Implications of Retrospective Measurement Error in Event History Analysis

• Autores: Jose Pina Sánchez, Johan Koskinen, Ian Plewis
• Localización: Metodología de encuestas, ISSN 1575-7803, Vol. 15, Nº. 1, 2013, págs. 5-25
• Idioma: inglés
• Títulos paralelos:
  • Las consecuencias de los errores de medida retrospectivos en análisis de la supervivencia.
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• Dialnet Métricas: 1 Cita
• Resumen
  • español

    Es comúnmente aceptado que el uso de preguntas retrospectivas en las encuestas requiere un mayor esfuerzo cognitivo por parte del encuestado y por lo tanto conduce a mediciones menos precisas. En este trabajo se evalúa el efecto de utilizar los datos derivados de las preguntas retrospectivas como la variable de respuesta en diferentes modelos de análisis del historial de eventos: Weibull, exponencial, Cox y logit. El impacto del error de medición se evalúa mediante la comparación de las estimaciones obtenidas al especificar los modelos usando duraciones de desempleo derivadas de una pregunta retrospectiva frente a aquellas obtenidas usando los datos de validación derivados del registro sueco de desempleo. Los resultados muestran grandes efectos de atenuación en todos los coeficientes de regresión. Además, estos efectos son relativamente similares en todos los modelos estudiados.

  • English

    It is commonly accepted that the use of retrospective questions in surveys makes interviewees face harder cognitive challenges and therefore leads to less precise measures than questions asking about current states. In this paper we evaluate the effect of using data derived from retrospective questions as the response variable in different event history analysis models: an accelerated life Weibull, an accelerated life exponential, a proportional hazards Cox, and a proportional odds logit. The impact of measurement error is assessed by a comparison of the estimates obtained when the models are specified using durations of unemployment derived from a retrospective question against those obtained using validation data derived from a register of unemployment. Results show large attenuation effects in all the regression coefficients. Furthermore, these effects are relatively similar across models

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