APPLICATION OF RASCH MODEL ANALYSIS IN DEVELOPMENT OF SUSTAINABLE BEHAVIOR INSTRUMENTS FOR ENGINEERING STUDENTS

In recent years, issues related to sustainable development become more complex and require future engineers to be prepared to face challenges ahead. Therefore this study was carried out to develop sustainable behavior instrument to assess engineering students’ sustainable behavior and identify whether demographic factors, internal and external factors led to such behavior. 379 respondents were randomly selected in three location of the technical university in Malaysia which are UTHM, UniMAP and UMP. The instrument used was a set of questionnaire is divided into three parts; part A (demography), B (sustainable behavior) and C (factors that influence sustainable behavior). Based on the Rasch model analysis using the Winstep software, the Alpha Cronbach value for knowledge (α = 0.86), social influence (α = 0.85), external motivation (α = 0.68) and internal motivation (α = 0.81) are greater than 0.80 is consider as good and high reliability. The items were selected based on the values of reliability, separation index, Point Measure Correlation (PTMEA CORR), Mean Square (MNSQ) and Z Standard (Zstd). As for the polarities items analysis, the data showed that all items are positive. Meanwhile Point Measure Correlation (PTMEA CORR), Mean Square (MNSQ) and Z Standard (Zstd) were used to determine infit items for each attribute. Consequently, four items were excluded; two items of sustainable development knowledge attribute and two items of social influence attribute. Meanwhile, all items of internal motivation and external motivation attribute are accepted based on the value of mean square (MNSQ) and Z-standardized (ZSTD). Based on difficulty of individual abilities analysis shows that respondents have higher ability in answered items in knowledge, internal and external motivation attribute but has average of ability to answer items in social influence attribute. This study was able to test items validation in the sustainable behavior instrument construction.