TY - JOUR
T1 - Individual change and the timing and onset of important life events
T2 - Methods, models, and assumptions
AU - Grimm, Kevin
AU - Marcoulides, Katerina
N1 - Funding Information:
This research has been supported by National Science Foundation Grant REAL-1252463 awarded to the University of Virginia, David Grissmer (PI) and Christopher Hulleman (Co-PI).
Publisher Copyright:
© International Society for the Study of Behavioural Development.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Researchers are often interested in studying how the timing of a specific event affects concurrent and future development. When faced with such research questions there are multiple statistical models to consider and those models are the focus of this paper as well as their theoretical underpinnings and assumptions regarding the nature of the effect of the event on the developmental process. We discuss three models, all variants of growth models specified within the multilevel modeling framework, which conceptualize the developmental process and the effect of the event in different ways. These models include the growth model with a time-invariant covariate, the growth model with a time-varying covariate, and the spline growth model. After discussing the models in detail, we applied these models to longitudinal data from the Berkeley Growth Study to examine cognitive changes during infancy and the effect of independent sitting on those changes. Results suggest that research conclusions depend on the model chosen and how certain results can be misconstrued unless the model accurately reflects the research questions. Recommendations and additional non-traditional models are discussed.
AB - Researchers are often interested in studying how the timing of a specific event affects concurrent and future development. When faced with such research questions there are multiple statistical models to consider and those models are the focus of this paper as well as their theoretical underpinnings and assumptions regarding the nature of the effect of the event on the developmental process. We discuss three models, all variants of growth models specified within the multilevel modeling framework, which conceptualize the developmental process and the effect of the event in different ways. These models include the growth model with a time-invariant covariate, the growth model with a time-varying covariate, and the spline growth model. After discussing the models in detail, we applied these models to longitudinal data from the Berkeley Growth Study to examine cognitive changes during infancy and the effect of independent sitting on those changes. Results suggest that research conclusions depend on the model chosen and how certain results can be misconstrued unless the model accurately reflects the research questions. Recommendations and additional non-traditional models are discussed.
KW - Longitudinal
KW - change
KW - cognitive development
KW - growth model
KW - spline
KW - time-varying covariate
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U2 - 10.1177/0165025415580806
DO - 10.1177/0165025415580806
M3 - Article
AN - SCOPUS:84951299766
SN - 0165-0254
VL - 40
SP - 87
EP - 96
JO - International Journal of Behavioral Development
JF - International Journal of Behavioral Development
IS - 1
ER -