An explanation of the misuse of statistical significance testing and the true meaning of "significance" is offered. Literature about the criticism of current practices of researchers and publications is reviewed in the context of tests of significance. The problem under consideration occurs when researchers attempt to do more than just establish…

Presents a new approach for estimating missing observations together with the results of a Monte Carlo study of the relative strengths and weaknesses of this technique and three other available methods. These techniques are then examined with respect to their ability to use incomplete data to estimate the correlation matrix obtained using a full…

The development of the between-class, within-class analysis has facilitated a more refined analysis of classroom processes and influences: those which affect a class as a whole, a student within a class, or an individual student independent of context. However, a problem arises in using a between-class, within-class analysis to infer a particular…

One of six summaries of workshop sessions (See TM 000 130), designed to strengthen the evaluation of costly programs and their effects, this handbook presents an analysis of both random and nonrandom sampling errors by application of the Bayesian model. This model attempts to formalize the process and procedures of inference from data through…

Conveys some ideas of the impact that the census undercount may have on the allocation of funds to states and cities by focusing on revenue sharing. (Author/AM)

The intent of this paper is to demonstrate that the standard age effect in analysis of variance provides an ineffective means of assessing developmental change when several age levels are involved and a roughly monotonic trend can be expected. (Author)

Research on rape is handicapped by a paucity of accurate information on frequency of rape. The randomized response technique, designed to produce reliable information in surveys of sensitive issues, is advocated as a means of uncovering true frequencies. Findings are discussed in the context of results from traditional surveys. (Author/ABB)

Introduces structural modeling with nonnormal continuous variables, using the equations language of the micro-mainframe program EQS in the context of a longitudinal study of adolescent development that followed about 700 adolescents across an 8-year span into young adulthood. Two models are developed to assess the influence of drug use on…

Considers problems which arise when researchers do not have the optimally large sample sizes desired in structural equation modeling. Discusses the ways in which small sample size affects assessment of model fit. Provides a new estimator that may be beneficial for use in small-sample situations. (Author/RH)

Discusses problems with the use of stochastic (probabilistic) models for the analysis of juvenile offense data. Analyzes longitudinal data for White and non-White delinquents which show significant evidence of offense specialization and a random distribution of offenses if no specialization occurs. (Author/GC)

This article suggests ways in which the consumer of educational research can critically evaluate research reports in terms of sample and methodology, design and statistical treatment, and results and interpretation. The reader is alerted to sources of deliberate and nondeliberate bias and to fallacious use and/or interpretation of statistics.…

Results of two studies indicate that the way in which Likert scale data are scored can make a difference when statistical significance tests are used. The studies raise a number of questions about the use of Likert scales in communication research. (GT)

This article is a response to an article criticizing the methods used by the researchers in their study of societal differences between the United States and England. (EB)

Introduces the application of informetric methods to the World Wide Web (Webometrics). Presents a case study comparing the number of specific informetric analysis parameters of Denmark, Sweden, and Norway on the Web. Concludes that problems with data collection occur because current tools are inadequate and because collection methods, manual and…

Offers suggestions for proper procedures for authors to use--and some pitfalls to avoid--when writing studies using factor analysis methods. Discusses distinctions among different methods of analysis, the adequacy of factor structure, and other notes of caution. Encourages authors to ensure that their research is statistically sound. (RJM)