Mair Michael, Barlow Alexandra, Woods Susan E, Kierans Ciara, Milton Beth, Porcellato Lorna
Institute for Health, Liverpool John Moores University, Liverpool, England, UK.
Soc Sci Med. 2006 Feb;62(4):1009-21. doi: 10.1016/j.socscimed.2005.07.002. Epub 2005 Aug 22.
Smoking remains a major problem among young people in Europe. However, within the research community examining the issue, debate continues about the best way of assessing the extent of that problem. Questions have been raised about the extent to which existing techniques for generating statistical representations of patterns of youth smoking can address a range of problems connected with identifying, accounting for and correcting unreliable self-report smoking data. Using empirical data from the UK Liverpool Longitudinal Smoking Study (LLSS), this paper argues that self-report measures of smoking, treated in isolation from participants' personal accounts, can disguise problems with the reliability and validity of a given study. Using longitudinal qualitative and quantitative data in dialogue, two main factors contributing to unreliable data are discussed: (a) participants' access to and familiarity with frameworks of everyday cultural knowledge about the practice of smoking, and (b) participants' retrospective revision of events in line with their current goals, aspirations and self-understandings. The conclusion drawn is that research has to employ multiple methods, minimally incorporating some personal contribution from participants, to explore the complex character of the problem of smoking and to avoid the difficulties posed by the models of smoking behaviour embodied within stand-alone statistical research.
吸烟仍然是欧洲年轻人中的一个主要问题。然而,在研究该问题的学术界,对于评估该问题严重程度的最佳方法仍存在争议。对于现有的生成青少年吸烟模式统计数据的技术,在多大程度上能够解决与识别、解释和纠正不可靠的自我报告吸烟数据相关的一系列问题,人们也提出了疑问。本文利用英国利物浦纵向吸烟研究(LLSS)的实证数据,认为孤立地看待吸烟的自我报告测量方法,而不考虑参与者的个人叙述,可能会掩盖特定研究在可靠性和有效性方面的问题。通过结合纵向定性和定量数据进行探讨,本文讨论了导致数据不可靠的两个主要因素:(a)参与者对吸烟行为的日常文化知识框架的了解程度和熟悉程度;(b)参与者根据其当前目标、抱负和自我认知对事件进行的回顾性修正。得出的结论是,研究必须采用多种方法,至少纳入一些参与者的个人贡献,以探究吸烟问题的复杂特性,并避免独立统计研究中所体现的吸烟行为模型带来的困难。