Directed network analysis of 2-year-old and 4-year-old children
Data files
Dec 30, 2024 version files 39.15 KB
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Directed_network_of_2_and_4_YO_childlen.xlsx
36.20 KB
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README.md
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Abstract
This dataset includes triaxial acceleration data collected from 60 children (2- and 4-year-olds) across three childcare facilities during a 15-minute free play session. Dyadic (two-person) and triadic (three-person) peer relationships were analyzed using a novel-directed network analysis method, offering insights into age and sex differences in peer interactions. The dataset includes normalized connection counts, demographic details, and detailed analyses of interaction directionality. This research validates the application of network analysis in early childhood studies, reducing observational biases and labor-intensive manual coding, and provides a framework for exploring complex social dynamics in naturalistic play settings.
README: Directed network analysis of 2-year-old and 4-year-old children
https://doi.org/10.5061/dryad.63xsj3vbx
Description of the data and file structure
Dataset Overview:
This dataset contains information about directed networks among 2-year-old and 4-year-old children. The data reflects interactions in terms of directed connections from one child to another, categorized by their unique identifiers and demographics.
Files and variables
File: Directed_network_of_2_and_4_YO_childlen.xlsx
The Excel file consists of four sheets as follows:
Sheet1: Dyad
Sheet2: Triad
Sheet3: Directed NW
Sheet4: Directed NW among individuals
Sheet description and variables
Sheet 1: Dyad
This sheet includes each child's age, gender, and the number of Dyads for each facility. Using this data, comparisons of the number of Dyads were conducted between different ages and genders.
Variables in each column
- Facility (A/B/C)
- Age (2-year-old/4-year-old)
- Sex (M= male/F = female)
- The number of Dyad [Number]
Sheet 2: Triad
This sheet includes each child's age, gender, and the number of Triads for each facility. Using this data, comparisons of the number of Dyads were conducted between different ages and genders.
Variables in each column
- Facility (A/B/C)
- Age (2-year-old/4-year-old)
- Sex (M= male/F = female)
- The number of Triad [Number]
Sheet 3: Directed NW
This sheet includes each child's age, gender, and the type and number of Proactive or Reactive networks for each facility. Using this data, comparisons were made between the number of Proactive and Reactive networks across different ages and genders.
Variables in each column
- Facility (A/B/C)
- Age (2-year-old/4-year-old)
- Sex (M= male/F = female)
- Condition (Proactive/Reactive)
- The number of network [Number]
Sheet 4: Directed NW among individuals
This sheet includes each child's age, gender, source ID (#source), target ID (#Target), and the number of networks connecting the two for each facility. Using this data, we calculated the networks between ages and between genders and conducted comparisons by age and gender.
- Facility (A/B/C)
- Age (2-year-old/4-year-old)
- Source ID (#source)
- Sex (M= male/F = female)
- Target ID (#Target)
- Condition (Proactive/Reactive)
- The number of network [Number]
Usage Notes:
- Data are anonymized.
- The dataset supports analyses of social-emotional development in early childhood settings.
- Ensure correct attribution when using or citing this dataset. Ethical Compliance: Data collection adhered to the Declaration of Helsinki and was approved by the Waseda University Ethics Committee (Approval Number: 2023-044).
Contact:
For additional details, contact the corresponding author: Dr. Norikazu Hirose (toitsu_hirose@waseda.jp).
Methods
Participants:
The study involved 60 children, with equal representation of 2- and 4-year-olds, across three childcare facilities. Informed consent was obtained from the participants' legal guardians following ethical guidelines.
Data Collection:
Participants wore wristwatch-style triaxial accelerometers (Silmee W22, TDK) during a 15-minute free play session. Acceleration data were recorded at 20 Hz to measure individual movement intensity and calculate dyadic and triadic peer relationships.
Data Processing:
- Normalization: Acceleration data were aggregated into 1-second intervals and normalized using Sturges’ formula to account for individual variability.
- Network Analysis: Connections were quantified using directed graph analysis, identifying dyads and triads based on movement entropy thresholds. Entropy values ranged from 0 to 1, representing interaction strength.
Statistical Analysis:
Chi-square tests and ANOVAs were performed to analyze age, sex, and directional differences in peer relationships. Data standardization addressed variations in potential pairings across groups.
Tools and Software:
Analysis was conducted using IBM SPSS (ver. 29.0) and a custom network analysis system developed by Hitachi Ltd.