The Promise and Challenges of Integrating Multiple Time-Scales in Adult Developmental Inquiry

REFERENCES

• Almeida, D. M. (2005). Resilience and vulnerability to daily stressors assessed via diary methods. Current Directions in Psychological Science, 14, 64–68. doi:10.1111/j.0963-7214.2005.00336.x
   Web of Science ®Google Scholar
• Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd ed.). New York, NY: Cambridge University Press. doi:10.1017/CBO9780511527685
   Google Scholar
• Baltes, P. B., Lindenberger, U., & Staudinger, U. M. (2006). Lifespan theory in developmental psychology. In R. M. Lerner ( Ed.), Handbook of child psychology Vol. 1: Theoretical models of human development (6th ed., pp. 569–664). New York, NY: Wiley. doi:10.1002/9780470147658.chpsy0111
   Google Scholar
• Baltes, P., & Nesselroade, J. (1979). History and rationale of longitudinal research. In J. R. Nesselroade & P. Baltes ( Eds.), Longitudinal research in the study of behavior and development ( pp. 1–39). San Diego, CA: Academic Press.
   Google Scholar
• Baltes, P. B., & Smith, J. (2003). New frontiers in the future of aging: From successful aging of the young old to the dilemmas of the fourth age. Gerontology, 49, 123–135. doi:10.1159/000067946
   PubMed Web of Science ®Google Scholar
• Baltes, P. B., & Staudinger, U. M. (1996). Interactive minds: Life-span perspectives on the social foundation of cognition. New York, NY: Cambridge University Press.
   Google Scholar
• Baltes, M. M., & Zerbe, M. B. (1976). Independence training in nursing-home residents. The Gerontologist, 16, 428–432. doi:10.1093/geront/16.5.428
   PubMed Web of Science ®Google Scholar
• Berg, C. A., & Upchurch, R. (2007). A developmental-contextual model of couples coping with chronic illness across the adult life span. Psychological Bulletin, 133, 920–954. doi:10.1037/0033-2909.133.6.920
   PubMed Web of Science ®Google Scholar
• Bergeman, C. S., & Deboeck, P. (2014). Trait stress resistance and dynamic stress dissipation on health and well-being: The reservoir model. Research in Human Development, 11(2), 108–125.
   PubMed Web of Science ®Google Scholar
• Boker, S. M., Molenaar, P. C. M., & Nesselroade, J. R. (2009). Issues in intraindividual variability: Individual differences in equilibria and dynamics over multiple time scales. Psychology and Aging, 24, 858–862. doi:10.1037/a0017912.
   PubMed Web of Science ®Google Scholar
• Blanchard-Fields, F. (2007). Everyday problem solving and emotion: An adult developmental perspective. Current Directions in Psychological Science, 16, 26–31.
   Web of Science ®Google Scholar
• Bronfenbrenner, U. (1979). Ecology of human development. Cambridge, MA: Harvard University Press.
   Google Scholar
• Carstensen, L. L., Turan, B., Scheibe, S., Ram, N., Ersner-Hershfield, H., Samanez-Larkin, G. R., … Nesselroade, J. R. (2011). Emotional experience improves with age: Evidence based on over 10 years of experience sampling. Psychology and Aging, 26, 21–33. doi:10.1037/a0021285
   PubMed Web of Science ®Google Scholar
• Cattell, R. B. (1966). Patterns of change: Measurement in relation to state dimensions, trait change, lability and process concepts. In R. B. Cattell ( Ed.), Handbook of multivariate experimental psychology ( pp. 288–329). Chicago, IL: Rand McNally.
   Google Scholar
• Charles, S. T. (2010). Strength and vulnerability integration: A model of emotional well-being across adulthood. Psychological Bulletin, 136, 1068–1091. doi:10.1037/A0021232
   PubMed Web of Science ®Google Scholar
• Chui, H., Hoppmann, C. A., Gerstorf, D., Walker, R., & Luszcz, M. A. (2014). Cumulative load of depressive symptoms is associated with cortisol awakening response in very old age. Research in Human Development, 11(2), 126–141.
