Web Survey Bibliography
Title Web survey experiments on matrix questions
Author Liu, M.
Source Computers in Human Behaviour, 67, pp. 61-72
Year 2017
Database Web of Science
Access date 30.03.2017
Abstract
Matrix or grid questions are a very common question type in web surveys although previous studies have demonstrated several measurement errors associated with this type of question. This study reports findings from four web survey experiments on testing a new matrix, called a menu matrix. A menu matrix groups several matrix questions into one large question and presents the response options using dropdown menus. The four experiments collectively show that the item nonresponse rate for the menu matrix is higher than for the regular matrix and multiple-choice questions. Also, respondents found the menu matrix to be more difficult than the regular matrix and multiple-choice questions. The time to complete is similar across the three question types. Also, the regular matrix and multiple-choice showed very similar missing data rates. The evidence speaks against the use of complex survey questions, such as the menu matrix, since they reduce data quality and the respondents' survey taking experience.
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2017
Bibliographic typeJournal article
Web survey bibliography - Liu, M. (13)
- Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys; 2017; Liu, M.; Wronski, L.
- Data collection mode differences between national face-to-face and web surveys on gender inequality...; 2017; Liu, M.
- Improving survey response rates: The effect of embedded questions in web survey email Invitations; 2017; Liu, M.; Inchausti, N.
- Comparing acquiescent and extreme response styles in face-to-face and web surveys; 2017; Liu, M.; Conrad, F. G.; Lee, S.
- Web survey experiments on matrix questions; 2017; Liu, M.
- Comparison of Face-to-Face and Web Surveys on the Topic of Homosexual Rights; 2016; Liu, M.; Wang, Yic.
- Comparing data quality between online panel and intercept samples; 2016; Liu, M.
- Mode Effect on Racial Sensitive Questions between W eb and Computer-assisted Self-interview ; 2016; Liu, M.; Wang, Y.; Lepkowski, J. M.
- The Impact of Scale Direction, Alignment and Length on Responses to Rating Scale Questions in a Web...; 2016; Keusch, F.; Liu, M.; Yan, T.
- An experiment testing six formats of 101-point rating scales; 2015; Liu, M.; Conrad, F. G.
- Data collection mode effect on feeling thermometer questions: A comparison of face-to-face and Web surveys...; 2015; Liu, M., Wang, Yi.
- Predictors of Completion Rates in Online Surveys; 2015; Cho, S.; Cohen, Jo.; Kuriakose, N.; Liu, M.
- Data Collection Mode Effects On Political Knowledge; 2014; Liu, M., Wang, Y.