The longitudinal measurement of change: Intraindividual variability in behavior and interindividual differences observed in childhood

• Autores: Elena Escolano Pérez, Angel Blanco Villaseñor
• Localización: Anales de psicología, ISSN-e 1695-2294, ISSN 0212-9728, Vol. 31, Nº. 2, 2015, págs. 545-551
• Idioma: inglés
• DOI: 10.6018/analesps.31.2.166361
• Títulos paralelos:
  • Diseños de observación longitudinales: cambio intra-individual y diferencias inter-individuales observados durante la infancia.
• Enlaces
  • Texto completo
• Dialnet Métricas: 3 Citas
• Resumen
  • español

    El estudio del cambio en estudios de medidas repetidas o estu-dios longitudinales (cross-sectional y/o cross-sequential) constituye un área de notable interés en el ámbito de la Psicología del Desarrollo. Las medidas (cualitativas/cuantitativas) que tomamos de participantes, bien intraindivi-dualmente bien interindividualmente, permiten capturar cambios del desa-rrollo cognitivo.

    Mediante un estudio empírico de desarrollo cognitivo infantil, comproba-remos si los diseños longitudinales (cross-sectional/cross-sequential) pueden uti-lizarse o no indistintamente con técnicas de análisis de datos uni- o multiva-riables. Metodológicamente es posible tratar datos longitudinales en alguna de las soluciones aportadas, uni o multivariable. Sin embargo, y aún cum-pliendo los requisitos estadísticos necesarios, los resultados y la interpreta-ción de los mismos pueden ser diferentes.

    Entendemos que hay soluciones en los programas estadísticos actuales que permiten la utilización de técnicas que aseguren si realmente hay diferencias significativas o no en los datos, independientemente de si son tratados con estructuras uni- o multivariables.

    Los resultados de bebés estudiados en tres momentos temporales (18, 21 y 24 meses) mediante medidas repetidas muestran que la interpretación afecta de igual manera a datos de la variabilidad intra/interindividual

  • English

    The study of change in repeated measures studies or longitudinal studies (cross-sectional and/or cross-sequential) is of considerable interest in the field of developmental psychology. Qualitative and quantitative measures of interindividual and intraindividual variability can be used to capture changes in cognitive development.

    In the present study, through an empirical analysis of infant cognitive de-velopment, we investigate whether or not longitudinal (cross-sectional/cross-sequential) research designs can be used interchangeably with univariate or multivariate data analysis techniques. Methodologically, longitudinal data can be processed by univariate or multivariate analysis. However, the results and their interpretation may be different, even when the necessary statistical requirements are performed. Current statistical programs incorporate techniques to test for the presence of significant dif-ferences in data, regardless of whether these are evaluated by univariate or multivariate analysis.

    The results of this study, conducted in infants studied at three time points (18, 21 and 24 months), show that both intraindividual and interindividual variability can be detected by repeated measures analyses

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