Designing a Model to Improve the Quality of Services in Statistical Agencies (Case Study: Statistical Center of Iran)

The aim of this study is to provide a model for improving the quality of statistical services based on the areas of Statistical system, organizational environment, statistical processes and statistical outputs national framework statistical quality assurance. Research has functional purpose, and descriptive and analytical method. The population consisted of two community Statistical Center of Iran experts and users that simple random sampling method was determined. Data collected by two different questionnaires and conceptual research model based on relations of factors affecting the quality of statistical services was defined. The reliability of the questionnaire was measured by calculating Cronbach alpha using path-structural modeling and software SmartPLS3 for the two communities, after drawing model, convergent and divergent validity of tests and questions and Hypothesis of two models was conducted. Results showed that both models have good quality and visible variables affect factor loadings on Structures with different intensity. Finally, the researcher using the results, decided to present model as "analytical model quality statistical service (Adel azar, Abbasi 1394) based on severe impact on the gap between the quality of service provided by the manufacturer and the quality of service received by the data user and proposals to improve the performance of statistics manufacturer and data users according to the type and severity of factors affecting the quality of statistics were presented.