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Updated: Feb 28, 2026

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Quantitative Methods in Psychological Aging Research: A Mini-Review.

Paolo Ghisletta1, Stephen Aichele

  • 1Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.

Gerontology
|June 19, 2017
PubMed
Summary

Advanced statistical methods improve the study of psychological aging. Novel techniques address incomplete data, non-linear changes, and complex variable relationships for more accurate longitudinal research.

Keywords:
Full information maximum likelihoodGeneralized additive modelsInduction treesMultiple imputationNonlinear mixed-effects modelsRandom forestsRobust statistics

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Area of Science:

  • Gerontology
  • Psychology
  • Statistics

Background:

  • Accurate assessment of longitudinal changes in psychological aging is crucial.
  • Traditional statistical methods may not adequately handle complex associations with other variables.

Purpose of the Study:

  • To review recent statistical advances beneficial for psychological aging research.
  • To highlight novel methods for analyzing longitudinal data and complex relationships.

Main Methods:

  • Comparison of methods for treating incomplete longitudinal data.
  • Discussion of robust statistics for unmet assumptions.
  • Exploration of nonlinear mixed-effects and (generalized) additive models for non-linear phenomena.
  • Introduction to recursive partitioning for complex variable interactions.

Main Results:

  • Novel statistical techniques offer improved solutions for common challenges in psychological aging research.
  • These methods enhance the accuracy of analyzing longitudinal data and complex associations.

Conclusions:

  • Recent statistical advances provide powerful tools for psychological aging researchers.
  • Adoption of these novel methods can lead to more robust and insightful findings.