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  1 - Identifying the Dimentions and Components of Productivity Model (Sample Study: Principals of Secondary Schools in Lorestan Province)
  Hojat Falahpuor Ebrahim Pourhosseini Shoja Araban
  10.30495/mlseo.2022.691323
  The aim of this study was to identify the dimentions and components of productivity model of education managers in Lorestan province. This research has been done in terms of applied purpose and in terms of mixed (qualitative and quantitative). The statistical population More

  The aim of this study was to identify the dimentions and components of productivity model of education managers in Lorestan province. This research has been done in terms of applied purpose and in terms of mixed (qualitative and quantitative). The statistical population in the qualitative section included 12 experts and in the quantitative section all the principals of the secondary schools in Lorestan province were 411 people. To determine the qualitative sample size by theoretical saturation method and in the quantitative part, from Krejcie-Morgan table, 199 people (102 men and 97 women) were selected as a statistical sample by cluster random sampling method. The research instrument was a researcher-made questionnaire whose validity was assessed by professors and its reliability was assessed by Cronbach's alpha test and the value was 0.82. SPSS.26 software and lisrel structural equations were used for data analysis. The results of the qualitative section with Delphi panel showed that seven components of motivational factors, managerial factors, environmental factors, empowerment factors, acceptance factors, innovation factors and organizational factors and 62 indicators for principals ' productivity were identified. The results of structural equations also showed that the factor load is motivational factors 0.84, managerial factors 0.79, environmental factors 0.80, empowerment factors 0.72, acceptance factors 0.83, innovation factors 0.69 and organizational factors 0.85. Also, all the estimation indicators of the measurement model indicated a good fit of the model. Manuscript profile