The Experts below are selected from a list of 23301 Experts worldwide ranked by ideXlab platform
Kirill Kalinin - One of the best experts on this subject based on the ideXlab platform.
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The Social Desirability Bias in autocrat's electoral ratings: evidence from the 2012 Russian presidential elections
Journal of Elections Public Opinion and Parties, 2016Co-Authors: Kirill KalininAbstract:ABSTRACTIn authoritarian regimes, election polls can be vastly polluted by measurement error, namely the Social Desirability Bias, which can contribute to substantial inflation in the publicized estimates of an autocrat's electoral support and voter turnout, seeming to validate falsified election outcomes that match the inflated estimates. This study provides an in-depth analysis of the magnitude of Social Desirability Bias in polling estimates released before and after the 2012 Russian presidential elections by focusing on the implications of Noelle-Neumann's “spiral of silence” theory. The empirical data analysis is based on list experiments from four data samples collected during the Russian presidential campaign. The estimated magnitude of the Social Desirability Bias in Putin's electoral support is statistically significant and reaches approximately 15%. For voter turnout, however, I find Social Desirability Bias of the same order as in Western democracies. My main conclusions are further validated b...
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A Study of Social Desirability Bias in the Russian Presidential Elections, 2012
2014Co-Authors: Kirill KalininAbstract:In authoritarian regimes election polls can be vastly polluted by the measurement error, namely the Social Desirability Bias, which can contribute to substantial inflation in the publicized estimates of the autocrat's electoral support and voter turnout. This study provides an in-depth analysis of the magnitude of the Social Desirability Bias in polling estimates released before and after the most recent Russian presidential elections by focusing on the implications of Noelle-Neumann's "spiral of silence'' theory. The empirical data analysis is based on list experiments from four data samples collected during the Russian presidential campaign. The estimated magnitude of the Social Desirability Bias in Putin's electoral support is statistically significant and reaches approximately 20%, for the voter turnout, however, my findings are somewhat mixed. My main conclusions are further validated by an alternative urns experiment conducted by one of the national pollsters. The detection of significant Social Desirability Bias in the Russian presidential campaign brings forth the issue of survey research quality in authoritarian regimes and its effect on election outcomes.
Carl A Latkin - One of the best experts on this subject based on the ideXlab platform.
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the relationship between Social Desirability Bias and self reports of health substance use and Social network factors among urban substance users in baltimore maryland
Addictive Behaviors, 2017Co-Authors: Carl A Latkin, Catie Edwards, Melissa Daveyrothwell, Karin E TobinAbstract:Abstract Background Social Desirability response Bias may lead to inaccurate self-reports and erroneous study conclusions. The present study examined the relationship between Social Desirability response Bias and self-reports of mental health, substance use, and Social network factors among a community sample of inner-city substance users. Methods The study was conducted in a sample of 591 opiate and cocaine users in Baltimore, Maryland from 2009 to 2013. Modified items from the Marlowe-Crowne Social Desirability Scale were included in the survey, which was conducted face-to-face and using Audio Computer Self Administering Interview (ACASI) methods. Results There were highly statistically significant differences in levels of Social Desirability response Bias by levels of depressive symptoms, drug use stigma, physical health status, recent opiate and cocaine use, Alcohol Use Disorders Identification Test (AUDIT) scores, and size of Social networks. There were no associations between health service utilization measures and Social Desirability Bias. In multiple logistic regression models, even after including the Center for Epidemiologic Studies Depression Scale (CES-D) as a measure of depressive symptomology, Social Desirability Bias was associated with recent drug use and drug user stigma. Social Desirability Bias was not associated with enrollment in prior research studies. Conclusions These findings suggest that Social Desirability Bias is associated with key health measures and that the associations are not primarily due to depressive symptoms. Methods are needed to reduce Social Desirability Bias. Such methods may include the wording and prefacing of questions, clearly defining the role of “study participant,” and assessing and addressing motivations for Socially desirable responses.
