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1.
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.  相似文献   
2.
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.  相似文献   
3.
ABSTRACT

To better understand doping-related attitude change, it is important to consider not only the amount of thinking (i.e., elaboration) done by message recipients, but also the favourability of their thoughts in response to the proposal, as well as the perceived validity in their thoughts. The main goal of the present study was to analyse the effects of a meta-cognitive process (i.e., thought validation) on attitudes related to doping. Thus, we randomly assigned participants to read a message either against or in favour of legalising several doping behaviours. Participants listed their thoughts regarding the proposal and indicated the perceived validity in their thoughts, then reported their attitudes. As hypothesised, the message against legalisation elicited more unfavourable thoughts and attitudes than the message in favour of legalisation. Most relevantly, the effects of the message direction on attitudes were greater for participants with higher (vs. lower) levels of thought validity. Furthermore, consistent with the thought validation process, results revealed that thought favourability was a better predictor of attitudes for participants with higher (vs. lower) perceived thought validity, indicating that perceiving one’s thoughts as valid plays an important role in persuasion. These findings provide novel insights for research and interventions regarding doping in sports.  相似文献   
4.
提出完全有效元素法并用于建立一类空间连杆机构装配构形问题的统一数学模型;将综合消元法用于确定机构的所有装配构形。实例计算表明,本文理论正确、方法实用新颖、程序运行可靠。  相似文献   
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提出贯穿高等代数理论的三条主线。它们是:从具体的数学对象向抽象的代数系统的转变;从各类数学对象的传统表示向统一的矩阵表示的转变;从数学对象间的具体关系向集合元素间的抽象关系的转变。  相似文献   
7.
通过一些具体的例题介绍了n阶行列式计算的几种常用而且行之有效的方法  相似文献   
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本文研究了矩阵光学中 ,矩阵逆变换和物理逆光路的逻辑自洽问题 ,揭示了抽象的矩阵操作和实际的物理过程的一致性 ,最后指出 ,它们的统一性 ,本质上在于宏观物理现象的宇称守恒性。  相似文献   
10.
基于主成分分析法的科技期刊评价方法   总被引:6,自引:1,他引:5  
针对目前科技期刊评价方法中存在的指标之间相关性问题和指标权重选取问题,提出了基于主成分分析的科技期刊评价方法.该评价方法通过相关系数矩阵的特征向量将评价指标线性变化成彼此独立的主成分,根据主成分累计贡献值确定主成分的取用维数,由主成分方差确定权重.其优点是:可以消除由于指标间的相关性带来的偏差,降低计算维数,从而降低指标选择的难度,提高评价结果的可信度;此外,可以消除人为确定指标权重引起的弊病,使评价结果更具客观性和准确性.  相似文献   
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