We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…

This study illustrated the use of the Rule Space Method to diagnose students' proficiencies in, skills and knowledge of statistical hypothesis testing. Participants included 96 undergraduate and, graduate students, of whom 94 were classified into one or more of the knowledge states identified by, the rule space analysis. Analysis at the level of…

Statistics teaching should not be carried out in the same way for all kinds of university students. Instead, teaching statistics should take into account the different fields of study that students have chosen. For example, students of sciences or engineering have different interests and backgrounds compared to students of any social or juridical…

The online deployment of Technology Engineered online Student Ratings of Instruction (SRIs) by colleges and universities in the United States has dynamically changed the deployment of course evaluation. This research investigation is the fourth part of a post hoc study that analytically and psychometrically examines the design, reliability, and…

This study tests a process model of learning in which trainer and trainee traits are simultaneously considered as endogenous variables of learning outcomes. The article builds on a social view of training and similarity-attraction paradigms. In this context, the authors hypothesize that trainer-trainee similarity in personality (agreeableness)…

For the educational researcher needing to analyze frequency counts arising from cross classification of a sample of observations on a number of qualitative variables, a unified approach is described for the analysis of the p-way contingency table which enriches our understanding of the relationships existing among the classification variables.…

Suggests that early in their education students be taught to use basic statistical tests as rigorous methods of comparing experimental results with scientific hypotheses. Stresses that students learn how to use statistical tests in hypothesis-testing by applying them in actual hypothesis-testing situations. To illustrate, uses questions such as…

Discusses the effects on healing of attitude, positive thinking, and affirmations. Presents a mathematical example of hypothesis testing. Results point to the desirability of discussing such ideas with students to emphasize that the use of hypothesis testing is not simply a mechanical procedure. (ASK)

The paper presents a unified approach to some of the more popular nonparametric methods in current use, providing the reader with new insights by exhibiting relationships to relevant population parameters. (Author/LMO)

Six behavioral statistics textbooks listed by their publishers as "bestsellers" during 1982 were reviewed by the author. The intent was to detect the presence of and to discuss the nature of some theoretical inferential inaccuracies, misinterpretations and errors. (Author/LMO)

Procedures are described for teaching statistical inference and decision-making without lengthy pre-requisite work in descriptive statistics and probability theory. (JLH)

Demonstrated is the use of BASIC computer programs to simulate a binomial experiment and test a simple statistical hypothesis. The theoretical results are reached with the third programing attempt. All results, as well as computer programs, are included. (JJK)

A method is suggested to incorporate instruction in the concept and the application of power considerations into an applied statistics course. This is based on designing one table usable for a wide range of the type of statistical tests usually introduced in such a course. (Author)

Surveys introductory business and economics statistics textbooks and finds that they differ over the best way to explain one-tailed hypothesis tests: the simple null-hypothesis approach or the composite null-hypothesis approach. Argues that the composite null-hypothesis approach contains methodological shortcomings that make it more difficult for…

An approach to statistical testing, which combines Neyman-Pearson hypothesis testing and Fisher significance testing, is recommended. The use of P-values in this approach is discussed in some detail. The author also discusses some problems which are often found in introductory statistics textbooks. The problems involve the definitions of…