Presenting a desirable pattern for selecting the Faculty Members in Iranian universities

This study aimed at providing a desirable model for selection the faculty members for universities in Iran. Both qualitative and quantitative approaches were used in three successive stages. The method of this study was inductive exploratory, cross-sectional, and developmental study. The data were collected by using non-interactive method (library and content analysis) and survey method (open, structured and Semi-structured questionnaires). The Statistical population included all the faculty members in universities in Iran (with the exception of Universities of Medical Sciences and Health Services). For content analysis, the texts were selected based on theoretical sampling which is commonly used method in grounded theory strategy. Using snowball method, 21 experts participated in semi-structured interviews. In confirmatory factor analysis stage, the sample size was determined to be 360 participants; also, 20 experts completed the ANP questionnaire. In the first stage, the qualitative data were analyzed in the process of conducting grounded theory; this led to design of initial model. Then, using a quantitative approach, the conceptual model was validated and the final criteria for selecting faculty members were determined by using confirmatory factor analysis in software SPSS. The cluster network analysis process in software Super decision was used to determine the importance of each of the dimensions, criteria, and indicators of model. Then, the final model was provided. This model may be used for selection of faculty members and also for its pathology in universities in Iran.