Featured Article
The Science of the Individual
ABSTRACT
Our goal is to establish a science of the individual, grounded in dynamic systems, and focused on the analysis of individual variability. Our argument is that individuals behave, learn, and develop in distinctive ways, showing patterns of variability that are not captured by models based on statistical averages. As such, any meaningful attempt to develop a science of the individual necessarily begins with an account of the individual variability that is pervasive in all aspects of behavior, and at all levels of analysis. Using examples from fields as diverse as education and medicine, we show how starting with individual variability, not statistical averages, helped researchers discover two sources of ordered variability—pathways and contexts—that have implications for theory, research, and practice in multiple disciplines. We conclude by discussing three broad challenges—data, models, and the nature of science—that must be addressed to ensure that the science of the individual reaches its full potential.
Citing Literature
Number of times cited: 22
- Georgianna L. Martin, Matthew J. Smith and Brittany M. Williams, Reframing Deficit Thinking on Social Class, New Directions for Student Services, 2018, 162, (87-93), (2018).
- Diane Larsen‐Freeman, Looking ahead: Future directions in, and future research into, second language acquisition, Foreign Language Annals, 51, 1, (55-72), (2018).
- Pamela Cantor, David Osher, Juliette Berg, Lily Steyer and Todd Rose, Malleability, plasticity, and individuality: How children learn and develop in context1, Applied Developmental Science, (1), (2018).
- K. Brooke Stafford‐Brizard, Pamela Cantor and L. Todd Rose, Building the Bridge Between Science and Practice: Essential Characteristics of a Translational Framework, Mind, Brain, and Education, 11, 4, (155-165), (2017).
- Diane Larsen-Freeman, Chapter 1. Complexity theory, Complexity Theory and Language Development, 10.1075/lllt.48.2lar
- J. Mitchell and J. Treviranus, Inclusive Design in Ecosystems, E-Health Two-Sided Markets, 10.1016/B978-0-12-805250-1.00006-X, (43-61), (2017).
- Daniel McNeish and Denis Dumas, Nonlinear Growth Models as Measurement Models: A Second-Order Growth Curve Model for Measuring Potential, Multivariate Behavioral Research, 10.1080/00273171.2016.1253451, 52, 1, (61-85), (2016).
- Saba Kasbi and Majid Elahi Shirvan, Ecological understanding of foreign language speaking anxiety: emerging patterns and dynamic systems, Asian-Pacific Journal of Second and Foreign Language Education, 2, 1, (2017).
- Astrid Menninga, Marijn van Dijk, Annemie Wetzels, Henderien Steenbeek and Paul van Geert, Language use in kindergarten science lessons: language production and academic language during a video feedback coaching intervention in kindergarten science lessons, Educational Research and Evaluation, 23, 1-2, (26), (2017).
- Diane Larsen-Freeman, Chapter 1. Complexity Theory, Complexity Theory and Language Development, 10.1075/lllt.48.02lar, (11-50), (2017).
- Kristina Schmid Callina, Diane Ryan, Elise D. Murray, Anne Colby, William Damon, Michael Matthews and Richard M. Lerner, Developing Leaders of Character at the United States Military Academy: A Relational Developmental Systems Analysis, Journal of College and Character, 18, 1, (9), (2017).
- Michael F. Mascolo, Paul Geert, Henderien Steenbeek and Kurt W. Fischer, What Can Dynamic Systems Models of Development Offer to the Study of Developmental Psychopathology?, Developmental Psychopathology, (1-52), (2016).
- Michael F. Mascolo, Beyond Objectivity and Subjectivity: The Intersubjective Foundations of Psychological Science, Integrative Psychological and Behavioral Science, 50, 4, (543), (2016).
- Diane Larsen-Freeman, Classroom-oriented research from a complex systems perspective, Studies in Second Language Learning and Teaching, 6, 3, (377), (2016).
- Henderien W. Steenbeek and Paul L. C. van Geert, A Complexity Approach Toward Mind–Brain–Education (MBE); Challenges and Opportunities in Educational Intervention and Research, Mind, Brain, and Education, 9, 2, (81-86), (2015).
- Michael F. Mascolo and Kurt W. Fischer, Dynamic Development of Thinking, Feeling, and Acting, Handbook of Child Psychology and Developmental Science, (1-49), (2015).
- Daniel S. Busso and Courtney Pollack, No brain left behind: consequences of neuroscience discourse for education, Learning, Media and Technology, 40, 2, (168), (2015).
- David V. Day and Lisa Dragoni, Leadership Development: An Outcome-Oriented Review Based on Time and Levels of Analyses, Annual Review of Organizational Psychology and Organizational Behavior, 2, 1, (133), (2015).
- Paul Van Geert, Dynamic Modeling for Development and Education: From Concepts to Numbers, "Mind, Brain, and Education", 8, 2, (57-73), (2014).
- Alexandra E. MacDougall, John E. Baur, Milorad M. Novicevic and M. Ronald Buckley, Toward the pattern-oriented approach to research in human resources management: A review of configurational and category theorizing, methods, and applications, Research in Personnel and Human Resources Management, 10.1108/S0742-730120140000032004, (177-240), (2014).
- Jiaxian Zhou and Kurt W. Fischer, Culturally Appropriate Education: Insights From Educational Neuroscience, "Mind, Brain, and Education", 7, 4, (225-231), (2013).
- David Osher, Pamela Cantor, Juliette Berg, Lily Steyer and Todd Rose, Drivers of human development: How relationships and context shape learning and development 1 , Applied Developmental Science, 10.1080/10888691.2017.1398650, (1-31), (2018).