   Web of Science ®Google Scholar
• Eizenman, D. R., Nesselroade, J. R., Featherman, D. L., & Rowe, J. W. (1997). Intraindividual variability in perceived control in an older sample: The MacArthur successful aging studies. Psychology and Aging, 12, 489–502. doi:10.1037/0882-7974.12.3.489
   PubMed Web of Science ®Google Scholar
• Featherman, D. L., & Petersen, T. (1986). Markers of aging: Modeling the clocks that time us. Research on Aging, 8, 339–365. doi:10.1177/0164027586008003001
   PubMed Web of Science ®Google Scholar
• Fingerman, K. L., Sechrist, J., & Birditt, K. (2013). Changing views on intergenerational ties. Gerontology, 59, 64–70. doi:10.1159/000342211
   PubMed Web of Science ®Google Scholar
• Finkel, D., & Pedersen, N. L. (2014). Genetic and environmental contributions to the associations between intraindividual variability in reaction time and cognitive function. Aging, Neuropsychology, and Cognition, doi:10.1080/13825585.2013.874523.
   Google Scholar
• Ford, D. H., & Lerner, R. M. (1992). Developmental systems theory: An integrative approach. Newbury Park, CA: Sage.
   Google Scholar
• Gerstorf, D., & Ram, N. (2012). Late-life: A venue for studying the mechanisms by which contextual factors influence individual development. In S. K. Whitbourne & M. J. Sliwinski ( Eds.), The Wiley-Blackwell handbook of adulthood and aging ( pp. 49–71). Oxford, UK: Wiley-Blackwell. doi:10.1002/9781118392966.ch3.
   Google Scholar
• Gerstorf, D., Windsor, T., Hoppmann, C. A., & Butterworth, P. (2013). Longitudinal change in spousal similarities in mental health: Between-couple and within-couple perspectives. Psychology and Aging, 28, 540–554. doi:10.1037/a0032902.
   PubMed Web of Science ®Google Scholar
• Gottman, J., Swanson, C. & Swanson, K. (2002). A general systems theory of marriage: Nonlinear difference equation modeling of marital interaction. Personality and Social Psychology Review, 6, 326–340. doi:10.1207/S15327957PSPR0604_07
   Web of Science ®Google Scholar
• Hahn, E. A., & Lachman, M. E. (2014). Everyday experiences of memory problems and control: the adaptive role of selective optimization with compensation in the context of memory decline. Aging, Neuropsychology, and Cognition, doi: 10.1080/13825585.2014.888391
   PubMedGoogle Scholar
• Hoppmann, C. A., & Blanchard-Fields, F. (2011). Daily problem solving variability: How is it linked to situation-, person-, and couple-characteristics? Psychology and Aging, 26, 525–531. doi:10.1037/a0024114.
   PubMed Web of Science ®Google Scholar
• Hoppmann, C. A., & Gerstorf, D. (2009). Spousal interrelations in old age. Gerontology, 55, 449–459. doi:10.1159/000211948.
   PubMed Web of Science ®Google Scholar
• Hoppmann, C. A., Gerstorf, D., Smith, J., & Klumb, P. L. (2007). Linking possible selves and behavior: Do domain-specific hopes and fears translate into daily activities in very old age? Journals of Gerontology: Series B, Psychological Sciences, 62, 104–111. doi:10.1093/geronb/62.2.P104.
   PubMed Web of Science ®Google Scholar
• Hoppmann, C. A., & Klumb, P. L. (2006). Daily goal pursuits predict cortisol secretion and mood states in employed parents with preschool children. Psychosomatic Medicine, 68, 887–894. doi:10.1097/01.psy.0000238232.46870.f1.
   PubMed Web of Science ®Google Scholar
• Knott, J. R. (1941). Electroencephalography and physiological psychology: Evaluation and statement of problem. Psychological Bulletin, 38, 944–975. doi:10.1037/h0059465.
   Google Scholar
• Lang, F. R. (2001). Regulation of social relationships in later adulthood. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 56, 321–326. doi:10.1093/geronb/56.6.P321
   PubMed Web of Science ®Google Scholar
• Larson, R., Csikszentmihalyi, M., & Graef, R. (1980). Mood variability and the psychosocial adjustment of adolescents. Journal of Youth and Adolescence, 9, 469–489. doi:10.1007/BF02089885
   PubMed Web of Science ®Google Scholar
• Lawton, M. P. (1982). Competence, environmental press, and the adaptation of older people. In M. P. Lawton, P. G. Windley, & T. O. Byerts ( Eds.), Aging and the environment ( pp. 33–59). New York, NY: Springer.
