Structural Equation Modeling with JMP® Pro

被引:4
|
作者
Gonzales, Joseph E. [1 ]
机构
[1] Univ Massachusetts, Dept Psychol, Lowell, MA 01854 USA
关键词
JMP (R) Pro; SEM; Structural Equation Modeling; confirmatory factor analysis; longitudinal measurement invariance; MAXIMUM-LIKELIHOOD-ESTIMATION; MISSING-DATA; FACTORIAL INVARIANCE; PERFORMANCE; GROWTH; VARIABLES;
D O I
10.1080/15366367.2020.1809231
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
JMP (R) Pro has introduced a new structural equation modeling (SEM) platform to its suite of multivariate methods of analysis. Utilizing their graphical user interface, JMP Pro has created a SEM platform that is easily navigable for both experienced and novice SEM users. As a new platform, JMP Pro does not have the capacity to implement certain modeling approaches (e.g., multiple-group, multilevel, and mixture models), but it supports many others (e.g., CFA, cross-lagged panel models, growth and difference models, and one-sample time-series). In the present review, strengths and limitations of the platform are detailed, and model features are demonstrated through two worked examples.
引用
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页码:80 / 92
页数:13
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