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- Title
Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification.
- Authors
Fisk, Charles L.; Harring, Jeffrey R.; Shen, Zuchao; Leite, Walter; Suen, King Yiu; Marcoulides, Katerina M.
- Abstract
Sensitivity analyses encompass a broad set of post-analytic techniques that are characterized as measuring the potential impact of any factor that has an effect on some output variables of a model. This research focuses on the utility of the simulated annealing algorithm to automatically identify path configurations and parameter values of omitted confounders in structural equation modeling (SEM). An empirical example based on a past published study is used to illustrate how strongly related an omitted variable must be to model variables for the conclusions of an analysis to change. The algorithm is outlined in detail and the results stemming from the sensitivity analysis are discussed.
- Subjects
STRUCTURAL equation modeling; RESEARCH; SELF-perception; INTELLECT; SENSITIVITY & specificity (Statistics); EMPIRICAL research; ALGORITHMS; EVALUATION
- Publication
Educational & Psychological Measurement, 2023, Vol 83, Issue 1, p73
- ISSN
0013-1644
- Publication type
Academic Journal
- DOI
10.1177/00131644211073121