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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.
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页码:80 / 92
页数:13
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