Which scale short form development method is better? A Comparison of ACO, TS, and SCOFA

The purpose of this study is to identify which scale short-form development method produces better findings in different factor structures. A simulation was designed based on purpose. Three structures and three conditions were selected. As the study, model-data fit reliability coefficients reported for each structure condition. All analyses conducted under R environment. According increase level misspecification decrease sample size can significantly affect fit. In a situation where getting more complex, Omega decrease. For scales with unidimensional structure, all methods are recommended. multidimensional Ant Colony Optimization, Stepwise Confirmatory Factor Analysis algorithms bifactor ACO algorithm When viewed from framework metaheuristic algorithms, it has been identified that than Tabu Search.