Bayesian Modeling of Longitudinal Multiple-Group IRT Data with Skewed Latent Distributions and Growth Curves [0.03%]
具有偏斜潜在分布和增长曲线的纵向多元IRT数据的贝叶斯建模
José Roberto Silva Dos Santos,Caio Lucidius Naberezny Azevedo,Jean-Paul Fox
José Roberto Silva Dos Santos
In this work, we introduce a multiple-group longitudinal IRT model that accounts for skewed latent trait distributions. Our approach extends the model proposed by Santos et al. in 2022, which introduced a general class of longitudinal IRT m...
Jeongwon Choi,Hao Wu
Jeongwon Choi
Cross-Domain Latent Growth Curve Analysis in the Presence of Missing Data and Small Samples [0.03%]
缺失数据和小样本情况下的跨域潜在增长曲线分析
Parisa Rafiee,Manshu Yang
Parisa Rafiee
Development of a Method for Handling Doubly-Censored Data in a Latent Growth Curve Modeling Framework [0.03%]
潜在成长曲线模型框架下处理双重截尾数据方法的发展研究
Sooyong Lee,Tiffany A Whittaker
Sooyong Lee
This study addresses the challenge of doubly-censoring effects in longitudinal data structures, particularly within latent growth curve models (LGCMs). Censoring can severely bias estimates and inferences, distorting the relationships betwe...
Multilevel Latent Class Analysis: State-of-the-Art Methodologies and Their Implementation in the R Package multilevLCA [0.03%]
多层潜在类别分析：最新方法及其在R软件包multilevLCA中的实现
Johan Lyrvall,Roberto Di Mari,Zsuzsa Bakk et al.
Johan Lyrvall et al.
Latent class (LC) analysis is a model-based clustering approach for categorical data, with a wide range of applications in the social sciences and beyond. When the data have a hierarchical structure, the multilevel LC model can be used to a...
Toward a Psychology of Individuals: The Ergodicity Information Index and a Bottom-up Approach for Finding Generalizations [0.03%]
个体心理学之路：遍历性信息指数与自下而上寻找一般化的途径
Hudson Golino,John Nesselroade,Alexander P Christensen
Hudson Golino
In the last half of the twentieth century, psychology and neuroscience have experienced a renewed interest in intraindividual variation. To date, there are few quantitative methods to evaluate whether a population (between-person) structure...
Lijin Zhang,Wen Qu,Zhiyong Zhang
Lijin Zhang
Growth curve modeling has been widely used in many disciplines to understand the trajectories of growth. Two popular forms utilized in the real-world analyses are the linear and quadratic growth curve models. These models operate on the ass...
Missing Data in Discrete Time State-Space Modeling of Ecological Momentary Assessment Data: A Monte-Carlo Study of Imputation Methods [0.03%]
生态瞬时评估数据中离散时间状态空间模型的缺失数据问题：插补方法的蒙特卡罗研究
L R Slipetz,A Falk,T R Henry
L R Slipetz
When using ecological momentary assessment data (EMA), missing data is pervasive as participant attrition is a common issue. Thus, any EMA study must have a missing data plan. In this paper, we discuss missingness in time series analysis an...
Correcting for Differences in Measurement Unreliability in Meta-Analysis of Variances [0.03%]
元分析中方差测量不可靠性的差异校正
Katrin Jansen,Steffen Nestler
Katrin Jansen
There is a growing interest of researchers in meta-analytic methods for comparing variances as a means to answer questions on between-group differences in variability. When measurements are fallible, however, the variance of an outcome refl...