Propensity Score Weighting with Missing Data on Covariates and Clustered Data Structure [0.03%]
具有协变量缺失数据和聚类数据结构的倾向性评分加权方法
Xiao Liu
Xiao Liu
Propensity score (PS) analyses are increasingly popular in behavioral sciences. Two issues often add complexities to PS analyses, including missing data in observed covariates and clustered data structure. In previous research, methods for ...
Information Matrix Test for Item Response Models Using Stochastic Approximation [0.03%]
信息矩阵检验项目反应模型使用随机逼近的方法
Youngjin Han,Yang Liu,Ji Seung Yang
Youngjin Han
Kayla M Garner
Kayla M Garner
Michael Brusco,Douglas Steinley,Ashley L Watts
Michael Brusco
The walktrap algorithm is one of the most popular community-detection methods in psychological research. Several simulation studies have shown that it is often effective at determining the correct number of communities and assigning items t...
Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models [0.03%]
在交错滞后面板模型中使用工具变量来测量时间上的因果关系
Madhurbain Singh,Brad Verhulst,Philip Vinh et al.
Madhurbain Singh et al.
Cross-lagged panel models (CLPMs) are commonly used to estimate causal influences between two variables with repeated assessments. The lagged effects in a CLPM depend on the time interval between assessments, eventually becoming undetectabl...
Myrthe Veenman,Loes H C Janssen,Lisanne A E M van Houtum et al.
Myrthe Veenman et al.
Adolescence is a time period characterized by extremes in affect and increasing prevalence of mental health problems. Prior studies have illustrated how affect states of adolescents are related to interactions with parents. However, it rema...
Investigating Moderation Effects at the Within-Person Level Using Intensive Longitudinal Data: A Two-Level Dynamic Structural Equation Modelling Approach in Mplus [0.03%]
使用密集纵向数据在个体层面研究调节效应的多层次动态结构方程建模方法
Lydia Gabriela Speyer,Aja Louise Murray,Rogier Kievit
Lydia Gabriela Speyer
Recent technological advances have provided new opportunities for the collection of intensive longitudinal data. Using methods such as dynamic structural equation modeling, these data can provide new insights into moment-to-moment dynamics ...
Jonathan J Park,Sy-Miin Chow,Sacha Epskamp et al.
Jonathan J Park et al.
Recent years have seen the emergence of an "idio-thetic" class of methods to bridge the gap between nomothetic and idiographic inference. These methods describe nomothetic trends in idiographic processes by pooling intraindividual informati...
Approaches to Item-Level Data with Cross-Classified Structure: An Illustration with Student Evaluation of Teaching [0.03%]
具有交叉分类结构项目水平数据的方法：以教学质量评价为例
Sijia Huang
Sijia Huang
Student evaluation of teaching (SET) questionnaires are ubiquitously applied in higher education institutions in North America for both formative and summative purposes. Data collected from SET questionnaires are usually item-level data wit...
Understanding Ability and Reliability Differences Measured with Count Items: The Distributional Regression Test Model and the Count Latent Regression Model [0.03%]
基于计数项目的理解和测量能力及可靠性的差异：分布回归检验模型和计数潜在回归模型
Marie Beisemann,Boris Forthmann,Philipp Doebler
Marie Beisemann
In psychology and education, tests (e.g., reading tests) and self-reports (e.g., clinical questionnaires) generate counts, but corresponding Item Response Theory (IRT) methods are underdeveloped compared to binary data. Recent advances incl...