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Webster, William J.; Mendro, Robert L.; Orsak, Timothy H.; Weerasinghe, Dash – 1998
This paper provides a concise summary of 10 years of research into defining appropriate statistical models for estimating school and teacher effect on student learning and other important educational outcomes. It discusses criteria for judging models and presents the formulae for the two-stage, two-level student-school hierarchical linear modeling…
Descriptors: Elementary Secondary Education, Estimation (Mathematics), Mathematical Models, School Effectiveness

Widaman, Keith F. – Multivariate Behavioral Research, 1993
Across conditions, differences between population parameters defined by common factor analysis and component analysis are demonstrated. Implications for data analytic and theoretical issues related to choice of analytic model are discussed. Results suggest that principal components analysis should not be used to obtain parameters reflecting latent…
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Factor Analysis
Lord, Frederic M. – 1984
There are currently three main approaches to parameter estimation in item response theory (IRT): (1) joint maximum likelihood, exemplified by LOGIST, yielding maximum likelihood estimates; (2) marginal maximum likelihood, exemplified by BILOG, yielding maximum likelihood estimates of item parameters (ability parameters can be estimated…
Descriptors: Bayesian Statistics, Comparative Analysis, Estimation (Mathematics), Latent Trait Theory

Mueller, Ralph O. – Structural Equation Modeling, 1997
Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)
Descriptors: Computer Software, Estimation (Mathematics), Goodness of Fit, Identification

Friedman, Lynn – Review of Educational Research, 1989
A meta-analysis of studies conducted between 1974 and mid-1987 on sex differences in mathematical tasks is presented. Methods used include estimations of: (1) parameters for a random effects model, and (2) coefficients for a linear-regression equation, all based on effect sizes calculated from each study. Differences have been decreasing. (TJH)
Descriptors: Effect Size, Elementary Secondary Education, Estimation (Mathematics), Mathematical Models
Engelen, R. J. H. – 1987
A short review of the different estimation procedures that have been used in association with the Rasch model is provided. These procedures include joint, conditional, and marginal maximum likelihood methods; Bayesian methods; minimum chi-square methods; and paired comparison estimation. A comparison of the marginal maximum likelihood estimation…
Descriptors: Bayesian Statistics, Chi Square, Comparative Analysis, Estimation (Mathematics)
Junker, Brian W.; And Others – 1991
Some item response theory (IRT) techniques work in applications even though the usual structural IRT assumptions, and local independence (LI) in particular, do not hold. When the departure from LI is too great, traditional procedures will break down. Although violations of strictly unidimensional, monotone, locally independent latent structure can…
Descriptors: Ability, Equations (Mathematics), Estimation (Mathematics), Item Response Theory

Hedges, Larry V. – Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (metanalysis) has a long history, with work mainly divided into tests of the statistical significance of combined results and methods for combining estimates across studies. Methods of metanalysis and their applications are reviewed. (SLD)
Descriptors: Chi Square, Educational Research, Effect Size, Estimation (Mathematics)

Kranzler, John H.; Jensen, Arthur R. – Intelligence, 1989
A meta-analysis of research on the relationship between inspection time (IT) and IQ was performed. The analysis was designed to determine whether a non-zero relationship between IT and IQ exists, estimate the size of this relationship, and test whether IT is ontogenetically related to "g" (intelligence). (TJH)
Descriptors: Adults, Age Differences, Child Development, Children

McArdle, J. Jack – Multivariate Behavioral Research, 1984
The many methodological contributions of Raymond B. Cattell to multivariate analysis are discussed in terms of contemporary issues in structural equation modeling. His factor analytic approach is compared with current modeling practices. A critical evaluation finds much of Cattell's work still innovative, technically advanced, and valuable to…
Descriptors: Analysis of Variance, Comparative Analysis, Estimation (Mathematics), Evaluation