Discusses some key statistical concepts in probabilistic and non-probabilistic sampling to provide an overview for understanding the inference process. Suggests a statistical model constituting the basis of statistical inference and provides a brief review of the finite population descriptive inference and a quota sampling inferential theory.…

A 2-facet measurement model is identified, and its coefficient of generalizability (CG) is examined. Three other multifaceted measurement models and their CGs are identified. An empirical investigation of all four procedures is conducted using data from a study of the psychopathology of 71 prison inmates. (SLD)

This article discusses the uses of production function models and describes the role of inferential statistics for making predictions in school finance. Specifically, the analysis evaluates types, suggests uses, explains the advantages and disadvantages, and lists the statistical complexities of production functions. (JAM)

Describes a system based on a probabilistic inference network retrieval model that was used to study the retrieval effectiveness benefits of combining types of document and query information that are found in typical commercial databases and information services. Multiple document representations, multiple index representations, and multiple query…

Computation of a one-way analysis of variance (ANOVA) "F" ratio from descriptive statistics in the absence of raw data is corrected from two sources. Means associated with inferential statistical hypotheses are identified as estimable population parameters. (Author)

Significance tests are often used inappropriately in counseling research. In addition to comments on the significance test controversy (Vacha-Haase and Nilsson, this issue), a wider historical context and personal experiences are provided. The controversy is discussed, and seven recommendations for using significance tests are included. (EMK)

Describes the logic of statistical testing in the Fisher and Neyman-Pearson approaches. Reviews some common misinterpretations of basic concepts behind statistical tests. Analyzes the philosophical and psychological issues that can contribute to these misinterpretations. Suggests possible ways in which statistical education might contribute to the…

Introduces the three subsequent articles from this special section, which extend the discussion of future prospects for progress in the reporting and interpreting of effect sizes by researchers. The authors of these pieces represent diverse views. (SLD)

This article addresses issues in model building and statistical inference in the context of student modeling. The use of probability-based reasoning to explicate hypothesized and empirical relationships and to structure inference in the context of proportional reasoning tasks is discussed. Ideas are illustrated with an example concerning…

Mardia's measure of multivariate kurtosis has been implemented in many statistical packages commonly used by social scientists. It provides important information on whether a commonly used multivariate procedure is appropriate for inference. Many statistical packages also have options for missing data. However, there is no procedure for applying…

Three meta-analytic studies have shown that bilingual education is an effective method for teaching students who are English language learners. However, there is limited evidence of the effectiveness of bilingual education in preschool. This study used multiple years of data from the Manchester (New Hampshire) Even Start program and relevant…

The purpose of this study was to determine the relative importance of choice factors that were most important to students who decided to matriculate in the field of sport management for a master's degree. A survey questionnaire was mailed to the program or department chairs of 12 randomly selected universities listed on the NASSM web site during…

In this paper, a data perturbation method for minimizing the possibility of disclosure of participants' identities on a survey is described in the context of the National Assessment of Educational Progress (NAEP). The method distinguishes itself from most approaches because of the presence of cognitive tasks. Hence, a data edit should have minimal…

A modified three-step Delphi procedure was used to conduct a series of national studies of futurists regarded by their peers as top experts in agricultural education. The primary objective was to project enrollments in agricultural education programs for the 21st century. Other study objectives were to ascertain whether the Delphi technique could…

In clinical trials, adaptive allocation means that the therapies assigned to the next patient or patients depend on the results obtained thus far in the trial. Although many adaptive allocation procedures have been proposed for clinical trials, few have actually used adaptive assignment, largely because classical frequentist measures of inference…