   Google Scholar
• Lebo, M. A., & Nesselroade, J. R. (1978). Intraindividual differences dimensions of mood change during pregnancy identified in five P-technique factor analyses. Journal of Research in Personality, 12, 205–224. doi:10.1016/0092-6566(78)90098-3
   Web of Science ®Google Scholar
• Li, S.-C. (2003). Biocultural orchestration of developmental plasticity across levels: The interplay of biology and culture in shaping the mind and behavior across the lifespan. Psychological Bulletin, 129, 171–194. doi:10.1037/0033-2909.129.2.171
   PubMed Web of Science ®Google Scholar
• Li, S.-C., Huxhold, O., & Schmiedek, F. (2004). Aging and attenuated processing robustness: Evidence from cognitive and sensorimotor functioning. Gerontology, 50, 28–34. doi:10.1159/000074386
   PubMed Web of Science ®Google Scholar
• Little, T. D., & Rhemtulla, M. (2013). Planned missingness data designs for developmental researchers. Child Developmental Perspectives, 7, 199–204. doi:10.1111/cdep.12043.
   Web of Science ®Google Scholar
• Lövdén, M., Li, S.-C., Shing, Y. L., & Lindenberger, U. (2007). Within-person trial-to-trial variability precedes and predicts cognitive decline in old and advanced old age: Longitudinal data from the Berlin Aging Study. Neuropsychologia, 45, 2827–2838. doi:10.1016/j.neuropsychologia.2007.05.005
   PubMed Web of Science ®Google Scholar
• Macdonald, S. W. S., Hultsch, D. F., & Dixon, R. A. (2008). Predicting impending death: Inconsistency in speed is a selective and early marker. Psychology and Aging, 23, 595–607. doi:10.1037/0882-7974.23.3.595
   PubMed Web of Science ®Google Scholar
• Magnusson, D., & Cairns, R. B. (1996). Developmental science: Toward a unified framework. In R. B. Cairns, G. H. Elder, & E. J. Costello, ( Eds.), Developmental science ( pp. 7–30). New York, NY: Cambridge University Press. doi:10.1017/CBO9780511571114.003
   Google Scholar
• Mejía, S., Hooker, K., Ram, N., Pham, T., & Metoyer, R. (2014). Capturing intraindividual variation and covariation constructs: Using multiple time-scales to assess construct reliability and construct stability. Research in Human Development, 11(2), 91–107.
   Web of Science ®Google Scholar
• Miller, G. E., Cohen, S., & Ritchey, A. K. (2002). Chronic psychological stress and the regulation of pro-inflammatory cytokines: A glucocorticoid-resistance model. Health Psychology, 21, 531–541.
   PubMed Web of Science ®Google Scholar
• Misiak, H. (1951). The decrease of critical flicker frequency with age. Science, 113, 551–552. doi:10.1126/science.113.2941.551.
   PubMed Web of Science ®Google Scholar
• Nesselroade, J. R. (1991). The warp and woof of the developmental fabric. In R. Downs, L. Liben, & D. Palermo ( Eds.), Visions of development, the environment, and aesthetics: The legacy of Joachim F. Wohlwill ( pp. 213–240). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Nesselroade, J. R., & Ram, N. (2004). Studying intraindividual variability: What we have learned that will help us understand lives in context. Research in Human Development, 1, 9–29. doi:10.1207/s15427617rhd0101&2_3
   Web of Science ®Google Scholar
• Piaget, J. (1928). The child’s conception of the world. London, UK: Routledge & Kegan Paul.
   Google Scholar
• Piazza, J. R., Charles, S. T., Sliwinski, M. J., Mogle, J., & Almeida, D. M. (2013). Affective reactivity to daily stressors and long-term risk of reporting a chronic physical health condition. Annals of Behavioral Medicine, 45, 110–120. doi:10.1007/s12160-012-9423-0
   PubMed Web of Science ®Google Scholar
• Ram, N., Conroy, D., Pincus, A., Lorek, A., Rebar, A., Roche, M., … Gerstorf, D. (2014). Examining the interplay of processes across multiple time-scales: Illustration with the Intraindividual Study of Affect, Health, and Interpersonal Behavior (iSAHIB). Research in Human Development, 11(2), 142–160.
   PubMed Web of Science ®Google Scholar
• Ram, N., & Diehl, M. (2014). Multiple time-scale design and analysis: Pushing towards real-time modeling of complex developmental processes. In M. Diehl, K. Hooker, & M. Sliwinski ( Eds.), Handbook of intraindividual variability across the life span ( pp.. New York, NY: Routledge/Taylor & Francis.
