Discrete Choice Modeling in Education: An Innovative Method to Assess Teaching Practices

Self‐reported measures are an easy, time‐efficient, and low‐cost way to collect research data compared to other assessment methods. They are, however, characterized by several limitations regarding the quality and the clarity of the data they produce, especially when they are implemented in education. The main purpose of the current study was to use a method called discrete choice modeling (DCM) in education, in order to develop a self‐reported instrument that will reduce the bias for socially desirable responses and to assess teachers’ practices in physical activity. DCM method has the ability to overcome the respondents’ tendency to answer in a socially desirable way. A nationally representative sample of 531 Greek early educators participated in this study and were administered a self‐assessment questionnaire based on DCM. Results showed that the DCM based newly developed instrument manages to assess effectively educators’ practices and provided evidence of the applicability of the method in education. Further implications and future recommendations regarding the effective application of DCM in education are discussed.     

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.     

关于同场对抗类项群技术共性特征的初步探讨

运用专家调查法、文献研究法和理论分析法,对同场对抗类项群(篮球、足球、手球、水球)运动技术发展过程的某些共性特征进行了初步研究,得出结论:同场对抗类项群极其重视身体对抗技术,尤其重视在强身体对抗中运用其它技术;更加注意处理好"技术全面"和"位置技术"的关系;"组合技术"成为业内人士关注的焦点之一.     

数字图书馆二题

探讨数字图书馆及其相关概念以及它与传统图书馆的共存关系。     

Direct and indirect measures of writing for nonlearning disabled and learning disabled college students

Direct and indirect measures were used to compare the written language abilities of three groups of college students: two with learning disabilities and one without learning disabilities. Main effects were found for group, but not gender. Differences between nonlearning disabled students (NLD) and those with learning disabilities (LD) in writing were evident on both types of measures. Performance by LD students with disabilities in an area other than writing differed depending on the type of measure and often was no different from either of the other two groups. The combined use of direct and indirect measures appeared most effective for examining the complexities of writing produced by all groups.     

高校大规模排考系统的算法统计

It is a multifactor optimization problem to arrange examinations on a large scale for universities. In this paper, a kind of grouped optimization algorithm was proposed. A principle about related degree, which plays a core role in realization, was introduced in the algorithm. According to the algorithm, we worked out a set of software correspondingly and applied it to a certain university in Shanghai to arrange examinations. It shows that the algorithm is very effective.     

我国400m跑训练应注意的10个新动向

通过献资料法，统计对比法及本人多年的训练实践，在分析大量有关资料的基础上，根据400m跑训练发展的动向，针对我国目前400m跑训练中存在的问题，提出了以“速度”为中心，以“速度耐力”和“专项力量”为两翼，以短补长，以长补短，长短互补，全面发展的训练思路。     

Google Scholar and Web of Science: Examining gender differences in citation coverage across five scientific disciplines

Many studies demonstrate differences in the coverage of citing publications in Google Scholar (GS) and Web of Science (WoS). Here, we examine to what extent citation data from the two databases reflect the scholarly impact of women and men differently. Our conjecture is that WoS carries an indirect gender bias in its selection criteria for citation sources that GS avoids due to criteria that are more inclusive. Using a sample of 1250 U.S. researchers in Sociology, Political Science, Economics, Cardiology and Chemistry, we examine gender differences in the average citation coverage of the two databases. We also calculate database-specific h-indices for all authors in the sample. In repeated simulations of hiring scenarios, we use these indices to examine whether women's appointment rates increase if hiring decisions rely on data from GS in lieu of WoS. We find no systematic gender differences in the citation coverage of the two databases. Further, our results indicate marginal to non-existing effects of database selection on women's success-rates in the simulations. In line with the existing literature, we find the citation coverage in WoS to be largest in Cardiology and Chemistry and smallest in Political Science and Sociology. The concordance between author-based h-indices measured by GS and WoS is largest for Chemistry followed by Cardiology, Political Science, Sociology and Economics.