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Social Desirability Bias and Prevalence of Sexual HIV Risk Behaviors Among People Who Use Drugs in Baltimore, Maryland: Implications for Identifying Individuals Prone to Underreporting Sexual Risk Behaviors
AIDS and behavior, 2017Co-Authors: Amrita Rao, Karin E Tobin, Melissa Davey-rothwell, Carl A LatkinAbstract:The role of Social Desirability Bias (SDB) in self-reported HIV risk behaviors continues to be problematic. This study examined whether SDB was associated with self-reported, via audio computer assisted self-interviewing, sexual risk behaviors among people who use drugs. The present study was conducted among 559 participants who reported having a recent sexual partner at their 6-month visit of a longitudinal study. Robust Poisson regression was used to model the association between SDB and five risk behaviors. Analyses were stratified by gender and partner type. Higher scores of SDB were associated with decreased reporting of selling sex and having more than one sexual partner. Higher SDB scores were associated with increased reporting of always using condoms during oral, vaginal, and anal sex. Gender-specific differences were observed. The inclusion of a measure of SDB in data collection, along with other strategies, can be used to both identify and reduce self-report Biases.
Wim Delva - One of the best experts on this subject based on the ideXlab platform.
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evaluating audio computer assisted self interviews in urban south african communities evidence for good suitability and reduced Social Desirability Bias of a cross sectional survey on sexual behaviour
BMC Medical Research Methodology, 2013Co-Authors: Roxanne Beauclair, Fei Meng, Nele Deprez, Marleen Temmerman, Alex Welte, Niel Hens, Wim DelvaAbstract:Background Efficient HIV prevention requires accurate identification of individuals with risky sexual behaviour. However, self-reported data from sexual behaviour surveys are prone to Social Desirability Bias (SDB). Audio Computer-Assisted Self-Interviewing (ACASI) has been suggested as an alternative to face-to-face interviewing (FTFI), because it may promote interview privacy and reduce SDB. However, little is known about the suitability and accuracy of ACASI in urban communities with high HIV prevalence in South Africa. To test this, we conducted a sexual behaviour survey in Cape Town, South Africa, using ACASI methods.
Karin E Tobin - One of the best experts on this subject based on the ideXlab platform.
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the relationship between Social Desirability Bias and self reports of health substance use and Social network factors among urban substance users in baltimore maryland
Addictive Behaviors, 2017Co-Authors: Carl A Latkin, Catie Edwards, Melissa Daveyrothwell, Karin E TobinAbstract:Abstract Background Social Desirability response Bias may lead to inaccurate self-reports and erroneous study conclusions. The present study examined the relationship between Social Desirability response Bias and self-reports of mental health, substance use, and Social network factors among a community sample of inner-city substance users. Methods The study was conducted in a sample of 591 opiate and cocaine users in Baltimore, Maryland from 2009 to 2013. Modified items from the Marlowe-Crowne Social Desirability Scale were included in the survey, which was conducted face-to-face and using Audio Computer Self Administering Interview (ACASI) methods. Results There were highly statistically significant differences in levels of Social Desirability response Bias by levels of depressive symptoms, drug use stigma, physical health status, recent opiate and cocaine use, Alcohol Use Disorders Identification Test (AUDIT) scores, and size of Social networks. There were no associations between health service utilization measures and Social Desirability Bias. In multiple logistic regression models, even after including the Center for Epidemiologic Studies Depression Scale (CES-D) as a measure of depressive symptomology, Social Desirability Bias was associated with recent drug use and drug user stigma. Social Desirability Bias was not associated with enrollment in prior research studies. Conclusions These findings suggest that Social Desirability Bias is associated with key health measures and that the associations are not primarily due to depressive symptoms. Methods are needed to reduce Social Desirability Bias. Such methods may include the wording and prefacing of questions, clearly defining the role of “study participant,” and assessing and addressing motivations for Socially desirable responses.
