社会期望偏差
社会期望
响应偏差
心理学
自我报告研究
数据科学
应用心理学
社会心理学
管理科学
计算机科学
工程类
作者
Ahmet Durmaz,İnci Dursun,Ebru Tümer Kabadayı
出处
期刊:Advances in library and information science (ALIS) book series
日期:2020-01-01
卷期号:: 146-185
被引量:7
标识
DOI:10.4018/978-1-7998-1025-4.ch007
摘要
Self-reporting is a frequently used method to measure various constructs in many areas of social science research. Literature holds abundant evidence that social desirability bias (SDB), which is a special kind of response bias, can severely plague the validity and accuracy of the self-report survey measurements. However, in many areas of behavioral research, there is little or no alternative to self-report surveys for collecting data about specific constructs that only the respondents may have the information about. Thus, researchers need to detect or minimize SDB to improve the quality of overall data and their deductions drawn from them. Literature provides a number of techniques for minimizing SDB during survey procedure and statistical measurement methods to detect and minimize the validity-destructive impact of SDB. This study aims to explicate the classical and new techniques for mitigating the SDB and to provide a guideline for the researchers, especially for those who focus on socially sensitive constructs.
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