Group Guidance Using the Gestalt Approach in Reducing Adolescent Aggressive Behavior
- DOI
- 10.2991/978-2-494069-35-0_45How to use a DOI?
- Keywords
- Aggressiveness; group guidance; Gestalt approaches
- Abstract
The high level of student aggressiveness encourages the provision of guidance and counseling services to help overcome these problems, one of which is group guidance services with a gestalt approach. This study aims to reveal the effectiveness of group guidance with the Gestalt approach in reducing student aggressiveness. This study uses a quantitative approach. The method used is a quasi-experimental research design with an unequal control group design. The data was collected using a validated aggressiveness questionnaire. The research sample was senior high school Kartika 1–5 students who had high aggressiveness with purposive sampling technique. The data were then analyzed using Wilcoxon to sign the Kolmogorov-Smirnov Ranking Test and Two Samples. Based on these findings, it can be concluded that aggressiveness can be reduced through group guidance with the Gestalt approach.
- 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.
Cite this article
TY - CONF AU - Firman Firman AU - Zikry Latupasjana Ersya PY - 2023 DA - 2023/01/17 TI - Group Guidance Using the Gestalt Approach in Reducing Adolescent Aggressive Behavior BT - Proceedings of the Unima International Conference on Social Sciences and Humanities (UNICSSH 2022) PB - Atlantis Press SP - 365 EP - 373 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-35-0_45 DO - 10.2991/978-2-494069-35-0_45 ID - Firman2023 ER -