|  |  |  | A Variation 
        on Case Study #1: A graduate student 
        at in his fourth year of study is under pressure to publish a manuscript 
        from his advisor. In addition, the student worries that, if he does not 
        publish soon, he will not be able to get a top-rated postdoctoral position. 
          The student’s research looks at the effects of combinations 
        of certain foods on cholesterol levels in humans. After obtaining approval 
        for the use of human subjects in his study from the Institutional Review 
        Board (IRB), the student recruits 30 subjects for each of his control 
        and treatment groups. For three months, subjects in the treatment group 
        follow a specific diet, have their blood drawn weekly, and keep a food 
        log, whereas subjects in the control group have their blood drawn weekly 
        and keep a food log. During the intervention phase of the study, just 
        over one third of the subjects in the treatment group and one quarter 
        of the control group subjects drop out of the study.  At the end of the intervention, the student is preparing 
        to meet with his advisor regarding his results. To his dismay, the student 
        discovers that the data he has collected different from those obtained 
        in his pilot study and the corresponding results do not support his hypothesis. 
        The student knows that his advisor will require him to collect additional 
        data, which will most likely involve rerunning the experiment. However, 
        he does not feel that he has time to rerun the experiment and, though 
        he enjoyed conducting the study, he is anxious to complete his graduate 
        work and move on to postdoctoral studies. After reflecting on all the 
        time and energy he has invested in this study to date, the student finds 
        himself trying to decide among the following courses of action: 
        Show the data to 
          his advisor and see what his advisor proposes Adjust several 
          of the data points before meeting with his advisor in order to get results 
          closer to those that he anticipated Delay the meeting 
          with his advisor while he figures out what to do 
 
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