Datos administrativos agregados y estimación a partir de muestras no probabilísticas
Bibliographic Data
| ID | 10440734 |
|---|---|
| Authors | Pablo Cabrera-Álvarez (0000-0001-8105-5908, Universidad de Salamanca, corresponding author) |
| Year | 2021 |
| Volume | 79 |
| Issue | 1 |
| Pages | e180-e180 |
| Publication date | 2021-04-06 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista Internacional de Sociología (JOURNAL) |
| Journal identifiers | ISSN: 0034-9712 • E-ISSN: 1988-429X |
| Publisher | Spanish National Research Council (PUBLISHER) |
| DOI | 10.3989/ris.2021.79.1.19.350 |
| OpenAlex | W3146278113 |
| Language | ES |
| References cited | 153 |
En los últimos años, la investigación con encuestas ha estado marcada por el uso más frecuente de muestras no probabilísticas fruto de la expansión de internet y la caída sostenida de las tasas de respuesta. Para garantizar el proceso de inferencia cada vez son necesarios ajustes más complejos para los que se precisan variables auxiliares, es decir, información acerca de toda la población. En este trabajo se comprueba el potencial de los datos administrativos agregados a nivel de municipio para ajustar dos encuestas provenientes de un panel de internautas, el panel AIMC-Q, promovido por la Asociación Española para la Investigación de los Medios de Comunicación (AIMC). Los resultados muestran que la capacidad de las variables administrativas agregadas para reducir el sesgo de las estimaciones es mínima
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| Highly cited | No |
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