely on a "latent regression model." The first component of the model consists of a "p"-scale IRT measurement model that defines the response probabilities on a set of cognitive items in "p" scales…
Descriptors: National Competency Tests, Regression (Statistics), Predictor Variables, Student Characteristics
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Eberhart, Nicole K.; Shih, Josephine H.; Hammen, Constance L.; Brennan, Patricia A. – Journal of Abnormal Child Psychology, 2006
This study examined sex differences in risk factors associated with adolescent depression in a large sample of boys and girls. Moderation and mediation explanatory models of the sex difference in likelihood of depression were examined. Findings indicate that the factors associated with depression in adolescent boys and girls are quite similar. All…
Descriptors: Gender Differences, Risk, Adolescents, Depression (Psychology)
King, Suzanne; Wolfle, Lee M. – 1987
A reanalysis was conducted of Saunier's research (1985) on sources of variation in the National Research Council (NRC) reputational ratings of university faculty. Saunier conducted a stepwise regression analysis using 12 predictor variables. Due to problems with multicollinearity and because of the atheoretical nature of stepwise regression,…
Descriptors: Departments, Educational Quality, Evaluation Criteria, Faculty Publishing
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Weng, Li-Jen; And Others – Educational Research Quarterly, 1988
Impacts of the parents' divorce and the student's academic potential and drug use on non-completion of high school were examined using 3 methods of structural equation modeling with latent variables. Data were collected from 706 adolescents (in grades 10 through 12). Maximum likelihood, asymptotically distribution-free, and categorical variable…
Descriptors: Academic Ability, Academic Failure, Adolescents, Comparative Analysis
Lee, Valerie E. – 1986
Hierarchical linear modeling allowed the indentification of specific school characteristics and policies which help explain the relationship between social class and minority status with mathematics achievement, the relationship between social class and minority status with mathematics course enrollment, and school means for achievement and for…
Descriptors: Academic Achievement, Attribution Theory, Bayesian Statistics, Catholic Schools
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Tai, Robert H.; Liu, Christine Qi; Fan, Xiato – Journal of the National Association for Alternative Certification, 2006
In light of shortages of mathematics and science teachers, alternative certification was introduced in the mid-1980s. This study examined the effect of alternative certification among math and science teachers who moved to a different school or left the profession. This was accomplished using the national "SASS" and "TFS"…
Descriptors: Alternative Teacher Certification, Mathematics Teachers, Science Teachers, Teacher Shortage
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Liu, Ou Lydia; Minsky, Jennifer; Ling, Guangming; Kyllonen, Patrick – ETS Research Report Series, 2007
In an effort to standardize academic application procedures, the Standardized Letter of Recommendation (SLR) was developed to capture important cognitive and noncognitive qualities of graduate school candidates. The SLR consists of seven scales ("knowledge," "analytical skills," "communication skills,"…
Descriptors: Letters (Correspondence), Graduate Students, College Applicants, Cognitive Ability
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