Extension and Application Analysis of Children’s Empathy Quotient-Systemizing Quotient Model Based on Data Mining Techniques

DOI

10.2991/978-94-6463-172-2_10How to use a DOI?

Keywords

empathy; systemizing; information assessment model; autistic spectrum disorders; data mining; norm; data analysis

Abstract

Objective: To use the data mining technique to construct a multidimensional information assessment model of Children’s Empathy Quotient (EQ-C) and Children’s Systemizing Quotient (SQ-C) with certain reliability and validity and establish a regional norm in Guangxi, China, based on this model. Then, with the data analysis, to investigate the developmental patterns and related applications of empathy and systemizing cognitive styles of children aged 3−12. Methods: With a multilevel stratified sampling method, we randomly selected 937 children with ASDs (ASD) and children with healthy controls aged 3−12 years from 5 kindergartens, 3 elementary schools, and 1 ASD group in the Guangxi region according to urban and rural areas, children’s age, and gender, and have their parents fill in the questionnaire. We have carried out item analysis, exploratory factor analysis, and validation factor analysis based on the desensitized data to construct a multidimensional information assessment model and verify the credibility and reliability of the model through further reliability and validity analysis. Through cluster analysis, statistically significant age groups were classified, and a constant model of age groups in the Guangxi region was established. Then make data analysis based on a multidimensional information assessment model and distribution of norms. Results: We obtain a three-dimensional EQ-C information assessment model and a four-dimensional SQ-C information assessment model through data mining. The two models show internal consistency reliability of (0.80, 0.89); the retest reliability coefficients of (0.66, 0.73) and p < 0.001, respectively, and all validity indicators meet the measurement requirements. And built the mean norm and percentile norm of the Guangxi region based on age groups. Conclusion: The three-dimensional EQ-C information assessment model, four-dimensional SQ-C information assessment model, and the norms can effectively reflect the development of empathy cognitive style and systemizing cognitive style of children aged 3−12 years old. According to the data analysis, the developmental patterns of empathy and systemizing cognitive styles of children aged 3−12 years can provide a reference for promoting children’s empathy and systemizing education.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lixia Chen
AU  - Xiaoyu Bai
AU  - Xinghong Deng
AU  - Xinying Li
PY  - 2023
DA  - 2023/06/30
TI  - Extension and Application Analysis of Children’s Empathy Quotient-Systemizing Quotient Model Based on Data Mining Techniques
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 70
EP  - 84
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_10
DO  - 10.2991/978-94-6463-172-2_10
ID  - Chen2023
ER  -