The Impact of Data Quality Tags on Decision-Making Outcomes and Process

2011 ◽  
Vol 12 (4) ◽  
pp. 323-346 ◽  
Author(s):  
Rosanne Price ◽  
◽  
Graeme Shanks ◽  
2021 ◽  
pp. 0013189X2110400
Author(s):  
Christine Calderon Vriesema ◽  
Hunter Gehlbach

Education researchers use surveys widely. Yet, critics question respondents’ ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents’ (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better understand student satisficing—the practice of suboptimal responding on surveys—and its impact on data quality, we examined its pervasiveness and impact on a large-scale social–emotional learning survey administered to 409,721 elementary and secondary students. Findings indicated that despite the prevalence of satisficing, its impact on data quality appeared more modest than anticipated. We conclude by outlining an accessible approach for defining and calculating satisficing for researchers, practitioners, and policymakers.


2003 ◽  
Vol 14 (2) ◽  
pp. 170-188 ◽  
Author(s):  
Craig W. Fisher ◽  
InduShobha Chengalur-Smith ◽  
Donald P. Ballou

2021 ◽  
Author(s):  
Christine Calderon Vriesema ◽  
Hunter Gehlbach

Education researchers use surveys widely. Yet, critics question respondents’ ability to provide high-quality responses. As schools increasingly use student surveys to drive local policymaking, respondents’ (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision-making. To better understand student satisficing—the practice of sub-optimal responding on surveys—and its impact on data quality, we examined its pervasiveness and impact on a large-scale social-emotional learning survey administered to 409,721 elementary and secondary students. Findings indicated that despite the prevalence of satisficing, its impact on data quality appeared more modest than anticipated. We conclude by outlining an accessible approach for defining and calculating satisficing for researchers, practitioners, and policymakers.


2017 ◽  
Vol 76 (3) ◽  
pp. 107-116 ◽  
Author(s):  
Klea Faniko ◽  
Till Burckhardt ◽  
Oriane Sarrasin ◽  
Fabio Lorenzi-Cioldi ◽  
Siri Øyslebø Sørensen ◽  
...  

Abstract. Two studies carried out among Albanian public-sector employees examined the impact of different types of affirmative action policies (AAPs) on (counter)stereotypical perceptions of women in decision-making positions. Study 1 (N = 178) revealed that participants – especially women – perceived women in decision-making positions as more masculine (i.e., agentic) than feminine (i.e., communal). Study 2 (N = 239) showed that different types of AA had different effects on the attribution of gender stereotypes to AAP beneficiaries: Women benefiting from a quota policy were perceived as being more communal than agentic, while those benefiting from weak preferential treatment were perceived as being more agentic than communal. Furthermore, we examined how the belief that AAPs threaten men’s access to decision-making positions influenced the attribution of these traits to AAP beneficiaries. The results showed that men who reported high levels of perceived threat, as compared to men who reported low levels of perceived threat, attributed more communal than agentic traits to the beneficiaries of quotas. These findings suggest that AAPs may have created a backlash against its beneficiaries by emphasizing gender-stereotypical or counterstereotypical traits. Thus, the framing of AAPs, for instance, as a matter of enhancing organizational performance, in the process of policy making and implementation, may be a crucial tool to countering potential backlash.


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