   Google Scholar
• Ram, N., & Gerstorf, D. (2009). Time-structured and net intraindividual variability: Tools for examining the development of dynamic characteristics and processes. Psychology and Aging, 24, 778–791. doi:10.1037/a0017915
   PubMed Web of Science ®Google Scholar
• Ram, N., Gerstorf, D., Lindenberger, U., & Smith, J. (2011). Developmental change and intraindividual variability: Relating cognitive aging to cognitive plasticity, cardiovascular lability, and emotional diversity. Psychology and Aging, 26, 363–371. doi:10.1037/a0021500
   PubMed Web of Science ®Google Scholar
• Ram, N., Shiyko, M. P., Lunkenheimer, E. S., Doerksen, S., & Conroy, D. (in press ). Families as coordinated symbiotic systems: Making use of nonlinear dynamic models. In A. Booth, P. Amato, & S. McHale ( Eds.), Emerging methods in family research. New York, NY: Springer. doi:10.1007/978-3-319-01562-0_2
   Google Scholar
• Riediger, M., Wrzus, C., Schmiedek, F., Wagner, G. G., & Lindenberger, U. (2011). Is seeking bad mood cognitively demanding? Contra-hedonic orientation and working-memory capacity in everyday life. Emotion, 11, 656–665. doi:10.1037/a0022756
   PubMed Web of Science ®Google Scholar
• Röcke, C., & Brose, A. (2013). Intraindividual variability and stability of affect and well-being: Short-term and long-term change and stabilization processes. GeroPsych: The Journal of Gerontopsychology and Geriatric Psychiatry, 26, 185–199. doi:10.1024/1662-9647/a000094
   Google Scholar
• Seeman, T. E., & Gruenewald, T. L. (2006). Allostasis and allostatic load over the life course. In P. A. M. van Lange ( Ed.), Medical and psychiatric comorbidity over the course of life ( pp. 179–196). Washington, DC: American Psychiatric Publishers.
   Google Scholar
• Shock, N. W. (1977). System integration. In C. E. Finch & L. Hayflick (Eds.), Handbook of the biology of aging (pp. 639–665). New York: Van Nostrand Reinhold.
   Google Scholar
• Siegler, R. (2006). Microgenetic analyses of learning. In W. Damon, R. M. Lerner, D. Kuhn, & R. Siegler ( Eds.), Handbook of child psychology: Volume 2: Cognition, perception, and language (6th ed., pp. 464–510). Hoboken, NJ: Wiley. doi:10.1002/9780470147658.chpsy0211
   Google Scholar
• Siegler, R. S. (1994). Cognitive variability: A key to understanding cognitive development. Current Directions in Psychological Science, 3, 1–5. doi:10.1111/1467-8721.ep10769817
   Web of Science ®Google Scholar
• Singer, T., Lindenberger, U., & Baltes, P. B. (2003). Plasticity of memory for new learning in very old age: A story of major loss? Psychology and Aging, 18, 306–317. doi:10.1037/0882-7974.18.2.306
   PubMed Web of Science ®Google Scholar
• Sliwinski, M. (2008). Measurement-burst designs for social health research. Social and Personality Psychology Compass, 2, 245–261. doi:10.1111/j.1751-9004.2007.00043.x
   Google Scholar
• Sliwinski, M. J., Smyth, J. M., Hofer, S. M., & Stawski, R. S. (2006). Intraindividual coupling of daily stress and cognition. Psychology and Aging, 21, 545–557. doi:10.1037/0882-7974.21.3.545.
   PubMed Web of Science ®Google Scholar
• Thelen, E., & Smith, L. B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, MA: MIT Press.
   Google Scholar
• van Geert, P. (1991). A dynamic systems model of cognitive and language growth. Psychological Review, 98, 3–53. doi:10.1037/0033-295X.98.1.3
   Web of Science ®Google Scholar
• Vitaliano, P. P., Zhang, J., & Scanlan, J. M. (2003). Is caregiving hazardous to one’s physical health? A meta-analysis. Psychological Bulletin, 129, 946–972. doi:10.1037/0033-2909.129.6.946
   PubMed Web of Science ®Google Scholar
• Zarit, S. H., & Reamy, A. M. (2013). Future directions in family and professional caregiving for the elderly. Gerontology, 59, 152–158. doi:10.1159/000342242
   PubMed Web of Science ®Google Scholar