Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal INTERDISIPLIN: Journal of Qualitative and Quantitative Research Classroom: Journal of Islamic Education
Bayu Bambang Nurfauji
UIN Sunan Gunung Djati Bandung, Indonesia
Religion Humanities Education Law, Crime, Criminology & Criminal Justice Social Sciences

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A Comparative Analysis of Experimental Research Designs: Pre-Experimental, Quasi-Experimental, and True Experimental in the Development of Islamic Religious Education Research Tedi Priatna; Bayu Bambang Nurfauji; Eli Setia Mukti Sari; Nia Nurmalasari; Shannaz Syahida Fadhilah Andhini
Classroom: Journal of Islamic Education Vol. 3 No. 1 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/classroom.v3i1.57

Abstract

This study aims to comparatively analyze experimental research designs, namely Pre-Experimental Design, Quasi Experimental Design, and True Experimental Design, in the development of Islamic Religious Education (IRE) research. The method employed is a library research approach using descriptive-comparative analysis of relevant books, scientific articles, and academic references. The analysis focuses on the characteristics, strengths, weaknesses, validity levels, and applications of each experimental design in IRE research. The findings indicate that Pre-Experimental Design is suitable for preliminary studies with limited control over variables, although it has low internal validity. Quasi Experimental Design provides a balance between research control and real educational settings, making it widely used in educational research. Meanwhile, True Experimental Design offers the highest level of internal validity through the implementation of randomization and strict control groups. In conclusion, the selection of an experimental design in Islamic Religious Education research should be adjusted to research objectives, participant conditions, and available resources in order to produce valid, reliable, and meaningful findings for the advancement of IRE studies.
A Study of Quantitative, Qualitative, and Mixed Methods Data Analysis Techniques in Indonesian National Journal Articles: Systematic Literature Review Muhammad Raihan As Syauqi; Bayu Bambang Nurfauji; Harkat Hadi Saputra; Yohanna Zuriyah; Tedi Priatna
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 1 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i1.144

Abstract

Data analysis techniques play a crucial role in scientific research as they determine the validity and quality of research findings. Recent developments in Indonesian research indicate an increasing diversity in the use of quantitative, qualitative, and mixed data analysis techniques. Therefore, a comprehensive review is required to systematically examine these developments. This study aims to analyze quantitative and qualitative data analysis techniques used in Indonesian national journal articles. The research employs a Systematic Literature Review (SLR) method by examining national journal articles published in Indonesia from 2021 to 2025. The SLR process was conducted through several stages, including the formulation of research questions, systematic literature searching, article selection based on inclusion and exclusion criteria, and data synthesis and analysis. The results indicate that quantitative data analysis techniques remain dominant, particularly descriptive statistics, regression analysis, correlation analysis, and analysis of variance. Meanwhile, qualitative data analysis techniques such as thematic analysis, narrative analysis, and content analysis are widely used to obtain an in-depth understanding of research phenomena. In addition, the use of mixed methods approaches has shown a growing trend, as they provide more comprehensive and robust research findings. This study is expected to serve as a methodological reference for researchers in selecting appropriate data analysis techniques based on research objectives and data characteristics.
Co-Authors Eli Setia Mukti Sari Harkat Hadi Saputra Muhammad Raihan As Syauqi Nia Nurmalasari Shannaz Syahida Fadhilah Andhini Tedi Priatna Yohanna Zuriyah