TY - JOUR
T1 - Using path analysis to understand executive function organization in preschool children
AU - Senn, Theresa E.
AU - Espy, Kimberly Andrews
AU - Kaufmann, Paul M.
N1 - Funding Information:
This research was supported, in part, by grants from the Rita Rudel Foundation, Office of Research Development and Administration, Southern Illinois University; and from the University of Arizona Foundation to Kimberly Andrews Espy.
PY - 2004
Y1 - 2004
N2 - There continues to be no consensus definition of executive functions. One way to understand different executive function components is to study abilities at their emergence, that is, early in development, and use advanced statistical methods to understand the interrelations among executive processes. However, to fully determine the constructs of interest, these methods often require complete data on a large battery of tasks, which are difficult to obtain with young children. Path analysis is an alternative statistical technique that requires only a single measure of each construct, yet still allows researchers to investigate complex relations among measures, to compare nested models, and to compare model fit across groups. Therefore, 117 preschool children (ages 2 years 8 months to 6 years 0 months) completed several executive function tasks. Path analysis was used to determine the relations between complex problem solving and working memory, inhibition, and set shifting processes. The best-fitting model included paths from working memory and inhibition to problem solving, and a correlation between working memory and inhibition. Interestingly, in younger children, inhibition was the strongest predictor of problem solving, whereas working memory contributed more strongly in older children. Suggestions for useful statistical methods to investigate the relations among executive functions in children are discussed.
AB - There continues to be no consensus definition of executive functions. One way to understand different executive function components is to study abilities at their emergence, that is, early in development, and use advanced statistical methods to understand the interrelations among executive processes. However, to fully determine the constructs of interest, these methods often require complete data on a large battery of tasks, which are difficult to obtain with young children. Path analysis is an alternative statistical technique that requires only a single measure of each construct, yet still allows researchers to investigate complex relations among measures, to compare nested models, and to compare model fit across groups. Therefore, 117 preschool children (ages 2 years 8 months to 6 years 0 months) completed several executive function tasks. Path analysis was used to determine the relations between complex problem solving and working memory, inhibition, and set shifting processes. The best-fitting model included paths from working memory and inhibition to problem solving, and a correlation between working memory and inhibition. Interestingly, in younger children, inhibition was the strongest predictor of problem solving, whereas working memory contributed more strongly in older children. Suggestions for useful statistical methods to investigate the relations among executive functions in children are discussed.
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U2 - 10.1207/s15326942dn2601_5
DO - 10.1207/s15326942dn2601_5
M3 - Article
C2 - 15276904
AN - SCOPUS:3943091179
SN - 8756-5641
VL - 26
SP - 445
EP - 464
JO - Developmental Neuropsychology
JF - Developmental Neuropsychology
IS - 1
ER -