Coding Methods for Enhanced Manual Data Transcripts: Contributing to Sustainable Development Goals (SDG)
Authors: Jesus Leonora F. de , Andres Teody C. San , Tuazon Christian B. 
Published: July 2024

Objective: The objective of this study is to explore the graduate school writers' intentions and behaviors related to adopting different manual coding methods.
 
Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. In this study, the Theory of Planned Behavior (TPB )stand out, providing a solid basis for understanding the context of the investigation.
 
Method: The methodology adopted for this research comprises Multi-phase Mixed-method; Frequency, Mean and Standard Deviation for quantitative was employed; Different Coding such as Emotion, In-vivo, Descriptive and Axial Coding Methods were also utilized for qualitative part. A probability sampling approach was employed. The Coding Manual for qualitative researchers by Saldana (2014) was adopted for instrumentation.
 
Results and Discussion: The survey reveals a moderate level of understanding and proficiency in manual coding methods and theming. While respondents excel in foundational coding principles, there is room for improvement in using multiple coding methods and in vivo coding. The findings suggest that writers predominantly rely on traditional coding methods, revealing a gap in understanding and application of effective coding techniques and thematic analysis. Bridging the gap between traditional and alternative coding methods is crucial to advancing research practices in graduate school settin.
 
Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of Research. By addressing mentioned challenges, writers can improve the accuracy and depth of their data analysis, leading to more robust and meaningful research outcomes. In conclusion, there is a need to bridge the gap between the traditional coding method currently employed by graduate school writers and the alternative coding methods available. Additionally, providing training and support to enhance their understanding and application of coding methods and thematic analysis will contribute to the advancement of their research practices and ultimately lead to more comprehensive and insightful findings
 
Originality/Value: This study contributes to the literature by providing valuable insights into the prevailing reliance on traditional coding methods among graduate school writers, thereby addressing Sustainable Development Goal (SDG) 4 on quality education. It highlights the associated challenges in effectively coding and theming qualitative data, revealing a gap between awareness and application of alternative coding techniques. The research highlight the urgent need for enhanced training and support in research practices, advocating for increased adoption of more effective coding methods. By improving the accuracy and depth of data analysis, this initiative not only aims to address current shortcomings but also seeks to advance qualitative research practices, fostering more robust and insightful research outcomes in academia