Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…

Under the generalizability-theory (G-theory) framework, the estimation precision of variance components (VCs) is of significant importance in that they serve as the foundation of estimating reliability. Zhang and Lin advanced the discussion of nonadditivity in data from a theoretical perspective and showed the adverse effects of nonadditivity on…

Creative self-concept has become a notable construct of interest in creativity literature in the last decade. The predictors, correlates, determinants, and consequences of self-rated creativity, creative self-efficacy, creative personal identity, and creative metacognition--as well as other self-concept constructs--have been studied intensively,…

This study supports the generalizability of perfectionistic strivings and concerns across Canadian and Chinese university students (N = 1,006) and demonstrates the importance of establishing measurement invariance prior to hypothesis testing with different groups. No latent mean difference in perfectionistic concerns was observed, but Canadian…

The trans-contextual model outlines the processes by which autonomous motivation toward activities in a physical education context predicts autonomous motivation toward physical activity outside of school, and beliefs about, intentions toward, and actual engagement in, out-of-school physical activity. In the present article, we clarify the…

Learning analytics and educational data mining are introducing a number of new techniques and frameworks for studying learning. The scalability and complexity of these novel techniques has afforded new ways for enacting education research and has helped scholars gain new insights into human cognition and learning. Nonetheless, there remain some…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…

The cross-cultural generalizability of vocational interest structures has received significant attention in recent years. This article adds to this research in four respects. First, data from a context that has not previously been investigated (Germany) was analyzed. Second, students at different stages of their educational career were examined.…

Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…

This paper presents a large-scale, comprehensive test of generalized trust across 31 nations. I pay particular attention to the theory and measurement of voluntary associations in promoting trust, hypothesizing that voluntary associations connected to other voluntary associations are more beneficial for the creation of generalized trust than…

This review presents an overview of selected articles on the leniency hypothesis: the idea that students give higher evaluations to instructors who grade more leniently. Such articles comprise a small subset of the voluminous research on student evaluations of teaching (SETs). In this diverse literature, research methods and aims have frequently…

Replication is important to viable scientific inquiry; results that will not replicate or generalize are of very limited value. Statistical significance enables the researcher to reject or not reject the null hypothesis according to the sample results obtained, but statistical significance does not indicate the probability that results will be…

Khuri's and Satterthwaite's methods of obtaining confidence intervals of variance components are compared. The article discusses that Khuri's method may be applied to obtain confidence intervals for the variance components and other linear functions of the expected mean squares used in generalizability theory. (Author/JAZ)

The authors used cross-cultural methodology to examine the demand-withdraw pattern of marital communication. In Western countries, women usually make more demands, whereas men are more likely to withdraw. But the recently advanced marital structure hypothesis suggests that this pattern can be altered by gender roles and beliefs, particularly in…

The focus of the present study is on students' experiences of enjoyment, an emotion largely neglected in educational research. We present a model in which specific levels of generalization of the construct of enjoyment are differentiated. Based on their extent of generalization, these differentiated constructs of enjoyment are located in a…