Choosing training needs assessment methods using with TOPSIS Technique

The present research aims at providing a framework for selecting the methods and models in consistent with the training needs assessment based on influential factors and criteria. Given the purpose, an applied method of research is used. To collect data, a survey descriptive method of research is used. Statistical population includes all executives and experts in the field of educational need assessment. To select sample members, Purposive Sampling is used. Data collection is performed using both library method to review literature and filed study (distribution and collection of questioner). The validity of the questioner has been assessed and also approved by the experts due to its consistency with the literature. The reliability of the questioner has been approved by its inconsistency rate and repeat testing. Analytical Hierarchy process (AHP) as well as Expert choice software have been used for analyzing data and determining the coefficiency of influencing criteria of needs assessment methods and identification of their priorities. TOPSIS technique and Excel have been also used to determine Closeness Coefficient and the priority of each Training needs assessment method. The results of this study showed that the DACUM technique, Job Analysis technique and, in general, Agreement based, are the most appropriate methods for training needs assessment.