Abstract
Multifinality, equifinality, and fanning are important developmental concepts that emphasize understanding interindividual variability in trajectories over time. However, each concept implies that there are points in a developmental window where interindividual variability is more limited. We illustrate the multifinality concept under manipulations of variance in starting points, using both normal and zero-inflated simulated data. Results indicate that standardized estimates and effect sizes are inflated when predicting components of growth models with limited interindividual variance, which could lead to overinterpretation of the practical importance of findings. Conceptual implications are considered and recommendations are provided for evaluating developmental changes in common situations that researchers may encounter.
Original language | English (US) |
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Pages (from-to) | 429-439 |
Number of pages | 11 |
Journal | International Journal of Behavioral Development |
Volume | 45 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2021 |
Keywords
- Developmental concepts
- developmental fanning
- equifinality
- longitudinal methodology
- multifinality
ASJC Scopus subject areas
- Social Psychology
- Education
- Developmental and Educational Psychology
- Social Sciences (miscellaneous)
- Developmental Neuroscience
- Life-span and Life-course Studies
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Supplemental Material, sj-txt-1-jbd-10.1177_01650254211020402 - Multifinality, equifinality, and fanning: Developmental concepts and statistical implications
Hinnant, B. (Creator), Schulenberg, J. (Creator) & Jager, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.14758891.v1, https://sage.figshare.com/articles/dataset/Supplemental_Material_sj-txt-1-jbd-10_1177_01650254211020402_-_Multifinality_equifinality_and_fanning_Developmental_concepts_and_statistical_implications/14758891/1
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Multifinality, equifinality, and fanning: Developmental concepts and statistical implications
Hinnant, B. (Creator), Schulenberg, J. (Creator) & Jager, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5460343.v1, https://doi.org/10.25384%2Fsage.c.5460343.v1
Dataset