Minimum discriminant information adjustment (MDIA), an approach to weighting samples to conform to known population information, provides a generalization of raking and poststratification. In the case of simple random sampling with replacement with uniform sampling weights, large-sample properties are available for MDIA estimates of population…

There has been a recent call to improve data reporting in kinesiology journals, including the appropriate use of univariate and multivariate analysis techniques. For example, a multivariate analysis of variance (MANOVA) with univariate post hocs and a Bonferroni correction is frequently used to investigate group differences on multiple dependent…

Public awareness of the severity of the high school completion problem in terms of its educational, social, psychological, and economic impacts has grown in recent years. Using ex post facto data, this non-experimental, correlational study was designed to determine whether there are differences in academic performance and school attendance between…

Based on the analysis of 620 think-aloud verbal protocols from students in grades 7, 9, and 11, we examined students' conscious engagement in inference generation, paraphrasing, verbatim text repetition, and monitoring while reading narrative or informational texts that were either at or above the students' current reading levels. Students were…

Based on the analysis of 620 think-aloud verbal protocols from students in grades 7, 9, and 11, we examined students' conscious engagement in inference generation, paraphrasing, verbatim text repetition, and monitoring while reading narrative or informational texts that were either at or above the students' current reading levels. Students were…

This paper mainly examines anthropometric data, data regarding the habits, experiences, and attitudes of the students about their tablet/laptop/desktop computer use, in addition to self-reported musculoskeletal discomfort levels and frequencies of students participating in a tablet-assisted interactive education programme. A two-part questionnaire…

Teachers often struggle to provide all students access to specific learning activities that work best for them--and what works best for some students will not work for others. Differentiating instruction makes sense because it offers different paths to understanding content, process, and products, considering what is appropriate given a child's…

This study was designed to investigate the predictive relationships of creative problem-solving attributes, which comprise divergent thinking, convergent thinking, motivation, general and domain knowledge and skills, and environment, with mathematical creativity of sixth grade students in Thai Nguyen City, Viet Nam. The study also aims to revise…

This study identifies multiple profiles of successful essays via a cluster analysis approach using linguistic features reported by a variety of natural language processing tools. The findings from the study indicate that there are four profiles of successful writers for the samples analyzed. These four profiles are linguistically distinct from one…

Rough set theory (RST) is an emerging technique used to deal with problems in data mining and knowledge acquisition. However, the RST approach has not been widely explored in the field of academic achievement. This investigation developed an improved RST (IMRST) model, which employs linear discriminant analysis to determine a reduct of RST, and…

Background: A small number of prior studies have found that victims of school bullying tend to exhibit poor social skills. Few of these have examined this issue from multiple perspectives, and there has been a focus on a restricted range of social skills. Aims: To determine the extent to which self, peers, and teachers regard victims as having…