On the Selection of Item Scores or Composite Scores for Clinical Prediction [0.03%]
项目分数或复合分数在临床预测中的选择
Kenneth McClure,Brooke A Ammerman,Ross Jacobucci
Kenneth McClure
Recent shifts to prioritize prediction, rather than explanation, in psychological science have increased applications of predictive modeling methods. However, composite predictors, such as sum scores, are still commonly used in practice. Th...
Samuel D Aragones,Emilio Ferrer
Samuel D Aragones
An important goal when analyzing multivariate time series is the identification of heterogeneity, both within and across individuals over time. This heterogeneity can represent different ways in which psychological processes manifest, eithe...
Correcting Regression Coefficients for Collider Bias in Psychological Research [0.03%]
心理研究中纠正回归系数的共因偏差
Sophia J Lamp,David P MacKinnon
Sophia J Lamp
Collider bias is a statistical phenomenon that occurs when a researcher adjusts for a common outcome variable that is shared between a predictor and its criterion. This biased adjustment can happen in one of two ways: (1) treating the colli...
Detecting Cohort Effects in Accelerated Longitudinal Designs Using Multilevel Models [0.03%]
使用多层模型在加速纵列设计中识别队列效应
Simran K Johal,Emilio Ferrer
Simran K Johal
Accelerated longitudinal designs allow researchers to efficiently collect longitudinal data covering a time span much longer than the study duration. One important assumption of these designs is that each cohort (a group defined by their ag...
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...