A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times [0.03%]
广义线性二元项目反应理论框架在响应与反应时间分析中的应用
Dylan Molenaar,Francis Tuerlinckx,Han L J van der Maas
Dylan Molenaar
A generalized linear modeling framework to the analysis of responses and response times is outlined. In this framework, referred to as bivariate generalized linear item response theory (B-GLIRT), separate generalized linear measurement mode...
The Importance of Temporal Design: How Do Measurement Intervals Affect the Accuracy and Efficiency of Parameter Estimates in Longitudinal Research? [0.03%]
时间设计的重要性：测量区间如何影响纵向研究中参数估计的准确性和效率？
Adela C Timmons,Kristopher J Preacher
Adela C Timmons
The timing (spacing) of assessments is an important component of longitudinal research. The purpose of the present study is to determine methods of timing the collection of longitudinal data that provide better parameter recovery in mixed e...
Wolfgang Wiedermann,Alexander von Eye
Wolfgang Wiedermann
Previous studies analyzed asymmetric properties of the Pearson correlation coefficient using higher than second order moments. These asymmetric properties can be used to determine the direction of dependence in a linear regression setting (...
Andrew F Hayes
Andrew F Hayes
I describe a test of linear moderated mediation in path analysis based on an interval estimate of the parameter of a function linking the indirect effect to values of a moderator-a parameter that I call the index of moderated mediation. Thi...
A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets [0.03%]
一种非参数的、基于多重插补的数据集回顾性整合方法
Madeline M Carrig,Daniel Manrique-Vallier,Krista W Ranby et al.
Madeline M Carrig et al.
Complex research questions often cannot be addressed adequately with a single data set. One sensible alternative to the high cost and effort associated with the creation of large new data sets is to combine existing data sets containing var...
Fighting for Intelligence: A Brief Overview of the Academic Work of John L. Horn [0.03%]
智力而战：简论约翰·L·霍尔恩的学术工作
John J McArdle,Scott M Hofer
John J McArdle
John L. Horn (1928-2006) was a pioneer in multivariate thinking and the application of multivariate methods to research on intelligence and personality. His key works on individual differences in the methodological areas of factor analysis ...
A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis [0.03%]
整合数据分析中一种修正的非线性因子模型及其共度量的发展
Patrick J Curran,James S McGinley,Daniel J Bauer et al.
Patrick J Curran et al.
Integrative data analysis (IDA) is a methodological framework that allows for the fitting of models to data that have been pooled across two or more independent sources. IDA offers many potential advantages including increased statistical p...
Finite Mixtures for Simultaneously Modelling Differential Effects and Non-Normal Distributions [0.03%]
有限混合模型同时刻画差异效应与非正态分布
Melissa R W George,Na Yang,Thomas Jaki et al.
Melissa R W George et al.
Regression mixture models have been increasingly applied in the social and behavioral sciences as a method for identifying differential effects of predictors on outcomes. While the typical specification of this approach is sensitive to viol...
Using the Bollen-Stine Bootstrapping Method for Evaluating Approximate Fit Indices [0.03%]
Bollen-StineBootstrap法在近似拟合度指标评估中的应用研究
Hanjoe Kim,Roger Millsap
Hanjoe Kim
Accepting that a model will not exactly fit any empirical data, global approximate fit indices quantify the degree of misfit. Recent research (Chen et al., 2008) has shown that using fixed conventional cut-points for approximate fit indices...
The Distribution of the Product Explains Normal Theory Mediation Confidence Interval Estimation [0.03%]
乘积的分布解释了正常理论中介自信区间估算
Yasemin Kisbu-Sakarya,David P MacKinnon,Milica Miočević
Yasemin Kisbu-Sakarya
The distribution of the product has several useful applications. One of these applications is its use to form confidence intervals for the indirect effect as the product of 2 regression coefficients. The purpose of this article is to invest...