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  • 标题:Effects of Omitting Non-confounding Predictors From General Relative-Risk Models for Binary Outcomes
  • 本地全文:下载
  • 作者:John Cologne ; Kyoji Furukawa ; Eric J. Grant
  • 期刊名称:Journal of Epidemiology
  • 印刷版ISSN:0917-5040
  • 电子版ISSN:1349-9092
  • 出版年度:2019
  • 卷号:29
  • 期号:3
  • 页码:116-122
  • DOI:10.2188/jea.JE20170226
  • 出版社:Japan Epidemiological Association
  • 摘要:The research aims to examine critical factors that influence the acceptance and use of M-learning among Jordanian student. This study integrates technology acceptance model (TAM) with service quality factor. The primary data were collected from 487 valid questionnaires, which were distributed, to random Jordanian students in four cities. The analyses of the gathered data employed the (SPSS). The validity of the final overall model was evaluated using the statistics and acceptable fit of the measurement model to the data has been demonstrated. Based on the outcomes, the factors with the highest direct effect on Intention to use M-learning appeared to be Attitude toward using M-learning, while the factor with the highest indirect effect on Intention to use M-learning appeared to be Compatibility. The main findings of the study are: trust factor has a significant stronger impact on PEOU and PU. PEOU and PU have the stronger impact on customers' attitude, which in turn influences students’ intention to use M - learning services.
  • 关键词:bias;binary outcomes;general relative-risk model;generalized nonlinear model;logistic regression;omitted covariate
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