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V. DESIGN‐BASED APPROACHES FOR IMPROVING MEASUREMENT IN DEVELOPMENTAL SCIENCE
Author(s) -
Rush Jonathan,
Hofer Scott M.
Publication year - 2017
Publication title -
monographs of the society for research in child development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.618
H-Index - 63
eISSN - 1540-5834
pISSN - 0037-976X
DOI - 10.1111/mono.12299
Subject(s) - variation (astronomy) , construct (python library) , perspective (graphical) , psychology , developmental science , construct validity , term (time) , cognitive psychology , developmental psychology , psychometrics , computer science , artificial intelligence , physics , quantum mechanics , astrophysics , programming language
The study of change and variation within individuals, and the relative comparison of changes across individuals, relies on the assumption that observed measurements reflect true change in the construct being measured. Measurement properties that change over time, contexts, or people pose a fundamental threat to validity and lead to ambiguous conclusions about change and variation. We highlight such measurement issues from a within‐person perspective and discuss the merits of measurement‐intensive research designs for improving precision of both within‐person and between‐person analysis. In general, intensive measurement designs, potentially embedded within long‐term longitudinal studies, provide developmental researchers an opportunity to more optimally capture within‐person change and variation as well as provide a basis to understand changes in dynamic processes and determinants of these changes over time.