严厉
人气
医学教育
心理学
质量(理念)
研究设计
应用心理学
主题(文档)
医学
计算机科学
社会心理学
社会科学
哲学
几何学
数学
认识论
社会学
图书馆学
作者
Petra Boynton,Trisha Greenhalgh
出处
期刊:BMJ
[BMJ]
日期:2004-05-27
卷期号:328 (7451): 1312-1315
被引量:1007
标识
DOI:10.1136/bmj.328.7451.1312
摘要
Anybody can write down a list of questions and photocopy it, but producing worthwhile and generalisable data from questionnaires needs careful planning and imaginative design
The great popularity with questionnaires is they provide a “quick fix” for research methodology. No single method has been so abused. 1
Questionnaires offer an objective means of collecting information about people's knowledge, beliefs, attitudes, and behaviour.2 3 Do our patients like our opening hours? What do teenagers think of a local antidrugs campaign and has it changed their attitudes? Why don't doctors use computers to their maximum potential? Questionnaires can be used as the sole research instrument (such as in a cross sectional survey) or within clinical trials or epidemiological studies.
Randomised trials are subject to strict reporting criteria,4 but there is no comparable framework for questionnaire research. Hence, despite a wealthof detailed guidance in the specialist literature,1–3> 5 w1-w8 elementary methodological errors are common.1 Inappropriate instruments and lack of rigour inevitably lead to poor quality data, misleading conclusions, and woolly recommendations.w8 In this series we aim to present a practical guide that willenable research teams to do questionnaire research that is well designed, well managed, and non-discriminatory and which contributes to a generalisable evidence base. We start with selecting and designing the questionnaire.
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You and your co-researchers may have different assumptions about precisely what information you would like your study to generate. A formal scoping exercise will ensure that you clarify goals and if necessary reach an agreed compromise. It will also flag up potential practical problems—for example, how long the questionnaire will be and how it might be administered.
As a rule of thumb, if you are not familiar enough with the research area or with a particular population subgroup to predict the range …
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