Related Experiment Video
Updated: Dec 18, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
Published on: September 17, 2019
Studying Within-Person Variation and Within-Person Couplings in Intensive Longitudinal Data: Lessons Learned and to
Andreas B Neubauer1,2, Florian Schmiedek3,4,5
1DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany, neubauer.andreas@dipf.de.
Abstract:
Intensive longitudinal designs (e.g., experience sampling methods, daily diary studies, or ambulatory assessments) continue to gain importance in psychological aging research. Empirical research using these designs has greatly facilitated our understanding of short-term within-person processes and has started to approach the question how these processes shape long-term development across the life span. The aim of this viewpoint article is to point out four key issues in intensive longitudinal designs that in our opinion require more attention than they are currently given: (a) improvement in measurement reliability, (b) the necessity to investigate inter-individual differences in short-term dynamics, (c) considerations of the time scale across which dynamic effects unfold, and (d) targeting causality by incorporating experimental methods in intensive longitudinal designs. We illustrate these four key issues by referring to a prominent example of within-person dynamics in prior empirical research: the within-person coupling of stressor occurrence and well-being (stress reactivity).
More Related Videos
Related Concept Videos
Longitudinal Studies
Longitudinal Research
Cross-Sectional Research
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Correlation of Experimental Data
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...

