Scott M. Hofer is Director of the Institute on Aging and Lifelong Health, Professor of Psychology, and holds the Harald Mohr, M.D. and Wilhelma Mohr, M.D. Research Chair in Adult Development and Aging at the University of Victoria. He is Past President of Division 5 (Quantitative and Qualitative Methods) of the American Psychological Association, Past President of the Society of Multivariate Experimental Psychology, and a Fellow of the Academy of Behavioral Medicine Research, American Psychological Association, Canadian Academy of Health Sciences, Gerontological Society of America, and the Royal Statistical Society. In 2016, he received an honorary doctorate from the University of Gothenburg. He currently serves on the Council of Representatives, Federation of Associations in Behavioral and Brain Sciences.
Dr. Hofer’s 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 using intensive measurement designs, and developments in research methodology focused on improving the measurement and analysis of change. He is Program Director of the NIH-funded Integrative Analysis of Longitudinal Studies on Aging and Dementia (IALSA) research network, comprised of over 100 longitudinal studies, for international comparative research and synthesis of results from many different studies. He has used intensive measurement designs to evaluate the within-person day-to-day dynamics among health behaviors, cognition, and well-being to better enable the assessment and identification of critical changes in functioning. He and his colleagues are working to leverage web-based technologies to bring the assessment of neurocognitive and patient-reported outcomes into the home and clinic to enable earlier and more accurate decisions about changes in health, cognition, and quality of life.
- Lifespan development and aging
- Longitudinal studies
- Developmental research methods
- Detection of individual change in functioning
Cadar, D., Stephan B. C., Jagger, C., Johansson, B., Hofer, S. M., Piccinin, A.M., Muniz-Terrera, G. (2016). The role of cognitive reserve on terminal decline: a cross-cohort analysis from two European studies: OCTO-Twin, Sweden, and Newcastle 85+, UK. Int J Geriatric Psychiatry, 31, 601-610.
Kypriotakis, G., Hofer, S.M., Piccinin, A.M. & Deimling, G. (2016). Correlated and Coupled Trajectories of Cancer-related Worries and Depressive Symptoms among Long-Term Cancer Survivors. Behavioral Medicine, 42(2), 82-92.
Clouston, S. A., Richards, M., Cadar, D., Hofer, S. M. Educational Inequalities in Health Behaviors at Midlife: Is There a Role for Early-life Cognition? (2015). Journal of Health and Social Behavior, 56, 323-340.
Griffith, L.E., van den Heuvel, E., Fortier, I., Sohel, N., Hofer, S. M., Payette, H., Wolfson, C., Belleville, S., Kenny, M., Doiron, D, Raina, P. (2015). Statistical approaches to harmonize data on cognitive measures in systematic reviews are rarely reported. J Clin Epidemiology, 68(2), 154-162.
Munoz, E., Sliwinski, M. J., Scott, S. B., Hofer, S. M. (2015). Global perceived stress predicts cognitive change among older adults. Psychology & Aging, 30(3), 487-499.
Weuve, J., Proust-Lima, C., Power, M. C., Gross, A. L., Hofer, S. M., Thiébaut, R., Chêne, G., Glymour, M. M., Dufouil, C., & MELODEM Initiative. (2015).Guidelines for reporting methodological challenges and evaluating potential bias in dementia research. Alzheimers & Dementia, 11(9), 1098-1109.
Gray, K. M., Piccinin, A. M., Keating, C. M., Taffe, J., Parmenter, T. R., Hofer, S. M., Einfeld, S. L. & Tonge, B. J. (2014). Outcomes in young adulthood: Are we achieving community participation and inclusion? Journal of Intellectual Disability Research, 58, 734-745.
Hofer, S. M., & Clouston, S. (2014). On the importance of early-life cognitive abilities in shaping later-life outcomes. Research in Human Development, 11, 241-24
Kuzucu, Y., Bontempo, D.E., Hofer, S.M., Stallings, M.C., & Piccinin, A.M. (2014). Developmental change and time-specific variation in global and specific aspects of self-concept in adolescence and association with depressive symptoms. The Journal of Early Adolescence, 34, 638-666.
