Mohammad Ali Nadi; Mohammad Hossein Yarmohammadian; Hajar Azizi
Volume 10, Issue 7 , December 2014, , Pages 979-987
Abstract
Introduction: Organizations are the major institutions in the world that their efficiency is dependent on human resources and human performance. Positive attitude towards the job is an important target in any organization to improve the human resources. As long as, there is the interest focuses of researchers ...
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Introduction: Organizations are the major institutions in the world that their efficiency is dependent on human resources and human performance. Positive attitude towards the job is an important target in any organization to improve the human resources. As long as, there is the interest focuses of researchers on informal learning based on job satisfaction impacts. This study investigated the relationship between informal learning and its components with job satisfaction among nurses in governmental teaching hospitals of Isfahan city. Methods: The current research was conducted as a descriptive- correlation study during 2011. The population consisted of the whole nurses (785) in governmental teaching hospitals of Isfahan city. The sample was included about 278 nurses that selected based on Cohen et al table from different departments of governmental teaching hospitals of Isfahan city and was selected by contribution random sampling method. The Informal learning questionnaire of Alonderiene and the job satisfaction questionnaire of Warr et al were used. The validity of content and construct was confirmed and the reliability with Cronbach's alpha calculated 0/73 and 0/89 respectively. The research data analyzed in descriptive (frequency, percent, mean, standard deviation) and inferential (Pearson correlation coefficient and stepwise multiple regression) statistics levels, using SPSS16 software. Findings: There was a positive and meaningful relationships between job satisfaction along with informal learning (r=337/0), the need for acquisition (r=230/0), Positive attitudes of responders (r=0/164), allocation of resources and time (r=120/0) and information (r=303/0). The simultaneous multiple regression results showed that the required acquisition, upstream information and positive attitudes had the ability to predict the job satisfaction which confirmed this relationship in stepwise regression. That is the data collection, requirement to acquisition and positive attitudes towards learning as on 0/089, 0/139, 0/167 had the power to predict job satisfaction. Conclusions: Based on achieved results, we can expect by improving caregivers attitudes toward learning activities and to create a feeling of need to learn among nurses, the job satisfactions of nurses will be improved in teaching hospitals of Isfahan city. It seems that job satisfaction can be determined in terms of need for data acquisition and having a positive attitude on learning. Keywords: Learning; Job Satisfaction; Nurses; Hospitals, Teaching; Hospitals, Public
Zahra Abazari; Tahereh Rigi
Volume 9, Issue 6 , March 2012, , Pages 848-861
Abstract
Introduction: Study habits and skills is one of the most important factors influencing academicachievement of students. The use effective study habits and skills are recommended for the better learningof students. This study investigates the study habits and skills of students of Zahedan University ofMedical ...
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Introduction: Study habits and skills is one of the most important factors influencing academicachievement of students. The use effective study habits and skills are recommended for the better learningof students. This study investigates the study habits and skills of students of Zahedan University ofMedical Sciences, Iran.Methods: This was a descriptive survey. 342 (total 2382) Students of Zahedan University of MedicalSciences were chosen by stratified random sampling (with probability proportional to size) in the secondsemester of 2010-2011. Data were gathered with the Redwood college study habit inventory, whichconsisted of 2 parts including demographic question (10 questions), and general question (51 questions).Its validity was approved by experts, and its reliability was calculated by Cronbach’s Alpha (α = 0.855).Data were analyzed by descriptive statistics (frequency, percentage, and mean), one-way ANOVA, andstudent’s independent t-test in SPSS 15 statistical software. P-values of less than 0.05 were consideredstatistically significant.Results: The main issues of students in respect to study habits and skills were in time management withmean of 2.86, remembering with 2.93, studying a chapter with 2.98, listening and note taking with 3.07,concentration with 3.09, test taking with 3.28, and motivation with 3.38. Girls scored slightly better inremembering, listening and note taking, and motivation. However, boys scored higher in test taking.Conclusion: The results showed that the study habits and skills of students are at a moderate level. Due tothe importance of studying, planning to improve the study habits and skills of students is necessary.
Saeed Samadi; Minoo Nazifi Naeini; Sahar Abbaspour
Volume 8, Issue 7 , January and February 2012, , Pages 948-957
Abstract
Introduction: Using neural networks and genetic algorithms in evaluating health-related variables has increased recently. Employing intelligent tools for diagnosis and treatment of diseases can reduce medical errors and human and financial losses. In this paper, medical applications of ...
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Introduction: Using neural networks and genetic algorithms in evaluating health-related variables has increased recently. Employing intelligent tools for diagnosis and treatment of diseases can reduce medical errors and human and financial losses. In this paper, medical applications of neural networks have been studied in order to help both medical and artificial intelligence researchers. Methods: We used an existing sample in SPSS (patient_los.sav). The sample consisted of patients who received treatment for heart disease. Multilayer perceptron (MLP) was employed to build a neural network to predict the cost and length of treatment. Duration of hospitalization and treatment cost were considered as dependent variables. Other variables were entered into the model as agents or factors. Results: Neural networks can evaluate the outcomes of patients who have or have not undergone surgery. Separate networks can then be used to predict treatment and hospitalization costs and duration provided that the patients who had surgery had been identified. Conclusion: Neural networks designed in this paper can well forecast the usual outcomes of patients. Multilayer neural networks can precisely identify patients who would die after surgery. Non-linear properties of neural networks can help in modeling and forecasting.
