Objective : This study aims to develop a comprehensive Local Wisdom Scale based on in-depth interviews, utilizing the Rasch model to ensure the scale's validity and reliability. This study aims to identify and categorize the key components of local wisdom as articulated by community members, while also exploring how contextual factors, such as geographic location.
Method : The measurement tool used consists of 29 items reflecting local wisdom values, which were obtained from in-depth interviews with residents in three tourist villages in Yogyakarta. Following this, a coding process was conducted. The data analysis employed for the validity and reliability tests in this study utilizes the Rasch model approach. The Rasch model is employed to obtain well-fitting items for the questionnaire. This analysis is conducted using Winsteps software.
Findings : The output from the Winsteps program indicates that 14 items align with the Rasch model, with mean Outfit MNSQ values of approximately 0.89 for persons and 0.97 for items. Additionally, the Outfit ZSTD values for persons and items are approximately 0.01 and 0.27, respectively. The reliability of the instrument, expressed in terms of Cronbach's alpha, is 0.93. The analysis revealled that no items indicated as having potentially bias on location.
Limitations: The limitations of data collection locations which only reflect the local wisdom of a small portion of the population
Future Research: In future studies, it is important to consider Differential Item Functioning (DIF) beyond just location (rural and urban). Other variables, such as gender, should also be taken into account for DIF testing.
