Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/138715
題名: Exploring idiographic approaches to children`s executive function performance: An intensive longitudinal study
作者: 楊佩榮
Yang, Pei-Jung
Yu, Dian
Geldhof, G John
Tyler, Corine P
Gansert, Patricia K
Chase, Paul A
Lerner , Richard M
貢獻者: 社工所
日期: Dec-2020
上傳時間: 11-Jan-2022
摘要: Traditional variable-centered research on executive functions (EFs) often infers intraindividual development using group-based averages. Such a method masks meaningful individuality and involves the fallacy of equating group-level data with person-specific changes. We used an intensive longitudinal design to study idiographic executive function fluctuation among ten boys from Grade 4. Each of the participants completed between 33 and 43 measurement occasions (M = 38.8) across approximately three months. Data were collected remotely using a computerized short version of the Dimensional Change Card Sort task. Multi-group analyses of three participant pairs (Participants 5 and 3, 5 and 2, and 5 and 6) demonstrated that Participant 5 differed from Participants 3 and 2 in different ways but Participants 5 and 6 were similar in all comparisons. Dynamic structural equation modeling demonstrated unique individual trajectories, which were not represented by the trajectory of group-averages. Although more than half of the participants showed a negative association between EFs and inattention, two participants showed a positive association between EF and inattention. This study demonstrated meaningful person-specific trajectories of EFs, suggesting that future study should undertake the analysis of individual development before data-aggregation or generalization from aggregate statistics to individuals.
關聯: Journal of Person-Oriented Research, Vol.6, No.2, pp.73-87
資料類型: article
DOI: https://doi.org/10.17505/jpor.2020.22401
Appears in Collections:期刊論文

Files in This Item:
File Description SizeFormat
157.pdf795.56 kBAdobe PDF2View/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.