The impact of data quality information on decision making: an exploratory analysis

1999 ◽  
Vol 11 (6) ◽  
pp. 853-864 ◽  
Author(s):  
I.N. Chengalur-Smith ◽  
D.P. Ballou ◽  
H.L. Pazer
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Exploratory Analysis ◽  
Quality Information ◽  
The Impact

The Impact of Experience and Time on the Use of Data Quality Information in Decision Making

2003 ◽  
Vol 14 (2) ◽  
pp. 170-188 ◽  
Author(s):  
Craig W. Fisher ◽  
InduShobha Chengalur-Smith ◽  
Donald P. Ballou
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Quality Information ◽  
Use Of Data ◽  
The Impact

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 ◽  
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
The Impact

scholarly journals Assessing Survey Satisficing: The Impact of Unmotivated Questionnaire Responding on Data Quality

2021 ◽  
pp. 0013189X2110400
Author(s):  
Christine Calderon Vriesema ◽  
Hunter Gehlbach
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Secondary Students ◽  
Policy Making ◽  
Large Scale ◽  
Local Policy ◽  
Social Emotional ◽  
Student Surveys ◽  
High Quality ◽  
The Impact

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.

scholarly journals Assessing Survey Satisficing: The Impact of Unmotivated Questionnaire Responding on Data Quality

2021 ◽  
Author(s):  
Christine Calderon Vriesema ◽  
Hunter Gehlbach
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Secondary Students ◽  
Large Scale ◽  
Social Emotional Learning ◽  
Emotional Learning ◽  
Social Emotional ◽  
Student Surveys ◽  
High Quality ◽  
The Impact

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.

Quota Women Are Threatening to Men

2017 ◽  
Vol 76 (3) ◽  
pp. 107-116 ◽  
Author(s):  
Klea Faniko ◽  
Till Burckhardt ◽  
Oriane Sarrasin ◽  
Fabio Lorenzi-Cioldi ◽  
Siri Øyslebø Sørensen ◽  
...  
Keyword(s):  
Decision Making ◽  
Organizational Performance ◽  
Gender Stereotypes ◽  
Perceived Threat ◽  
Preferential Treatment ◽  
Public Sector Employees ◽  
Different Types ◽  
Low Levels ◽  
Women In Decision Making ◽  
The Impact

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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