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Alcohol use among college students: Generating behavior prediction models for social and personal motivational contexts.

机译:在大学生中使用酒精:针对社交和个人动机环境生成行为预测模型。

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摘要

Alcohol use and abuse are widespread and serious concerns for the college student population (Carnegie Foundation for the Advancement of Teaching, 1990). A multitude of studies have attempted to uncover the factors that influence college students' decisions about alcohol use. However, most preventive intervention programs that draw upon this research have failed to significantly influence college student drinking, suggesting that the complex network of factors involved in these decisions has not yet been uncovered (Meacci, 1990). In the present investigation, behavior prediction models for socially and personally motivated alcohol use among college students were generated through exploratory factor analysis and CALIS structural modeling procedures, instead of forcing the data to fit into a preconceived pattern. Adequate models were constructed for both the social and personal contexts across the model building sample of participants (n = 167). Further, a cross-validation test (n = 45) revealed that the models are likely to generalize to other populations of college students. Supplemental tests of model fit performed on men's (n = 101) and women's (n = 161) responses separately indicated that the social context model best predicts men's college alcohol use. However, women's responses resulted in a less efficient fit to the social context model than did men's responses and a problematic fit to the personal context model. These results suggest that further investigations may be warranted in order to discover optimal models for personal context alcohol use and for women college students' alcohol use.
机译:酗酒和滥用是大学生群体普遍关注的问题(卡内基教学促进基金会,1990年)。大量研究试图揭示影响大学生饮酒决定的因素。但是,大多数基于这项研究的预防性干预计划未能显着影响大学生饮酒,这表明尚未发现影响这些决定的复杂因素网络(Meacci,1990)。在本次调查中,通过探索性因素分析和CALIS结构建模程序,生成了大学生社交和个人使用酒精的行为预测模型,而不是强迫数据适应先入为主的模式。在参与者的模型构建样本(n = 167)中,针对社交和个人环境构建了足够的模型。此外,交叉验证测试(n = 45)显示该模型可能会推广到其他大学生群体。分别对男性(n = 101)和女性(n = 161)的反应进行模型拟合的补充测试表明,社会环境模型可以最好地预测男性的大学饮酒情况。但是,女性的回答导致与男性的回答相比,其对社会环境模型的拟合效率较低,而与个人的上下文模型的拟合却存在问题。这些结果表明,可能有必要进行进一步的调查,以发现针对个人环境饮酒和女大学生饮酒的最佳模型。

著录项

  • 作者

    Robinette, Kerstin Lee.;

  • 作者单位

    Texas Tech University.;

  • 授予单位 Texas Tech University.;
  • 学科 Psychology Behavioral.;Education Health.;Psychology Clinical.;Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 223 p.
  • 总页数 223
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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