A classification of response scale characteristics that affect data quality: a literature review

被引:142
作者
DeCastellarnau, Anna [1 ,2 ]
机构
[1] Univ Pompeu Fabra, RECSM, Ramon Trias Fargas 25-27,Merce Rodoreda Bldg, Barcelona 08003, Spain
[2] Tilburg Univ, Tilburg, Netherlands
关键词
Data quality; Measurement error; Literature review; Response scale characteristics; Classification; VISUAL ANALOG SCALES; GRAPHIC RATING-SCALES; SURVEY QUESTIONS; VAGUE QUANTIFIERS; OPTIMAL NUMBER; WEB SURVEYS; INTERPRETIVE HEURISTICS; ATTITUDE MEASUREMENT; NUMERIC VALUES; DONT KNOW;
D O I
10.1007/s11135-017-0533-4
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Quite a lot of research is available on the relationships between survey response scales' characteristics and the quality of responses. However, it is often difficult to extract practical rules for questionnaire design from the wide and often mixed amount of empirical evidence. The aim of this study is to provide first a classification of the characteristics of response scales, mentioned in the literature, that should be considered when developing a scale, and second a summary of the main conclusions extracted from the literature regarding the impact these characteristics have on data quality. Thus, this paper provides an updated and detailed classification of the design decisions that matter in questionnaire development, and a summary of what is said in the literature about their impact on data quality. It distinguishes between characteristics that have been demonstrated to have an impact, characteristics for which the impact has not been found, and characteristics for which research is still needed to make a conclusion.
引用
收藏
页码:1523 / 1559
页数:37
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