scholarly journals Social desirability bias in PSM surveys and behavioral experiments: Considerations for design development and data collection

2021 ◽  
pp. 100743
Author(s):  
Leopold Ried ◽  
Stephanie Eckerd ◽  
Lutz Kaufmann
Keyword(s):  
Data Collection ◽  
Social Desirability ◽  
Social Desirability Bias ◽  
Design Development ◽  
Behavioral Experiments

Collecting High-Quality Data

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Social Desirability ◽  
Measurement Errors ◽  
Monitoring And Evaluation ◽  
Quality Data ◽  
Social Desirability Bias ◽  
High Quality ◽  
High Quality Data ◽  
Evaluation Systems ◽  
Demand Effect

Without high-quality data, even the best-designed monitoring and evaluation systems will collapse. Chapter 7 introduces some the basics of collecting high-quality data and discusses how to address challenges that frequently arise. High-quality data must be clearly defined and have an indicator that validly and reliably measures the intended concept. The chapter then explains how to avoid common biases and measurement errors like anchoring, social desirability bias, the experimenter demand effect, unclear wording, long recall periods, and translation context. It then guides organizations on how to find indicators, test data collection instruments, manage surveys, and train staff appropriately for data collection and entry.

Social Conformity and Response Bias Revisited: The Influence of "Others" on Japanese Respondents

Human Affairs ◽  
2010 ◽  
Vol 20 (4) ◽  
Author(s):  
Chisuzu Kondo ◽  
Chiaki Saito ◽  
Ayaka Deguchi ◽  
Miki Hirayama ◽  
Adam Acar
Keyword(s):  
Data Collection ◽  
Response Bias ◽  
Social Desirability ◽  
Social Pressure ◽  
Social Desirability Bias ◽  
Social Conformity ◽  
The Impact

Social Conformity and Response Bias Revisited: The Influence of "Others" on Japanese RespondentsThis study was undertaken to investigate the impact of other respondents' answers on individual responses in survey studies. The study employed four different conditions and manipulated the direction and the level of social pressure. The results have confirmed that social desirability bias hugely impacts individual answers. It was found that respondents are seven times more likely to choose a socially unacceptable option if majority of the preceding respondents also have chosen the same option. Additionally, the existence of an interviewer during data collection was found to be a factor pressuring respondents to give more socially acceptable responses.

scholarly journals Comparison of Data Quality between PAPI and CAPI Modes of Data Collection in Longitudinal Household Surveys: RLMS–HSE Experiment Results

2020 ◽  
Vol 26 (4) ◽  
pp. 8-30
Author(s):  
Aigul Klimova ◽  
Evgeniy Terentev
Keyword(s):  
Experimental Study ◽  
Data Collection ◽  
Data Quality ◽  
Social Desirability ◽  
Social Desirability Bias ◽  
Household Surveys ◽  
Sensitive Questions ◽  
Improve Data Quality ◽  
Monitoring Survey

This article presents the results of an experimental study on how the transition from PAPI to CAPI modes affected data quality in longitudinal household surveys. The study was conducted in 2018–2019 within the Russian Longitudinal Monitoring Survey (RLMS–HSE). In the previous paper, which was based on data from the 26th wave of the RLMS HSE, it was shown that the use of CAPI leads to a significant decrease in the rate of non-substantive responses (“Don’t know”), as well as significant differences in sensitive questions. This paper was aimed at verifying these findings using new data collected during the 27th wave of the RLMS–HSE. The results show that the use of CAPI leads to a decrease in the rate of non-substantive responses, which helps to improve data quality. However, it was shown that the use of CAPI could lead to an increase in social desirability bias.

Tax compliance and social desirability bias of taxpayers: experimental evidence from Indonesia

2021 ◽  
pp. 1-18
Author(s):  
Endra Iraman ◽  
Yoshikuni Ono ◽  
Makoto Kakinaka
Keyword(s):  
Experimental Evidence ◽  
Social Desirability ◽  
Tax Evasion ◽  
Tax Compliance ◽  
Computer Assisted ◽  
Social Desirability Bias ◽  
Lower Income ◽  
Tax Returns ◽  
List Experiment ◽  
Experiment Technique

Abstract Identifying taxpayers who engage in noncompliant behaviour is crucial for tax authorities to determine appropriate taxation schemes. However, because taxpayers have an incentive to conceal their true income, it is difficult for tax authorities to uncover such behaviour (social desirability bias). Our study mitigates the bias in responses to sensitive questions by employing the list experiment technique, which allows us to identify the characteristics of taxpayers who engage in tax evasion. Using a dataset obtained from a tax office in Jakarta, Indonesia, we conducted a computer-assisted telephone interviewing survey in 2019. Our results revealed that 13% of the taxpayers, old, male, corporate employees, and members of a certain ethnic group had reported lower income than their true income on their tax returns. These findings suggest that our research design can be a useful tool for understanding tax evasion and for developing effective taxation schemes that promote tax compliance.

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