Matt Georg E, Turingan Maria R, Dinh Quyen T, Felsch Julie A, Hovell Melbourne F, Gehrman Christine
Department of Psychology, San Diego State University, CA 98212-4611, USA. gmatt@sciences,sdsu.edu
Addiction. 2003 Sep;98(9):1239-47. doi: 10.1046/j.1360-0443.2003.00444.x.
This study compared traditional crisp set to fuzzy set representations of quantitative estimates of drug use to investigate what survey respondents recall about their drug use.
Sample survey comparing (a) responses to traditional survey questions asking for single numeric estimates to (b) responses to fuzzy set questions asking for boundary estimates of drug use.
Research facilities of a public university in a large southern California city.
Community residents using tobacco, alcohol, marijuana or amphetamine (n = 88).
Personal interviews in which participants reported onset, frequency and daily rate of tobacco, alcohol, marijuana and amphetamine use based on traditional survey questions and fuzzy set questions.
With the exception of marijuana use, fuzzy boundary estimates differed significantly from the traditional point estimates (P < 0.05). Median retest reliabilities for fuzzy boundary estimates were 0.96 (tobacco), 0.81 (alcohol), 0.96 (marijuana) and 0.95 (amphetamine). The degree of vagueness varied by behavior and drug, with estimates of daily rates showing greatest fuzziness and onset of use showing least fuzziness.
Participants recall more about past drug use than a single numeric estimate. All numeric estimates of drug use showed fuzzy set properties. Compared to traditional self-reports of drug use, fuzzy set representations provide a more complete and detailed description of what participants recall about past drug use.
本研究比较了药物使用定量估计的传统清晰集与模糊集表示法,以调查调查对象对其药物使用的回忆情况。
样本调查,比较(a)对要求提供单一数值估计的传统调查问题的回答与(b)对要求提供药物使用边界估计的模糊集问题的回答。
南加州一个大城市的公立大学的研究机构。
使用烟草、酒精、大麻或安非他命的社区居民(n = 88)。
个人访谈,参与者根据传统调查问题和模糊集问题报告烟草、酒精、大麻和安非他命使用的开始时间、频率和每日使用量。
除大麻使用外,模糊边界估计与传统点估计有显著差异(P < 0.05)。模糊边界估计的重测信度中位数分别为0.96(烟草)、0.81(酒精)、0.96(大麻)和0.95(安非他命)。模糊程度因行为和药物而异,每日使用量的估计显示出最大的模糊性,而使用开始时间的估计显示出最小的模糊性。
参与者对过去药物使用的回忆比单一数值估计更多。所有药物使用的数值估计都显示出模糊集属性。与传统的药物使用自我报告相比,模糊集表示法能更完整、详细地描述参与者对过去药物使用的回忆。