McArdle, J. J., & Hofer, S. M. (2014). Fighting for intelligence: A brief overview of the academic work of John L. Horn. Multivariate Behavioral Research, 49, 1-16.
Rast, P., & Hofer, S. M. (2014). Longitudinal design considerations to optimize power to detect variances and covariances among rates of change: Simulation results based on actual longitudinal studies. Psychological Methods, 19, 133-154.
Rast, P., Rush, J., Piccinin, A. M., & Hofer, S. M. (2014). The identification of regions of significance in the effect of multimorbidity on depressive symptoms using longitudinal data: An application of the Johnson-Neyman technique. Gerontology, 60, 274-281.
Robitaille, A., Muniz, G., Lindwall, M., Piccinin, A. M., Hoffman, L., Johansson, & Hofer, S. M. (2014). Physical activity and cognitive functioning among older adults: Within- and between-person cognitive activity and psychosocial mediators. European Journal of Ageing, 11, 333-347.
Rush, J., & Hofer, S. M. (2014). Differences in within- and between-person factor structure and predictors of positive and negative affect: Analysis of two intensive measurement studies using multilevel SEM. Psychological Assessment, 26, 462-473.
Clouston, S., Brewster, P., Kuh, D., Richards, M., Cooper, R., Hardy, R., Rubin, M., & Hofer, S. M. (2013). The dynamic relationship between physical function and cognition in longitudinal aging cohorts: A systematic review. Epidemiologic Reviews, 35, 33-50.
Griffith, L., van den Heuvel, E., Fortier, I., Hofer, S. M., Raina, P., Sohe,l N., Payette, H., Wolfson, C., & Belleville, S. (2013). Harmonization of Cognitive Measures in Individual Participant Data and Aggregate Data Meta-Analysis. Methods Research Report. (Prepared by the McMaster University Evidence-based Practice Center under Contract No. 290-2007-10060-I.) AHRQ Publication No.13-EHC040-EF. Rockville, MD: Agency for Healthcare Research and Quality.
Kurtz, T., Mogle, J., Sliwinski, M. J., & Hofer, S. M. (2013). Individual differences in task- specific paired associates learning in older adults: The role of processing speed and working memory. Experimental Aging Research, 39, 493-514.
Muniz-Terrera, G. M., van den Hout, A., Piccinin, A. M., Matthews, F., & Hofer, S. M. (2013). Investigating terminal decline: Results from a UK population-based study of ageing. Psychology and Aging, 28, 377-385.
Piccinin, A. M., Muniz, G., Clouston, S., Reynolds, C., Thorvaldsson, V., Deary, I., Deeg, D., Johansson, B., Mackinnon, A., Spiro, A., Starr, J. M., Skoog, I., & Hofer, S. M. (2013). Coordinated analysis of age, sex, and education effects on change in MMSE scores. The Journals of Gerontology: Psychological Sciences, 68, 374-390.
Robitaille, A., Piccinin, A. M., Muniz, G., Hoffman, L., Johansson, B., Deeg, D. J. H., Aartsen, M. J., Comijs, H. C., & Hofer, S. M. (2013). Longitudinal mediation of processing speed on age-related change in memory, knowledge, and fluid intelligence. Psychology and Aging, 28, 887-901
Stawski, R., Sliwinski, M. J., & Hofer, S. M. (2013). Between‑person and within‑person associations among speed, attention switching and working memory in younger and older adults. Experimental Aging Research, 39, 194-214.
Brown, C.L., Gibbons, L.E., Kennison, R.F., Robitaille, A., Lindwall, M., Mitchell, M., Shirk, S.D., Atri, A., Cimino, C.R., Benitez, A., MacDonald, S.W.S., Zelinski, E., Willis, S.L., Schaie, K.W., Johansson, B., Dixon, R.A., Mungas, D.M., Hofer, S.M. & Piccinin, A.M. (2012). Social activity and cognitive functioning over time. Journal of Aging Research, vol. 2012, Article ID 287438, 12 pages. doi:10.1155/2012/287438.
Clouston, S., Kuh, D., Herd, P., Elliott, J., & Richards, M., & Hofer, S. M. (2012). Benefits of educational attainment on adult fluid cognition: International evidence from three birth cohorts. International Journal of Epidemiology, 41, 1729-1736. PMID: 23108707.