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Scheines, Richard; Hoijtink, Herbert; Boomsma, Anne – Psychometrika, 1999
Explains how the Gibbs sampler can be applied to obtain a sample from the posterior distribution over the parameters of a structural equation model. Presents statistics to use to summarize marginal posterior densities and model checks using posterior predictive p-values. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Sampling, Structural Equation Models
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Coenders, Germa; Saris, Willem E.; Batista-Foguet, Joan M.; Andreenkova, Anna – Structural Equation Modeling, 1999
Illustrates that sampling variance can be very large when a three-wave quasi simplex model is used to obtain reliability estimates. Also shows that, for the reliability parameter to be identified, the model assumes a Markov process. These problems are evaluated with both real and Monte Carlo data. (SLD)
Descriptors: Estimation (Mathematics), Markov Processes, Monte Carlo Methods, Reliability
Lewis, Charla P. – 1999
The sampling distribution is a common source of misuse and misunderstanding in the study of statistics. The sampling distribution, underlying distribution, and the Central Limit Theorem are all interconnected in defining and explaining the proper use of the sampling distribution of various statistics. The sampling distribution of a statistic is…
Descriptors: Estimation (Mathematics), Probability, Sample Size, Sampling
Kaufman, Steven – 1998
In large multipurpose surveys, it is common to select the sample systematically proportional to some measure of size (PPS) that is correlated with an important variable of interest. Assuming the frame is sorted in a useful deterministic manner, systematic sample methodologies provide an additional control on the sample allocation, beyond the…
Descriptors: Elementary Secondary Education, Estimation (Mathematics), National Surveys, Research Methodology
Rennie, Kimberly M. – 1997
This paper explains the underlying assumptions of the sampling distribution and its role in significance testing. To compute statistical significance, estimates of population parameters must be obtained so that only one sampling distribution is defined. A sampling distribution is the underlying distribution of a statistic. Sampling distributions…
Descriptors: Analysis of Variance, Estimation (Mathematics), Sample Size, Sampling
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Maris, Gunter; Maris, Eric – Psychometrika, 2002
Introduces a new technique for estimating the parameters of models with continuous latent data. To streamline presentation of this Markov Chain Monte Carlo (MCMC) method, the Rasch model is used. Also introduces a new sampling-based Bayesian technique, the DA-T-Gibbs sampler. (SLD)
Descriptors: Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics), Markov Processes
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Pratt, Daniel J.; And Others – 1996
This document provides a summary and evaluation of the methodological procedures and results of the full-scale implementation of the Beginning Postsecondary Student Longitudinal Study Second Follow-up, 1990-94 (BPS:90/94). The study was conducted for the National Center for Education Statistics by Research Triangle Institute with the assistance of…
Descriptors: College Students, Data Collection, Estimation (Mathematics), Followup Studies
Tsutakawa, Robert K. – 1984
This report describes new statistical procedures for item response analysis using estimation of item response curves used in mental testing with ability parameters treated as a random sample. Modern computer technology and the EM algorithm make this solution possible. The research focused on the theoretical formulation and solution of maximum…
Descriptors: Ability, Bayesian Statistics, Estimation (Mathematics), Item Sampling
Causey, Beverly D.; Bailey, Leroy – 1999
The Private School Universe Survey (PSS) is a mail survey conducted by the Bureau of the Census under the sponsorship of the National Center for Education Statistics. The survey is designed to provide data relating to all private schools in the United States, but the private schools' list frame remains incomplete despite the best efforts to…
Descriptors: Data Collection, Elementary Secondary Education, Estimation (Mathematics), Mail Surveys
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Nichols, James D. – Bioscience, 1992
Describes advances in capture-recapture modeling, including the biologically motivated emphasis on model-based hypothesis testing and the development of models for spatially stratified populations. Discusses the severe problems associated with count statistics reflecting unknown sampling fractions. (67 references) (KR)
Descriptors: Ecological Factors, Estimation (Mathematics), Higher Education, Mathematical Models
Kalton, Graham; Winglee, Marianne; Krawchuk, Sheila; Levine, Daniel – 2000
A 1994 report, "Quality Profile for SASS, Aspects of the Quality of Data in the Schools and Staffing Surveys (SASS)," presented and summarized the available information about the quality of the data from the five surveys that made up the SASS in its first two rounds of data collection (1987-1988 and 1990-1991). This report updates the…
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Error of Measurement
Abramson, Robert; And Others – 1996
The Schools and Staffing Survey (SASS) of the National Center for Education Statistics provides periodic, timely data on public and private elementary and secondary schools in the United States. Data collected include: school and teacher characteristics; school operations, programs, and policies; teacher demand and supply; and the opinions of…
Descriptors: Elementary Secondary Education, Estimation (Mathematics), Institutional Characteristics, National Surveys
Kaufman, Steven; Huang, Hertz – 1993
The Schools and Staffing Survey (SASS) represents the union of three surveys by the National Center for Education Statistics (NCES), the Teacher Demand and Shortage Survey, the School and School Administrator Surveys, and the Teacher Survey. The SASS measures critical aspects of teaching supply and demand, the composition of the teacher and…
Descriptors: Administrator Characteristics, Data Collection, Elementary School Teachers, Elementary Secondary Education