The Impact of Ignoring the Level of Nesting Structure in Nonparametric Multilevel Latent Class Models [0.03%]
忽略嵌套结构层次的非参数多层潜在类别模型的影响
Jungkyu Park,Hsiu-Ting Yu
Jungkyu Park
The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-le...
The Effects of Including Observed Means or Latent Means as Covariates in Multilevel Models for Cluster Randomized Trials [0.03%]
多水平模型中包含观察均值或潜在均值作为协变量的组群随机试验效应
Burak Aydin,Walter L Leite,James Algina
Burak Aydin
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent clus...
Differences in Reaction to Immediate Feedback and Opportunity to Revise Answers for Multiple-Choice and Open-Ended Questions [0.03%]
即时反馈和修改答案的机会对多选题和开放式问题的反应差异的影响
Yigal Attali,Cara Laitusis,Elizabeth Stone
Yigal Attali
There are many reasons to believe that open-ended (OE) and multiple-choice (MC) items elicit different cognitive demands of students. However, empirical evidence that supports this view is lacking. In this study, we investigated the reactio...
Measurement Error Correction Formula for Cluster-Level Group Differences in Cluster Randomized and Observational Studies [0.03%]
聚类随机和观察研究中修正测量误差以评估组间差异的公式化方法研究
Sun-Joo Cho,Kristopher J Preacher
Sun-Joo Cho
Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate ...
Hypothesis Testing Using Factor Score Regression: A Comparison of Four Methods [0.03%]
四种方法的因子得分回归假设检验比较分析
Ines Devlieger,Axel Mayer,Yves Rosseel
Ines Devlieger
In this article, an overview is given of four methods to perform factor score regression (FSR), namely regression FSR, Bartlett FSR, the bias avoiding method of Skrondal and Laake, and the bias correcting method of Croon. The bias correctin...
Question Order Affects the Measurement of Bullying Victimization Among Middle School Students [0.03%]
问题顺序影响中学生欺凌受害者测量结果
Francis L Huang,Dewey G Cornell
Francis L Huang
Bullying among youth is recognized as a serious student problem, especially in middle school. The most common approach to measuring bullying is through student self-report surveys that ask questions about different types of bullying victimi...
Georg Rasch and Benjamin Wright's Struggle With the Unidimensional Polytomous Model With Sufficient Statistics [0.03%]
乔治·拉斯和本杰明·赖特对单维多项模态及充要统计的探讨
David Andrich
David Andrich
This article reproduces correspondence between Georg Rasch of The University of Copenhagen and Benjamin Wright of The University of Chicago in the period from January 1966 to July 1967. This correspondence reveals their struggle to operatio...
Exploring Rating Quality in Rater-Mediated Assessments Using Mokken Scale Analysis [0.03%]
利用Mokken尺度分析探索评分者介导评估中的评分质量
Stefanie A Wind,George Engelhard Jr
Stefanie A Wind
Mokken scale analysis is a probabilistic nonparametric approach that offers statistical and graphical tools for evaluating the quality of social science measurement without placing potentially inappropriate restrictions on the structure of ...
Rasch Model Parameter Estimation in the Presence of a Nonnormal Latent Trait Using a Nonparametric Bayesian Approach [0.03%]
非正态潜在特质下Rasch模型参数的贝叶斯非参数估计方法研究
Holmes Finch,Julianne M Edwards
Holmes Finch
Standard approaches for estimating item response theory (IRT) model parameters generally work under the assumption that the latent trait being measured by a set of items follows the normal distribution. Estimation of IRT parameters in the p...
Assessing Validity of Measurement in Learning Disabilities Using Hierarchical Generalized Linear Modeling: The Roles of Anxiety and Motivation [0.03%]
基于分层广义线性模型的学习障碍测评中的焦虑和动机作用分析
Georgios D Sideridis
Georgios D Sideridis
The purpose of the present studies was to test the hypothesis that the psychometric characteristics of ability scales may be significantly distorted if one accounts for emotional factors during test taking. Specifically, the present studies...