Social Desirability Bias in Survey Research on Sustainable Development in Small Firms: an Exploratory Analysis of Survey Mode Effect

2011 ◽  
Vol 21 (4) ◽  
pp. 223-235 ◽  
Author(s):  
Banjo Roxas ◽  
Val Lindsay
Keyword(s):  
Sustainable Development ◽  
Survey Research ◽  
Social Desirability ◽  
Small Firms ◽  
Exploratory Analysis ◽  
Social Desirability Bias ◽  
Survey Mode ◽  
Mode Effect

scholarly journals Searching for a Roommate: A Correspondence Audit Examining Racial/Ethnic and Immigrant Discrimination among Millennials

2020 ◽  
Vol 6 ◽  
pp. 237802312097228
Author(s):  
S. Michael Gaddis ◽  
Raj Ghoshal
Keyword(s):  
Predominantly White ◽  
Survey Research ◽  
Asian Indian ◽  
Social Desirability ◽  
Social Desirability Bias ◽  
Hiring Decisions ◽  
Rental Property ◽  
Attitudinal Survey ◽  
Racial Ethnic ◽  
Shed Light

Survey research finds that millennials have less prejudiced views of racial/ethnic minorities than other generations, leading some to label millennials as postracial. However, attitudinal survey research may be subject to social desirability bias because it documents statements or beliefs instead of actions. Moreover, most audit studies focus on people who make hiring decisions or own rental property and are therefore often older than millennials. This study uses a correspondence audit to investigate discrimination among millennials via “roommate wanted” advertisements. We sent over 4,000 emails and found a tiered pattern of discrimination against Asian (Indian and Chinese), Hispanic, and Black room-seekers. However, whether Asian and Hispanic room-seekers face significant discrimination varies based on whether they use predominantly White first names or traditional first names. Our findings shed light on the future of our racial system, expand our knowledge of discrimination beyond the traditional Black/White binary, and illustrate the persistence of anti-Blackness.

scholarly journals Social Desirability Bias in Attitudinal Measures. An Experimental Study Looking at Survey Modes, Respondent Traits and the Desirability of Survey Topics and Individual Questions

2019 ◽  
Author(s):  
Henrik Kenneth Andersen
Keyword(s):  
Social Desirability ◽  
Computer Assisted ◽  
Social Desirability Bias ◽  
Personal Interview ◽  
Negative Attitudes ◽  
Survey Mode ◽  
Mode Effects ◽  
Response Behaviour ◽  
Sensitive Topics ◽  
Confirmatory Factor

This study looks at negative attitudes towards various out-groups and examines in an experimental design the influence of anonymous interview settings on estimates of attitudes towards supposedly sensitive topics. Respondents were presented with instruments meant to measure various forms of prejudice towards out-groups while the interview was conducted at random either as a computer assisted personal interview (CAPI) or computer assisted self interview (CASI). The scales used in this study can be shown to be both reliable as well as valid, furthermore, in accordance with various research by Bierly (1985), Zick et al. (2008) and Heitmeyer (2005) the results of a confirmatory factor analysis (CFA) show various forms of prejudice form a type of generalized attitude. In the more recent articles from Zick et al. (2008), Heitmeyer (2005), Wagner et al. (2008), this is referred to as the ‘Syndrome Group-Focused Enmity’ (GFE). So while both an overarching ‘syndrome’ of prejudice as well as valid and reliable measures of individual forms of prejudice can be empirically confirmed, the results of the analyses show that prejudice towards a specific out-group, let alone a generalized attitude of prejudice, cannot be seen as uniformly desirable. Specific items elicit varying response behaviour. Item- and topic-trait desirabilities were established to help explain the extent to which the survey mode affected estimates. Other respondent- and item-related characteristics also influence SD bias. Survey mode effects are often only seen in conjunction with other factors.

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.

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.

scholarly journals Google, Tell Me. Is He Gay? Masculinity, Heterosexuality, and Gendered Anxieties in Google Search Queries about Sexuality

2021 ◽  
pp. 073112142110019
Author(s):  
Emma Mishel ◽  
Tristan Bridges ◽  
Mónica L. Caudillo
Keyword(s):  
Social Desirability ◽  
Google Trends ◽  
Social Desirability Bias ◽  
Same Sex ◽  
Search Queries ◽  
Sexual Identities ◽  
Google Search

It is difficult to gauge people’s acceptance about same-sex sexualities, as responses to questionnaires are prone to social desirability bias. We offer a new proxy for understanding popular concern surrounding same-sex sexualities: prevalence of Google searches demonstrating concern over gay/lesbian sexual identities. Using Google Trends data, we find that Google searches about whether a specific person is gay or lesbian show patterned bias toward masculine searches, in that such searches are much more frequently conducted about boys and men compared with girls and women. We put these findings into context by comparing search frequencies with other popular Google searches about sexuality and otherwise. We put forth that the patterned bias toward masculine searches illustrates support for the enduring relationship between masculinity and heterosexuality and that it does so on a larger scale than previous research has been able to establish.

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