Abstract
Lifespan theories seek to explain the ways that individuals manage their development, staying healthy and content amidst age-related gains and losses. However, the lifespan literature is fragmented, with constructs studied separately rather than in concert. This study addresses these issues, generating evidence regarding the integrative factor structure and well-being implications of developmental self-regulation constructs. An age-diverse adult sample (n = 506) completed scales measuring constructs derived from four primary lifespan theories (dual-process model of assimilative and accommodative coping, motivational theory of life-span development, model of selection, optimization, and compensation, socioemotional selectivity theory), in addition to well-being and social desirability measures, at two time points. Pre-registered hypotheses were largely supported, with a bifactor structure observed, and significant, positive relationships found between the general developmental self-regulation factor (“D”) and well-being. Lending further support, the same bifactor structure was replicated in a separate, hold out cross-sectional sample of age-diverse adults (n = 585).
Similar content being viewed by others
Data of Data, Pre-Registration, Code, and Materials
All data, code, and materials are available in an online appendix on OSF (https://osf.io/9t5za). A masked pre-registration is available on OSF as well (https://osf.io/uwn3m).
References
Baltes, M. M., & Carstensen, L. L. (2003). The process of successful aging: Selection, optimization, and compensation. In U. M. Staudinger & U. Lindenberger (Eds.), Understanding human development (pp. 81–104). https://doi.org/10.1007/978-1-4615-0357-6_5
Baltes, P. B. (1987). Theoretical propositions of life-span developmental psychology: On the dynamics between growth and decline. Developmental Psychology, 23, 611–626. https://doi.org/10.1037/0012-1649.23.5.611
Baltes, P. B., & Baltes, M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In P. B. Baltes & M. M. Baltes (Eds.), Successful aging: Perspectives from the behavioral sciences (pp. 1–34). Cambridge University Press.
Baltes, P. B., Baltes, M. M., Freund, A. M., & Lang, F. (1999). The measurement of selection, optimization, and compensation (SOC) by self report. Berlin, Germany: Max Planck Institute for Human Development.
Baltes, P. B., Lindenberger, U., & Staudinger, U. M. (2007). Life span theory in developmental psychology. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology (pp. 569–664). https://doi.org/10.1002/9780470147658.chpsy0111
Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling, 9, 78–102. https://doi.org/10.1207/s15328007sem0901_5
Boerner, K., & Jopp, D. (2007). Improvement/maintenance and reorientation as central features of coping with major life change and loss: Contributions of three life-span theories. Human Development, 50, 171–195. https://doi.org/10.1159/000103358
Brandtstädter, J., & Renner, G. (1990). Tenacious goal pursuit and flexible goal adjustment: Explication and age-related analysis of assimilative and accommodative strategies of coping. Psychology and Aging, 5, 58–67. https://doi.org/10.1037/0882-7974.5.1.58
Brothers, A., Gabrian, M., Wahl, H.-W., & Diehl, M. (2016). Future time perspective and awareness of age-related change: Examining their role in predicting psychological well-being. Psychology and Aging, 31, 605–617. https://doi.org/10.1037/pag0000101
Burt, C. (1947). (1) Some recent work in factorial analysis and a retrospect. (2) The factorial analysis of human ability. British Journal of Educational Psychology, 17, 40–48. https://doi.org/10.1111/j.2044-8279.1947.tb02207.x
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54, 165–181. https://doi.org/10.1037/0003-066x.54.3.165
Carstensen, L. L., & Lang, F. R. (1996). Future time perspective scale. Stanford University.
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71–75. https://doi.org/10.1207/s15327752jpa4901_13
Diener, E., Wirtz, D., Biswas-Diener, R., Tov, W., Kim-Prieto, C., Choi, D., & Oishi, S. (2009). New measures of well-being: Flourishing and positive and negative feelings. Social Indicators Research, 39, 247–266. https://doi.org/10.1007/978-90-481-2354-4_12
Freund, A. M., & Baltes, P. B. (2002). Life-management strategies of selection, optimization and compensation: Measurement by self-report and construct validity. Journal of Personality and Social Psychology, 82, 642–662. https://doi.org/10.1037/0022-3514.82.4.642
Fung, H. H., Carstensen, L. L., & Lutz, A. M. (1999). Influence of time on social preferences: Implications for life-span development. Psychology and Aging, 14, 595–604. https://doi.org/10.1037/0882-7974.14.4.595
Gerpott, F. H., Lehmann-Willenbrock, N., & Scheibe, S. (2020). Is work and aging research a science of questionnaires? Moving the field forward by considering perceived versus actual behaviors. Work, Aging and Retirement, 6, 65–70. https://doi.org/10.1093/workar/waaa002
Greve, W., & Wentura, D. (2007). Personal and subpersonal regulation of human development: Beyond complementary categories. Human Development, 50, 201–207. https://doi.org/10.1159/000103360
Haase, C. M., Heckhausen, J., & Köller, O. (2008). Goal engagement during the school–work transition: Beneficial for all, particularly for girls. Journal of Research on Adolescence, 18, 671–698. https://doi.org/10.1111/j.1532-7795.2008.00576.x
Haase, C. M., Heckhausen, J., & Silbereisen, R. K. (2012). The interplay of occupational motivation and well-being during the transition from university to work. Developmental Psychology, 48, 1739–1751. https://doi.org/10.1037/a0026641
Haase, C. M., Heckhausen, J., & Wrosch, C. (2013). Developmental regulation across the life span: Toward a new synthesis. Developmental Psychology, 49, 964–972. https://doi.org/10.1037/a0029231
Hays, R. D., Hayashi, T., & Stewart, A. L. (1989). A five-item measure of socially desirable response set. Educational and Psychological Measurement, 49, 629–636. https://doi.org/10.1177/001316448904900315
Heckhausen, J., Schulz, R., & Wrosch, C. (1998). Developmental regulation in adulthood: Optimization in primary and secondary control–A multiscale questionnaire (OPS-Scales). Max Planck Institute for Human Development.
