The Relationship Between the Structure of Interindividual and Intraindividual Variability: A Theoretical and Empirical Vindication of Developmental Systems Theory

By Peter C. M. Molenaar, Hilde M. Huizenga, J. Nesselroade. 2003

186 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/372fc1f3f05d85d9fa9f79e213207c0a15de8f9e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Networks and Communications

In Experimental and Cognitive Psychology

Citations in the corpus

Studying Intraindividual Variability: What We Have Learned That Will Help Us Understand Lives in Context (2004, background): “…over individuals without testing for similarity in the patterns of variability can lead to the aggregation of qualitatively different structures and a distortion of the aggregate into entities that do not actually exist within the group (Daly et al., 1974; Lamiell, 1988; Molenaar et al., 2003).”
Transformations in the Couplings Among Intellectual Abilities and Constituent Cognitive Processes Across the Life Span (2004, background): “This assumption cannot be tested with the present data set (cf. Molenaar et al., 2003, for relevant proofs and simulations).”
Cognition in the Berlin Aging Study (BASE): The First 10 Years (2004, background): “At the same time, such simulations can be used to examine the implications of sample heterogeneity, and other violations of assumptions, for findings about behavioral aging that are based on inter-individual differences in change (e.g., Molenaar et al., 2003).”
UvA-DARE ( Digital Academic Repository ) Simpson ' s paradox in psychological science : a practical guide (2017, background): “For instance, several simulation studies (summarized in Molenaar et al., 2003) have shown that in a population made up entirely of people who (intraindividually) vary along two, three, or four dimensions over time, one may still find that a one-factor model fits the cross-sectional dataset…”
Polychronicity and Multitasking: A Diary Study at Work (2015, background): “First, former studies have often examined multitasking from a differential instead of a temporal angle and produced evidence about between-person relationships that is irrelevant for withinperson relations over time (Molenaar et al., 2003).”
Variability and Variation in Second Language Acquisition Orders: A Dynamic Reevaluation (2015, background): “…interindividual variation cannot be equated with intraindividual variability over time is further supported by Molenaar and colleagues (Molenaar, 2008; Molenaar, Huizenga, & Nesselroade, 2003), who convincingly showed it is mathematically wrong to equate individual behavior with group behavior.”