Esmat Hassanpour, Amanullah Soltani, Z. Z. Meymand, A. Tavakoli
{"title":"Structural Equation Modeling of Influential Factors on Academic Well-being of Students in Islamic Azad University-Kerman","authors":"Esmat Hassanpour, Amanullah Soltani, Z. Z. Meymand, A. Tavakoli","doi":"10.32592/ajnpp.2021.8.3.104","DOIUrl":null,"url":null,"abstract":"Background: Academic well-being is a great matter of concern for the researchers interested in the quality of life. The present study aimed to assess and develop an effective model of influential factors on students' academic well-being.\nMaterials and Methods: This descriptive correlational study was conducted using structural equation modeling. The statistical population of this study included all 22,907students of the Islamic Azad University of Kerman during the 2018-19 educational year. Out of this population, 400 subjects were selected using stratified random sampling. A researcher-made questionnaire and educational well-being questionnaire (Tuominen-Soini et al.) were used to assess the influential factors on academic well-being. Data analysis was performed in SPSS software (version 23) and Amos software (version 20) using statistics methods, such as mean, standard deviation, Pearson’s correlation coefficient, multivariate regression, and modeling structural equations.\nResults: The data obtained from structural equation modeling indicated that the extracted conceptual model had acceptable fitness and mentioned variables described influential factors on academic well-being.\nConclusion: As evidenced by the obtained results, it can be concluded that stress, personality, achievement goal orientation, emotional achievements, psychological capitals, internal emotions, self-esteem, environmental supports, class management, and academic achievement were significant predictors of academic well-being.","PeriodicalId":91846,"journal":{"name":"Avicenna journal of neuropsychophysiology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Avicenna journal of neuropsychophysiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32592/ajnpp.2021.8.3.104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Academic well-being is a great matter of concern for the researchers interested in the quality of life. The present study aimed to assess and develop an effective model of influential factors on students' academic well-being.
Materials and Methods: This descriptive correlational study was conducted using structural equation modeling. The statistical population of this study included all 22,907students of the Islamic Azad University of Kerman during the 2018-19 educational year. Out of this population, 400 subjects were selected using stratified random sampling. A researcher-made questionnaire and educational well-being questionnaire (Tuominen-Soini et al.) were used to assess the influential factors on academic well-being. Data analysis was performed in SPSS software (version 23) and Amos software (version 20) using statistics methods, such as mean, standard deviation, Pearson’s correlation coefficient, multivariate regression, and modeling structural equations.
Results: The data obtained from structural equation modeling indicated that the extracted conceptual model had acceptable fitness and mentioned variables described influential factors on academic well-being.
Conclusion: As evidenced by the obtained results, it can be concluded that stress, personality, achievement goal orientation, emotional achievements, psychological capitals, internal emotions, self-esteem, environmental supports, class management, and academic achievement were significant predictors of academic well-being.
背景:学术幸福感是对生活质量感兴趣的研究人员非常关心的问题。本研究旨在评估和开发一个影响学生学业幸福感的有效因素模型。材料和方法:采用结构方程模型进行描述性相关研究。这项研究的统计人群包括2018-19学年克尔曼伊斯兰阿扎德大学的所有22907名学生。从这一人群中,采用分层随机抽样的方法选择了400名受试者。采用研究者编制的问卷和教育幸福感问卷(Tuominen-Soini et al.)对影响学业幸福感的因素进行评估。数据分析在SPSS软件(23版)和Amos软件(20版)中使用统计学方法进行,如均值、标准差、Pearson相关系数、多元回归和结构方程建模。结果:从结构方程模型中获得的数据表明,所提取的概念模型具有可接受的适应度,并且所提到的变量描述了影响学业幸福感的因素。结论:压力、人格、成就目标取向、情感成就、心理资本、内部情绪、自尊、环境支持、班级管理和学业成绩是学业幸福感的重要预测因素。