H Yanna Yan
Biographic Data
| ID | 4403132 |
|---|---|
| NAME | H Yanna Yan |
| GIVEN NAMES | H Yanna |
| FAMILY NAME | Yan |
| SIGNATURE | YAN H Y |
| AFFILIATIONS | University of Michigan, Ann Arbor, MI, USA |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 24 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 4 |
Professional Respondents in Opt-in Online Panels
Survey researchers often assume that “professional” respondents, those who complete a large number of surveys in opt-in online panels, are more likely than others to provide low-quality responses because their primary motivation is to earn rewards with minimal effort. However, there is little empirical evidence for this assumption. It could also be that professional respondents are willing to expend effort in order to be compensated. We investiga…
The Stability of Economic Correlations over Time
Can Twitter data complement or supplement measures of economic confidence? This possibility was proposed in early work suggesting that sentiment surrounding the word “jobs” on Twitter closely tracked survey measures of consumer confidence. The current study uses knowledge of the processes generating Twitter data to develop and test hypotheses for when social media and survey data might align, and thus when social media processes may reflect surve…
Respondent mode choice in a smartphone survey
Now that people on mobile devices can easily choose their mode of communication (e.g., voice, text, video), survey designers can potentially allow respondents to answer questions in whatever mode they find momentarily convenient given their circumstances or that they chronically prefer. We conducted an experiment to explore how mode choice affects response quality, participation, and satisfaction in smartphone interviews. A total of 1,260 iPhone …
Assessing the Scientific Knowledge of the General Public
There is considerable controversy in the literature about how to measure the knowledge of the general public. Much of the past work concerns political knowledge and has focused on two issues—whether don’t know (DK) responses should be encouraged or discouraged and whether the items should take a multiple-choice or open-ended format. Similar questions have been raised about the best way to measure the public’s knowledge of basic science facts, whi…
Professional Respondents in Opt-in Online Panels
Survey researchers often assume that “professional” respondents, those who complete a large number of surveys in opt-in online panels, are more likely than others to provide low-quality responses because their primary motivation is to earn rewards with minimal effort. However, there is little empirical evidence for this assumption. It could also be that professional respondents are willing to expend effort in order to be compensated. We investiga…
The Stability of Economic Correlations over Time
Can Twitter data complement or supplement measures of economic confidence? This possibility was proposed in early work suggesting that sentiment surrounding the word “jobs” on Twitter closely tracked survey measures of consumer confidence. The current study uses knowledge of the processes generating Twitter data to develop and test hypotheses for when social media and survey data might align, and thus when social media processes may reflect surve…
Assessing the Scientific Knowledge of the General Public
There is considerable controversy in the literature about how to measure the knowledge of the general public. Much of the past work concerns political knowledge and has focused on two issues—whether don’t know (DK) responses should be encouraged or discouraged and whether the items should take a multiple-choice or open-ended format. Similar questions have been raised about the best way to measure the public’s knowledge of basic science facts, whi…
Respondent mode choice in a smartphone survey
Now that people on mobile devices can easily choose their mode of communication (e.g., voice, text, video), survey designers can potentially allow respondents to answer questions in whatever mode they find momentarily convenient given their circumstances or that they chronically prefer. We conducted an experiment to explore how mode choice affects response quality, participation, and satisfaction in smartphone interviews. A total of 1,260 iPhone …
Assessing the Scientific Knowledge of the General Public
There is considerable controversy in the literature about how to measure the knowledge of the general public. Much of the past work concerns political knowledge and has focused on two issues—whether don’t know (DK) responses should be encouraged or discouraged and whether the items should take a multiple-choice or open-ended format. Similar questions have been raised about the best way to measure the public’s knowledge of basic science facts, whi…
Respondent mode choice in a smartphone survey
Now that people on mobile devices can easily choose their mode of communication (e.g., voice, text, video), survey designers can potentially allow respondents to answer questions in whatever mode they find momentarily convenient given their circumstances or that they chronically prefer. We conducted an experiment to explore how mode choice affects response quality, participation, and satisfaction in smartphone interviews. A total of 1,260 iPhone …
The Stability of Economic Correlations over Time
Can Twitter data complement or supplement measures of economic confidence? This possibility was proposed in early work suggesting that sentiment surrounding the word “jobs” on Twitter closely tracked survey measures of consumer confidence. The current study uses knowledge of the processes generating Twitter data to develop and test hypotheses for when social media and survey data might align, and thus when social media processes may reflect surve…
Professional Respondents in Opt-in Online Panels
Survey researchers often assume that “professional” respondents, those who complete a large number of surveys in opt-in online panels, are more likely than others to provide low-quality responses because their primary motivation is to earn rewards with minimal effort. However, there is little empirical evidence for this assumption. It could also be that professional respondents are willing to expend effort in order to be compensated. We investiga…
Psychology (4 works) · Social Psychology (3 works) · Survey Methodology and Nonresponse (3 works) · Business (2 works) · Computer Science (2 works) · Economics (2 works) · Focus Groups and Qualitative Methods (2 works) · Marketing (2 works) · Quality (philosophy (2 works) · Scale (ratio (2 works)