Scott M. Hofer |
Ph.D.
1994 (USC) joined Department in 2009 |
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Mohr Chair in Adult Development and Aging Life-Span Development, Longitudinal Studies, Developmental Methodology
Hofer, S. M., & Piccinin, A. M. (in press) Integrative data analysis through coordination of measurement and analysis protocol across independent longitudinal studies. Psychological Methods. Hofer, S. M., & Alwin, D. F. (Eds., 2008). The Handbook of Cognitive Aging: Interdisciplinary Perspectives. Thousand Oaks: Sage Publications. Thorvaldsson, V., Hofer, S. M., Berg, S., Skoog, I., Sacuiu, S., & Johansson, B. (2008). Onset of terminal decline in cognitive abilities in individuals without dementia. Neurology, 71, 882-887. Bontempo, D. E., & Hofer, S. M. (2007). Assessing factorial invariance in cross-sectional and longitudinal studies. In A.D. Ong & M. van Dulmen (Eds.), Handbook of methods in positive psychology (pp. 153-175). Oxford University Press. Hofer, S. M., Flaherty, B. P., & Hoffman, L. (2006). Cross-sectional analysis of time-dependent data: Problems of mean-induced association in age-heterogeneous samples and an alternative method based on sequential narrow age-cohorts. Multivariate Behavioral Research, 41, 165-187.
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My
research is on the identification and explanation of individual
differences in developmental and aging-related processes and involves
analysis of existing longitudinal studies, new data collection efforts
using intensive measurement designs, and developments in research
methodology focused on measurement and analysis of change. A major
aim of using intensive measurement designs is to identify critical
changes in cognitive performance that are distinct from retest effects,
leading to improved and earlier diagnosis of cognitive impairment.
Analysis of existing longitudinal data is being advanced through
our international network for the Integrative Analysis of Longitudinal
Studies on Aging (IALSA), with emphasis on understanding within-person
changes in cognition and personality in the context of health and
population mortality. This network for the collaborative, coordinated
analysis of longitudinal studies provides a broad foundation for
cumulating scientific knowledge from longitudinal research by facilitating
efficient examination of multiple studies in ways that maximize
comparability of results.
