Confirmatory factor analysis with missing data in a small sample: cognitive reserve in people with Down Syndrome
| Autor: | Joan Guàrdia-Olmos, Cristina Cañete-Massé, Myriam Guerra-Balic, María Dolores Figueroa-Jimenez, Casimiro Javierre, Maria Carbó-Carreté, Guillermo R. Oviedo, Maribel Peró-Cebollero |
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| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
education.field_of_study Down syndrome Population General Social Sciences Sample (statistics) Mostreig Missing data Confirmatory factor analysis Structural equation modeling Sample size determination Schema (psychology) Statistics Síndrome de Down Anàlisi factorial Models d'equacions estructurals Factor analysis Psychology education Sampling Jackknife resampling Cognitive reserve |
| Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona |
| Popis: | The presence of missing data and small sample sizes are very common in social and health sciences. Concurrently to present a methodology to solve the small sample size and missing data, we aim to present a definition of Cognitive Reserve for people with Down Syndrome. This population has become an appealing focus to study this concept because of the high incidence of dementia. The accidental sample comprised 35 persons with DS (16–35 years). A total of 12 variables were acquired, four of them had missing data. Two types of multiple imputation were made. Confirmatory factor analysis with Bayesian estimations was performed on the final database with non-informative priors. However, to solve the sample size problem, two additional corrections were made: first, we followed the Jiang and Yuan (2017) schema, and second, we made a Jackknife correlation correction. The estimations of the confirmatory factor analysis, as well as the global fit, are adequate. As an applied perspective, the acceptable fit of our model suggests the possibility of operationalizing the latent factor Cognitive Reserve in a simple way to measure it in the Down Syndrome population. |
| Databáze: | OpenAIRE |
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