2021
DOI: 10.3102/0013189x211040054
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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-scal… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(12 citation statements)
references
References 24 publications
(30 reference statements)
0
11
0
Order By: Relevance
“…Due to the sequential design, we removed raters who did not complete all ratings. We also removed raters who used 2 or fewer response items on the 5-item survey because this may be a sign of inattention and poor rater quality [ 24 ]. We defined outliers as raters who reduced the interrater reliability of their task by 0.1 or more.…”
Section: Methodsmentioning
confidence: 99%
“…Due to the sequential design, we removed raters who did not complete all ratings. We also removed raters who used 2 or fewer response items on the 5-item survey because this may be a sign of inattention and poor rater quality [ 24 ]. We defined outliers as raters who reduced the interrater reliability of their task by 0.1 or more.…”
Section: Methodsmentioning
confidence: 99%
“…We sought at least 8 raters per response after removing raters with indications of inattention or low contributions to reliability [ 28 ]. Ratings were aggregated across raters, items, and vignettes to create an overall score for each resident at time 1 and at time 2.…”
Section: Methodsmentioning
confidence: 99%
“…In practice, satisficing results in a number of response behaviors that lead to low-quality survey data: these include (1) rushing through a survey; (2) selecting the first reasonable answer; (3) agreeing with all statements presented on the survey; (4) selecting the same options repeatedly, in a straight line (socalled straightlining); (5) selecting ''don't know'' or ''not applicable'' without actually thinking about the question being asked; and (6) skipping items or entire sections of a survey. 2 Satisficing is epitomized by this quote from a resident at a large Midwestern academic medical center who was asked about their survey behaviors: ''A lot of the time. .…”
Section: Motivation and Satisficingmentioning
confidence: 99%
“…One weakness, supported by decades of empirical evidence in fields like public opinion polling, sociology, and psychology, is that low levels of respondent motivation can lead to poorquality data. 2 In GME the problem may be even more acute, as resident physicians have many competing time constraints, including clinical and educational responsibilities, as well as life beyond work. These and other constraints make prioritizing surveys difficult, regardless of the merit of any particular GME study or evaluation effort.…”
mentioning
confidence: 99%