Some recent methods are presented for analyzing categorical data from complex surveys involving clustering familiar in educational research. Methods that provide first-order corrections to standard multinomial-based chi-square tests by taking into account survey design effects are highlighted. Design-based calculation techniques guarantee that the…

Demonstrated that time sampling is inaccurate for estimating durations or frequencies of behaviors. Also concluded that (1) individual or group differences can change depending on whether time sampling or continuous sampling is used; and (2) error rates are high when bout lengths of behaviors are short or when interval length is long. (BC)

Whether it is possible to develop a classification function that identifies the underlying range restriction from sample information alone was investigated in a simulation. Results indicate that such a function is possible. The procedure was found to be relatively accurate, robust, and powerful. (SLD)

Describes and assesses missing data methods currently used to analyze data from matrix sampling designs implemented by the National Assessment of Educational Progress. Several improved methods are developed, and these models are evaluated using an EM algorithm to obtain maximum likelihood estimates followed by multiple imputation of complete data…

Discusses the effects of sampling scheme selection on the admissibility of log-linear models for multinomial and product multinomial sampling schemes for prospective and retrospective sampling. Notes that in multinomial sampling, marginal frequencies are not fixed, whereas for product multinomial sampling, uni- or multidimensional frequencies are…

Adult community norms were derived from 261 adults who completed the Social Phobia and Anxiety Inventory and 267 adults who completed the Beck Anxiety Inventory, the Fear Questionnaire, and the Penn State Worry Questionnaire. Percentile scores are provided for all measures, and their usefulness in assessing therapy outcomes is discussed. (SLD)

Reports an exploration of the effectiveness of different types and sizes of samples for content analyses of television network news. Compares simple random, monthly stratified, and quarterly/weekly stratified sampling, using annual "populations" of network newscasts. Finds that the most efficient technique was two random days per month. (SR)

Sources of population heterogeneity may or may not be observed. If the sources of heterogeneity are observed (e.g., gender), the sample can be split into groups and the data analyzed with methods for multiple groups. If the sources of population heterogeneity are unobserved, the data can be analyzed with latent class models. Factor mixture models…

This article addresses the importance of obtaining a sample of an adequate size for the purpose of testing hypotheses. The logic underlying the requirement for a minimum sample size for hypothesis testing is discussed, as well as the criteria for determining it. Implications for researchers working with convenient samples of a fixed size are also…

The health status of people with intellectual disability (ID) is poor, yet very little research has been done on their health needs. There are several barriers to performing this research. The aim of our research was to examine the significant barriers encountered in recruiting adults with ID to participate in research. Our project was a…

In this article, a maximum likelihood (ML) approach for analyzing a rather general two-level structural equation model is developed for hierarchically structured data that are very common in educational and/or behavioral research. The proposed two-level model can accommodate nonlinear causal relations among latent variables as well as effects…

This study introduces an order-constrained Bayes inference framework useful for analyzing data containing dichotomous scored item responses, under the assumptions of either the monotone homogeneity model or the double monotonicity model of nonparametric item response theory (NIRT). The framework involves the implementation of Gibbs sampling to…

Data from international comparative studies in education are generally derived from complex, multi-stage sample designs and rotated assessments. Consequently, care must be taken not only in estimating variance components but also in interpreting them. Target population definitions, the nature of the sampling stages and their sampling units, and…

We applied a classroom research model to investigate student understanding of sampling distributions of sample means and the Central Limit Theorem in post-calculus introductory probability and statistics courses. Using a quantitative assessment tool developed by previous researchers and a qualitative assessment tool developed by the authors, we…

Adaptive decision making requires that contingencies between decision options and their relative assets be assessed accurately and quickly. The present research addresses the challenging notion that contingencies may be more visible from small than from large samples of observations. An algorithmic account for such a seemingly paradoxical effect…