Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification
Datos Bibliográficos
| ID | 20281978 |
|---|---|
| Autores | Charles L Fisk (University of Maryland, College Park, autor de correspondencia), Jeffrey R Harring (0000-0002-7102-0303, University of Maryland, College Park), Zuchao Shen (0000-0003-3483-0451, University of Florida, Gainesville, USA), Walter L Leite (0000-0001-7655-5668, University of Florida, Gainesville, USA), King Yiu Suen (0009-0003-6533-0756, University of Minnesota, Minneapolis, USA), Katerina M Marcoulides (0000-0001-8829-870X, University of Minnesota, Minneapolis, USA) |
| Año | 2023 |
| Volumen | 83 |
| Número | 1 |
| Páginas | 73-92 |
| Fecha de publicación | 2023-02-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Educational and Psychological Measurement (JOURNAL) |
| Identificadores de la revista | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Editorial | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00131644211073121 |
| PMID | 36601254 |
| OpenAlex | W4210331209 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 32 |
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
Algorithm · Confounding · Econometrics · Mathematical analysis · Omitted-variable bias · Path analysis (statistics) · Sensitivity (control systems) · Simulated annealing · Statistics · Structural equation modeling · Variable (mathematics) · Applied Mathematics · Computer Science · Engineering · Mathematics · Psychometric Methodologies and Testing
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| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |