22
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Pretesting survey instruments: an overview of cognitive methods.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This article puts forward the case that survey questionnaires, which are a type of measuring instrument, can and should be tested to ensure they meet their purpose. Traditionally survey researchers have been pre-occupied with 'standardising' data collection instruments and procedures such as question wording and have assumed that experience in questionnaire design, coupled with pilot testing of questionnaires, will then ensure valid and reliable results. However, implicit in the notion of standardisation are the assumptions that respondents are able to understand the questions being asked, that questions are understood in the same way by all respondents, and that respondents are willing and able to answer such questions. The development of cognitive question testing methods has provided social researchers with a number of theories and tools to test these assumptions, and to develop better survey instruments and questionnaires. This paper describes some of these theories and tools, and argues that cognitive testing should be a standard part of the development process of any survey instrument.

          Related collections

          Author and article information

          Journal
          Qual Life Res
          Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
          Springer Science and Business Media LLC
          0962-9343
          0962-9343
          May 2003
          : 12
          : 3
          Affiliations
          [1 ] National Centre for Social Research, London, UK. d.collins@natcen.ac.uk
          Article
          10.1023/a:1023254226592
          12769135
          c2044ca6-3bf5-4a41-bc00-db6c4910c37a
          History

          Comments

          Comment on this article