Provides details on the instrument development, sample design, data collection, and data analysis procedures for the 1998 National Assessment of Educational Progress (NAEP) national and state assessments. Includes information necessary to show adherence to testing standards of professional organizations. (SLD)

Examines assumptions underlying the employment of group means in communication research. Suggests a sample mean cannot be assumed to be a "good" statistic when the response vector represents different individuals' outcomes versus different outcomes of an individual. Notes implications for communication research. (SR)

Explores misconceptions that students hold about sampling techniques on surveys. Highlights students' thinking and instructional implications from two studies that examined upper-elementary students' written and oral explanations as they responded to survey situations. (ASK)

To address the need of identifying a comprehensive base for the critical issues and problems, research was conducted to ascertain the perspectives of classroom teachers, university professors, and supervisors of technology education. The goal of the research was to determine the critical issues and problems based on the following two questions:…

P. A. Frazier, A. P. Tix, and K. E. Barron (2004) highlighted a normal theory method popularized by R. M. Baron and D. A. Kenny (1986) for testing the statistical significance of indirect effects (i.e., mediator variables) in multiple regression contexts. However, simulation studies suggest that this method lacks statistical power relative to some…

The article describes a Windows program to estimate the expected value and sampling distribution function of the adverse impact ratio for general multistage selections. The results of the program can also be used to predict the risk that a future selection decision will result in an outcome that reflects the presence of adverse impact. The method…

The challenges involved in the design of ethical, nonexploitative research projects with sex workers or any other marginalized population are significant. First, the size and boundaries of the population are unknown, making it extremely difficult to get a representative sample. Second, because membership in hidden populations often involves…

In this paper the author discusses the meaning of sampling, the reasons for sampling, the Central Limit Theorem, and the different techniques of sampling. Practical and relevant examples are given to make the appropriate sampling techniques understandable to students of Introductory Statistics courses. With a thorough knowledge of sampling…

Individuals are typically more likely to continue to interact with people if they have a positive impression of them. This article shows how this sequential sampling feature of impression formation can explain several biases in impression formation. The underlying mechanism is the sample bias generated when the probability of interaction depends…

This paper reviews a body of prominent theories of automaticity in developmental dyslexia. The first part of the review considers the relationship between dyslexia and rapid automatic naming and fluency. Additional theoretical and empirical advances are suggested to this already strong research base. In particular, there is a need is for…

This article integrates research on minority influence and information sampling in groups. The traditional information-sampling paradigm implies that the discussion bias for common over unique information affects all types of groups universally. We proposed an alternative in which information sampling depends on the composition of opinions. We…

The present study is an investigation of complex sentence structures produced by school-age children in ordinary 100-utterance language samples. A total of 15 children with specific language impairment (SLI) and 15 of their classmates with typical language (TL) were the participants. Each child's conversational sample was coded for several types…

While technology has become an integral part of introductory statistics courses, the programs typically employed are professional packages designed primarily for data analysis rather than for learning. Findings from several studies suggest that use of such software in the introductory statistics classroom may not be very effective in helping…

A structural equation modeling approach to scale reliability evaluation can be employed to estimate generalizability theory indexes in settings where sampling of subjects and conditions is carried out. In one- and two-facet crossed designs, it is demonstrated how this method can be used to obtain estimates of relative generalizability…

This design study tracks the development of student thinking about natural variation as late elementary grade students learned about distribution in the context of modeling plant growth at the population level. The data-modeling approach assisted children in coordinating their understanding of particular cases with an evolving notion of data as an…