Panel Data Regression Quantitative Analysis Training for Prospective Young Researchers: Data Analysis and Processing Webinar

Authors

  • Akbar Pratama Kartika Universitas Muhammadiyah Surakarta
  • Deva Diandra Ramadina
  • Haryo Bimo Budi Indrasto

Abstract

This training activity was held with the aim of improving the data processing and analysis skills of young researchers. The activity was carried out online and attended by 69 participants. The results of the questionnaire distribution to the participants showed that 85% of the participants still experienced problems in the data processing process, where the main problem faced was the lack of understanding of the estimation method and systematics of the data processing process. After the training process was carried out, the participants' understanding increased to 80% and 50% of participants expected a follow-up meeting on the data analysis and processing training agenda.

Downloads

Download data is not yet available.

Downloads

Published

2024-12-22

How to Cite

Kartika, A. P., Deva Diandra Ramadina, & Haryo Bimo Budi Indrasto. (2024). Panel Data Regression Quantitative Analysis Training for Prospective Young Researchers: Data Analysis and Processing Webinar. Educate: Journal of Community Service in Education, 4(2), 48–52. Retrieved from http://journal.univetbantara.ac.id/index.php/educate/article/view/5958

Issue

Vol. 4 No. 2 (2024): December

Section

Artikel

License

Copyright (c) 2024 Akbar Pratama Kartika

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with the Educate: Journal of Community Service in Education agree to the following terms:

  • The journal allow the authors to hold the copyright without restrictions and allow the authors to retain publishing rights without restrictions.
  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).


This work is licensed under a Creative Commons Attribution 4.0 International License.