Is there an association between survey characteristics and representativeness? A meta-analysis

被引:43
作者
Cornesse, Carina [1 ,2 ]
Bosnjak, Michael [3 ,4 ]
机构
[1] Univ Mannheim, Polit Econ Reforms SFB 884, Mannheim, Germany
[2] GESIS Leibniz Inst Social Sci, Mannheim, Germany
[3] ZPID Leibniz Inst Psychol Informat, Trier, Germany
[4] Univ Trier, Trier, Germany
来源
SURVEY RESEARCH METHODS | 2018年 / 12卷 / 01期
关键词
Meta-analysis; survey representativeness; R-indicator; descriptive benchmark comparisons; response rate; nonprobability sampling; mixed mode; web surveys; auxiliary data; NONRESPONSE RATES; WEB SURVEYS; PANEL; BIAS; PROBABILITY; INDICATORS; DESIGN; ISSUES; ERROR;
D O I
10.18148/srm/2018.v12i1.7205
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
How to achieve survey representativeness is a controversially debated issue in the field of survey methodology. Common questions include whether probability-based samples produce more representative data than nonprobability samples, whether the response rate determines the overall degree of survey representativeness, and which survey modes are effective in generating highly representative data. This meta-analysis contributes to this debate by synthesizing and analyzing the literature on two common measures of survey representativeness (R-Indicators and descriptive benchmark comparisons). Our findings indicate that probability-based samples (compared to nonprobability samples), mixed-mode surveys (compared to single-mode surveys), and other-than-Web modes (compared to Web surveys) are more representative, respectively. In addition, we find that there is a positive association between representativeness and the response rate. Furthermore, we identify significant gaps in the research literature that we hope might encourage further research in this area.
引用
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页码:1 / 13
页数:13
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