1986 ◽  
Vol 18 (1) ◽  
pp. 21-24 ◽  
Author(s):  
David J. Krus ◽  
Susan M. Wilkinson
Keyword(s):  

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Walter R. Schumm ◽  
◽  
Duane W. Crawford ◽  

While a few have argued that social science has been subject to progressive biases, others have discounted such ideas. However, no one has yet performed empirical tests over a large range of studies for such possible bias, which we label macro-level social desirability (MLSD). Combining the results from fifty-nine empirical studies that assessed rates of nonheterosexuality among children of same-sex parents, we found that the higher the maximum rates reported, the less likely those reports were to have been cited in Google Scholar by counts or by annual rate, which may reflect MLSD. However, after several statistical controls, the association for counts became non-significant, while the association for rates became stronger, although the effect sizes were in a moderate (d = .28 or higher) to large range (d, up to .68) by either analysis. Generally, research quality acted as a suppressor variable for MLSD but was significantly related to both counts and rates of citations, indicating that higher quality articles were more likely to have been cited, even controlling for the number of years since first publication. Higher quality articles were slightly more likely to report higher rates of nonheterosexuality among children of same-sex parents. We discuss implications of our findings and suggest future directions of research.


2020 ◽  
Vol 31 (4) ◽  
pp. 437-448
Author(s):  
Hagai Rabinovitch ◽  
Yoella Bereby-Meyer ◽  
David V. Budescu

Choosing between candidates for a position can be tricky, especially when the selection test is affected by irrelevant characteristics (e.g., reading speed). One can correct for this irrelevant attribute by penalizing individuals who have unjustifiably benefited from it. Statistical models do so by including the irrelevant attribute as a suppressor variable, but can people do the same without the help of a model? In three experiments (total N = 357), participants had to choose between two candidates, one of whom had higher levels of an irrelevant attribute and thus enjoyed an unfair advantage. Participants showed a substantial preference for the candidate with high levels of the irrelevant attribute, thus choosing the less suitable candidate. This bias was attenuated when the irrelevant attribute was a situational factor, probably by making the correction process more intuitive. Understanding the intuitive judgment of suppressor variables can help candidates from underprivileged groups boost their chances to succeed.


2006 ◽  
Vol 20 (7) ◽  
pp. 549-566 ◽  
Author(s):  
Kenn Konstabel ◽  
Toivo Aavik ◽  
Jüri Allik

The effect of socially desirable responding (SDR) on the consensual validity of personality traits was studied. SDR was operationalized as the sum of items weighted by their respective social desirability values (Social Desirability Index, SDI), which could be computed for both self‐ and peer‐reports. In addition, the Balanced Inventory of Desirable Responding (BIDR) was used as a measure of SDR. It was shown that both self‐peer and peer‐peer agreement rose significantly for most studied traits when SDI was controlled in both self‐ and peer‐reports. BIDR was a significant suppressor variable in only one of the analyses involving Neuroticism. The SDI detected faking on personality scales somewhat better than the BIDR scales. It is argued that the SDI is a measure of evaluativeness of a person description, and that people agree more on descriptive than on evaluative aspects of a target's personality traits. Copyright © 2006 John Wiley & Sons, Ltd.


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