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Social Desirability Bias and Prevalence of Sexual HIV Risk Behaviors Among People Who Use Drugs in Baltimore, Maryland: Implications for Identifying Individuals Prone to Underreporting Sexual Risk Behaviors
AIDS and behavior, 2017Co-Authors: Amrita Rao, Karin E Tobin, Melissa Davey-rothwell, Carl A LatkinAbstract:The role of Social Desirability Bias (SDB) in self-reported HIV risk behaviors continues to be problematic. This study examined whether SDB was associated with self-reported, via audio computer assisted self-interviewing, sexual risk behaviors among people who use drugs. The present study was conducted among 559 participants who reported having a recent sexual partner at their 6-month visit of a longitudinal study. Robust Poisson regression was used to model the association between SDB and five risk behaviors. Analyses were stratified by gender and partner type. Higher scores of SDB were associated with decreased reporting of selling sex and having more than one sexual partner. Higher SDB scores were associated with increased reporting of always using condoms during oral, vaginal, and anal sex. Gender-specific differences were observed. The inclusion of a measure of SDB in data collection, along with other strategies, can be used to both identify and reduce self-report Biases.
Sangmook Kim - One of the best experts on this subject based on the ideXlab platform.
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national culture and Social Desirability Bias in measuring public service motivation
Administration & Society, 2016Co-Authors: Seung Hyun Kim, Sangmook KimAbstract:Much of what we know about public service motivation comes from self-report measures. However, self-report questionnaires are vulnerable to Social Desirability Bias due to respondents’ tendencies to answer in a more Socially acceptable way. This is a problem as Social Desirability Bias threatens the validity of the measure. This study investigates whether characteristics of national culture influence Social Desirability Bias during surveys on public service motivation. In particular, the impact of Social Desirability Bias is analyzed with two concerns in mind: construct validity and inference validity of public service motivation measures. Experimental survey research (list experiment) is conducted to examine the magnitude of Social Desirability Bias and its associations with national cultures in four countries: Japan, Korea, the Netherlands, and the United States. The results show that respondents in both collectivistic countries (Japan and Korea) and individualistic countries (the Netherlands and the Un...
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Ethnic Differences in Social Desirability Bias: Effects on the Analysis of Public Service Motivation
Review of Public Personnel Administration, 2015Co-Authors: Seung Hyun Kim, Sangmook KimAbstract:Public service motivation (PSM) research heavily relies on self-report measures that are often susceptible to Social Desirability Bias (SDB). Cultural orientation is also correlated with SDB. This study explores the ethnic differences in Socially desirable responding when measuring PSM and job satisfaction in a multicultural but individualistic society like the United States. It tests the magnitude and pattern of SDB in measurements of PSM in this society as a whole, as well as the influence of ethnicity on SDB. The results of our experimental survey research show that SDB is significantly correlated with PSM measures, as well as job satisfaction. We therefore expect a spurious effect to occur in the correlational analysis. This implies that the correlation between job satisfaction and PSM is at least partly spurious due to measurement artifacts. Alternative ways to measure PSM need to be explored to control SDB.
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Social Desirability Bias in Measuring Public Service Motivation
International Public Management Journal, 2015Co-Authors: Seung Hyun Kim, Sangmook KimAbstract:ABSTRACTPublic service motivation (PSM) is usually measured using self-report data, which suggests that PSM measures can be influenced by Social Desirability Bias. This study investigates whether respondents tend to report an inflated view of their attitudes and orientations during surveys on PSM. Experimental survey research (list experiment) is conducted to analyze the magnitude of Social Desirability Bias in PSM measurements and to examine the relationship between socio-demographic factors and Social Desirability Bias in Korea. The results show evidence of Social Desirability responding Bias, although the pattern of Bias varies across socio-demographic subgroups. Respondents in their forties or fifties, conservatives, Protestants, and those without a religious affiliation show more Bias than other subgroups. This finding implies that correlational analysis in PSM research may be prone to the moderating effect of Social Desirability Bias. Research that does not recognize and compensate for this Bias may...