Heckhausen, J., Wrosch, C., & Schulz, R. (2010). A motivational theory of life-span development. Psychological Review, 117, 32–60. https://doi.org/10.1037/a0017668
Henry, H., Zacher, H., & Desmette, D. (2017). Future time perspective in the work context: A systematic review of quantitative studies. Frontiers in Psychology, 8, 413. https://doi.org/10.3389/fpsyg.2017.00413
Henselmans, I., Fleer, J., van Sonderen, E., Smink, A., Sanderman, R., & Ranchor, A. V. (2011). The tenacious goal pursuit and flexible goal adjustment scales: A validation study. Psychology and Aging, 26, 174–180. https://doi.org/10.1037/a0021536
Heyl, V., Wahl, H.-W., & Mollenkopf, H. (2007). Affective well-being in old age: The role of tenacious goal pursuit and flexible goal adjustment. European Psychologist, 12, 119–129. https://doi.org/10.1027/1016-9040.12.2.119
Kooij, D. T., & Kanfer, R. (2019). Lifespan perspectives on work motivation. In B. B. Baltes, C. W. Rudolph, & H. Zacher (Eds.), Work across the lifespan (pp. 475–493). https://doi.org/10.1016/b978-0-12-812756-8.00020-7
Kubicek, B., Korunka, C., Raymo, J. M., & Hoonakker, P. (2011). Psychological well-being in retirement: The effects of personal and gendered contextual resources. Journal of Occupational Health Psychology, 16, 230–246. https://doi.org/10.1037/a0022334
Lang, F. R., & Damm, F. (2017). Perceiving future time across adulthood. In G. Oettingen, A. T. Sevincer, & P. M. Gollwitzer (Eds.), The psychology of thinking about the future (pp. 310–331). Guilford.
Moghimi, D., Zacher, H., Scheibe, S., & Van Yperen, N. W. (2017). The selection, optimization, and compensation model in the work context: A systematic review and meta-analysis of two decades of research. Journal of Organizational Behavior, 38, 247–275. https://doi.org/10.1002/job.2108
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Rauvola, R. S. & Rudolph, C. W. (2022, In Press). Integrating lifespan development theories: Implications for the study of age(ing) and work. In H. Zacher & C.W. Rudolph (Eds.), Age and work: Advances in theory, methods, and practice. Routledge.
R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
Riediger, M., & Ebner, N. C. (2007). A broader perspective on three lifespan theories: Comment on Boerner and Jopp. Human Development, 50, 196–200. https://doi.org/10.1159/000103359
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21, 137–150. https://doi.org/10.1037/met0000045
Rohr, M. K., John, D. T., Fung, H. H., & Lang, F. R. (2017). A three-component model of future time perspective across adulthood. Psychology and Aging, 32, 597–607. https://doi.org/10.1037/pag0000191
Rudolph, C. W. (2016). Lifespan developmental perspectives on working: A literature review of motivational theories. Work, Aging and Retirement, 2, 130–158. https://doi.org/10.1093/workar/waw012
Rudolph, C. W., Kooij, D. T. A. M., Rauvola, R. S., & Zacher, H. (2018). Occupational future time perspective: A meta-analysis of antecedents and outcomes. Journal of Organizational Behavior, 39, 229–248. https://doi.org/10.1002/job.2264
Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, 57, 1069–1081. https://doi.org/10.1037/0022-3514.57.6.1069
Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507–514. https://doi.org/10.1007/bf02296192
Spearman, C. (1927). The abilities of man: Their nature and measurement. Macmillan.
Vincent, D. F. (1953). The origin and development of factor analysis. Journal of the Royal Statistical Society: Series C (applied Statistics), 2, 107–117. https://doi.org/10.2307/2985729
Williams, L. J., & McGonagle, A. K. (2016). Four research designs and a comprehensive analysis strategy for investigating common method variance with self-report measures using latent variables. Journal of Business and Psychology, 31, 339–359. https://doi.org/10.1007/s10869-015-9422-9
Zacher, H., & Frese, M. (2011). Maintaining a focus on opportunities at work: The interplay between age, job complexity, and the use of selection, optimization, and compensation strategies. Journal of Organizational Behavior, 32, 291–318. https://doi.org/10.1002/job.683
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest Statement
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Ethics Approval
Approval was obtained from the Institutional Review Board at Saint Louis University (IRB #29422).
Consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Rauvola, R.S., Rudolph, C.W. An operational integration of lifespan development theories. Curr Psychol 42, 11184–11194 (2023). https://doi.org/10.1007/s12144-021-02385-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12144-021-02385-0