Statistical analysis of microdevelopmental data: using latent transition analysis to explore developmental sequences

Francis, B. (2010) Statistical analysis of microdevelopmental data: using latent transition analysis to explore developmental sequences. In: Workshop on "Theorising and measuring developmental change: the microdevelopmental (microgenetic) approach", 11 - 12 September 2010, London, UK. (Unpublished)

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Abstract

A key issue in the analysis of development concerns how we conceptualize and measure individual trajectories of change. In this talk I will review some recent approaches to this issue, which are not commonly used in developmental psychology. One of these approaches is latent transition analysis. I will describe how this technique can be used to extract different growth trajectories within longitudinal studies and allow other factors to be regressed onto these trajectories. I will discuss its underlying statistical assumptions and describe the main routines for conducting such analyses on commonly used statistical packages.

Item Type: Conference or Workshop Item (Paper)
Subjects: 5. Quantitative Data Handling and Data Analysis > 5.10 Latent Variable Models
Depositing User: L-W-S user
Date Deposited: 20 Feb 2012 15:24
Last Modified: 14 Jul 2021 13:55
URI: https://eprints.ncrm.ac.uk/id/eprint/2176

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