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用于在……中促进大规模潜在变量分析的一个软件包 。 你提供的原文似乎不完整,最后的“in.”后面缺少具体内容。

: An Package for Facilitating Large-Scale Latent Variable Analyses in .

作者信息

Hallquist Michael N, Wiley Joshua F

机构信息

Department of Psychology, The Pennsylvania State University.

School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University.

出版信息

Struct Equ Modeling. 2018;25(4):621-638. doi: 10.1080/10705511.2017.1402334. Epub 2018 Jan 19.

Abstract

is a package for that facilitates complex latent variable analyses in involving comparisons among many models and parameters. More specifically, provides tools to accomplish three objectives: to create and manage syntax for groups of related models; to automate the estimation of many models; and to extract, aggregate, and compare fit statistics, parameter estimates, and ancillary model outputs. We provide an introduction to the package using applied examples including a large-scale simulation study. By reducing the effort required for large-scale studies, a broad goal of is to support methodological developments in structural equation modeling using .

摘要

是一个用于的软件包,它有助于在涉及多个模型和参数比较的中进行复杂的潜在变量分析。更具体地说,提供了实现三个目标的工具:为相关模型组创建和管理语法;自动估计多个模型;以及提取、汇总和比较拟合统计量、参数估计值和辅助模型输出。我们使用包括大规模模拟研究在内的应用示例对该软件包进行介绍。通过减少大规模研究所需的工作量,的一个广泛目标是支持使用的结构方程建模中的方法学发展。

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本文引用的文献

1
Testing nonnested structural equation models.检验非嵌套结构方程模型。
Psychol Methods. 2016 Jun;21(2):151-63. doi: 10.1037/met0000038. Epub 2015 Aug 3.
2
OpenMx 2.0: Extended Structural Equation and Statistical Modeling.OpenMx 2.0:扩展结构方程与统计建模
Psychometrika. 2016 Jun;81(2):535-49. doi: 10.1007/s11336-014-9435-8. Epub 2015 Jan 27.
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Clustering in the presence of scatter.存在散点情况下的聚类
Biometrics. 2009 Jun;65(2):341-52. doi: 10.1111/j.1541-0420.2008.01064.x. Epub 2008 May 30.

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