جستجوی مقالات مرتبط با کلیدواژه « هنجاریابی » در نشریات گروه « کتابداری و مدیریت اطلاعات »

Study evaluated the internal structure of Ellis information seeking model in the student community with the aim of presenting the Persian norm.

This is a descriptive-analytical study conducted by cross-sectional survey method in the second semester of the academic year 1399-1400. Population comprise of 280 graduate students at Ahvaz Jundishapur University of Medical Sciences. Data collection tool is a questionnaire based on Ellis information seeking behavior pattern with 41 questions. Findings were analyzed using SPSS software and Amos.

Results of exploratory factor analysis by principal component method with Varimax cycle led to identify five factors of identification, confirmation and organization; Monitoring, conservation and extraction; Relevance; Availability and up-to-datedness and credit factor. The extracted five-factor pattern explains more than 66% of the changes in information seeking behavior. The results of confirmatory factor analysis indicate the optimal fit of the extracted pattern. All factors had good consistency and Cronbach's total alpha of the instrument was 0.97.

The five-factor pattern of web-based information retrieval behavior is a new self-report tool for assessing the nature of academic user retrieval behavior on the Web. This pattern is based on Ellis's information pattern in terms of content and items used, but it differs from it in terms of subscale.

The aim of this research is to study the Construction and Standardization of measurement scale for studies that study the use of Internet Of Things.

Combination of descriptive developmental method used in this research. Statistical population of this research includes 8700 specialists of Internet Of Things with activity experience in companies of knowledge foundation in 2018, Of this community, 490 people have been selected as the sample using the Cochran formula. Statistical sample selected by cluster sampling method since first half of may unit first half of June in 2018.

Based on qualitative and quantitative criteria of the research, collected tools include 35 markers for the evaluation of 5 components. Test questions prepared based on theoretical literature. Test of measurement scale of Internet Of Things usage includes 5 parts: (training, research and scientific production, executive works, innovation, marketing and scales), and its content – related validity confirmed by professors and implemented on statistical sample. Based on implemented calculations of interior similarity coefficient, rate of micro scales of training, research and scientific production executive works, innovation, marketing and scales are respectively 0/83, 0/93, 0/96, 0/89, 0/82, and total test score is 0/95. Analysis method with varimax rotation used to determine structure validity and test components.

With respect to obtained validity and reliability, test of Internet Of Things usage is a tool that may be used for centers related to Internet Of Things research.