Jacob M Schauer
Jacob M Schauer
A prominent approach to studying the replication crisis has been to conduct replications of several different scientific findings as part of the same research effort. The reported proportion of findings that these programs determined failed...
A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data [0.03%]
一种分析多项和多元时间序列数据的时变动态部分信用模型
Sebastian Castro-Alvarez,Laura F Bringmann,Rob R Meijer et al.
Sebastian Castro-Alvarez et al.
The accessibility to electronic devices and the novel statistical methodologies available have allowed researchers to comprehend psychological processes at the individual level. However, there are still great challenges to overcome as, in m...
Quantifying Evidence for-and against-Granger Causality with Bayes Factors [0.03%]
用贝叶斯因子衡量格ANGER因果关系的证据量
Zita Oravecz,Joachim Vandekerckhove
Zita Oravecz
Testing for Granger causality relies on estimating the capacity of dynamics in one time series to forecast dynamics in another. The canonical test for such temporal predictive causality is based on fitting multivariate time series models an...
An Iterative Scale Purification Procedure on lz for the Detection of Aberrant Responses [0.03%]
一种用于检测异常反应的迭代缩放净化程序lz方法
Xuelan Qiu,Sheng-Yun Huang,Wen-Chung Wang et al.
Xuelan Qiu et al.
Many person-fit statistics have been proposed to detect aberrant response behaviors (e.g., cheating, guessing). Among them, lz is one of the most widely used indices. The computation of lz assumes the item and person parameters are known. I...
Booil Jo,Trevor J Hastie,Zetan Li et al.
Booil Jo et al.
Despite its potentials benefits, using prediction targets generated based on latent variable (LV) modeling is not a common practice in supervised learning, a dominating framework for developing prediction models. In supervised learning, it ...
Combining Item Purification and Multiple Comparison Adjustment Methods in Detection of Differential Item Functioning [0.03%]
结合项目净化和多重比较校正方法进行项目功能差异检测
Adéla Hladká,Patrícia Martinková,David Magis
Adéla Hladká
Many of the differential item functioning (DIF) detection methods rely on a principle of testing for DIF item by item, while considering the rest of the items or at least some of them being DIF-free. Computational algorithms of these DIF de...
Go Multivariate: Recommendations on Bayesian Multilevel Hidden Markov Models with Categorical Data [0.03%]
基于贝叶斯多层次隐马尔可夫模型的分类数据推荐算法研究
Sebastian Mildiner Moraga,Emmeke Aarts
Sebastian Mildiner Moraga
The multilevel hidden Markov model (MHMM) is a promising method to investigate intense longitudinal data obtained within the social and behavioral sciences. The MHMM quantifies information on the latent dynamics of behavior over time. In ad...
Michael J Rovine,Paul A McDermott
Michael J Rovine
Inspired by Peter Molenaar's Houdini transformation, we consider the idea of touchstones between different models. Touchstones represent instances where models that appear different on the surface can have equivalent characteristics. Touchs...
Unique Variable Analysis: A Network Psychometrics Method to Detect Local Dependence [0.03%]
独特的变量分析：一种用于检测局部依赖的网络心理测量方法
Alexander P Christensen,Luis Eduardo Garrido,Hudson Golino
Alexander P Christensen
The local independence assumption states that variables are unrelated after conditioning on a latent variable. Common problems that arise from violations of this assumption include model misspecification, biased model parameters, and inaccu...
Modeling Heterogeneity in Temporal Dynamics: Extending Latent State-Trait Autoregressive and Cross-lagged Panel Models to Mixture Distribution Models [0.03%]
异质性时间动态的建模：将潜在状态-特征自回归和交叉滞后面板模型扩展到混合分布模型
Jana Holtmann,Michael Eid,Philip S Santangelo et al.
Jana Holtmann et al.
Longitudinal models suited for the analysis of panel data, such as cross-lagged panel or autoregressive latent-state trait models, assume population homogeneity with respect to the temporal dynamics of the variables under investigation. Thi...