SURVEY PRETESTING - DO DIFFERENT METHODS PRODUCE DIFFERENT RESULTS

被引:134
|
作者
PRESSER, S
BLAIR, J
机构
来源
关键词
D O I
10.2307/270979
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
Pretesting is generally agreed to be an indispensable stage in survey questionnaire development, yet we know little about how well different pretesting methods identify particular types of problems. This study compared four pretesting methods using a single questionnaire in repeated trials of each. The four methods were conventional pretests, behavior coding, cognitive interviews, and expert panels. We developed a model-based coding scheme that classified problems as respondent-semantic, respondent-task, interviewer-task, or analysis. On average, expert panels were most productive in the number of problems identified. Conventional pretesting and behavior coding were the only methods to identify significant numbers of interviewer problems. By contrast, expert panels and cognitive interviews were the only methods to diagnose a nontrivial number of analysis problems. Expert panels and behavior coding were more consistent than the other methods in the numbers of problems identified across trials, as well as in their distribution of problem types. From the vantage point of the particular problems identified, behavior coding was the most reliable method. Costs of the conventional pretests and behavior coding were about the same, cognitive interviews were somewhat less expensive, and expert panels were considerably cheaper.
引用
收藏
页码:73 / 104
页数:32
相关论文
共 50 条
  • [31] Measuring healthcare expenditure: different methods, different results
    Keegan, C.
    Connolly, S.
    Wren, M. -A.
    IRISH JOURNAL OF MEDICAL SCIENCE, 2018, 187 (01) : 13 - 23
  • [32] DO DIFFERENT INVESTIGATORS SOMETIMES PRODUCE DIFFERENT MULTIVARIABLE EQUATIONS FROM THE SAME DATA
    NAFTEL, DC
    JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 1994, 107 (06): : 1528 - 1529
  • [33] Response Scales in Voting Advice Applications: Do Different Designs Produce Different Outcomes?
    Rosema, Martin
    Louwerse, Tom
    POLICY AND INTERNET, 2016, 8 (04): : 431 - 456
  • [34] Author Correction: Microbiome differential abundance methods produce different results across 38 datasets
    Jacob T. Nearing
    Gavin M. Douglas
    Molly G. Hayes
    Jocelyn MacDonald
    Dhwani K. Desai
    Nicole Allward
    Casey M. A. Jones
    Robyn J. Wright
    Akhilesh S. Dhanani
    André M. Comeau
    Morgan G. I. Langille
    Nature Communications, 13
  • [35] Different Prenatal Antibody Titration Methods May Produce Variable Results with Profound Clinical Implications
    Oliveira, M.
    Fountain, D. M.
    Dunn-Alabanese, L. R.
    Savage, W. J.
    Kaufman, R. M.
    TRANSFUSION, 2014, 54 : 163A - 163A
  • [36] Do different methods for measuring joint moment asymmetry give the same results?
    Jafarnezhadgero, AmirAli
    Madadi-Shad, Morteza
    Esker, Fatemeh Salari
    Robertson, D. G. E.
    JOURNAL OF BODYWORK AND MOVEMENT THERAPIES, 2018, 22 (03) : 741 - 746
  • [37] Bird surveys in grasslands: do different count methods present distinct results?
    Carla Suertegaray Fontana
    Eduardo Chiarani
    Luciana da Silva Menezes
    Christian Borges Andretti
    Gerhard Ernst Overbeck
    Revista Brasileira de Ornitologia, 2018, 26 (2): : 116 - 122
  • [39] Bird surveys in grasslands: do different count methods present distinct results?
    Fontana, Carla Suertegaray
    Chiarani, Eduardo
    Menezes, Luciana da Silva
    Andretti, Christian Borges
    Overbeck, Gerhard Ernst
    REVISTA BRASILEIRA DE ORNITOLOGIA, 2018, 26 (02) : 116 - 122
  • [40] Comparing Traditional and Crowdsourcing Methods for Pretesting Survey Questions
    Edgar, Jennifer
    Murphy, Joe
    Keating, Michael
    SAGE OPEN, 2016, 6 (04):