Web Survey Bibliography
Purpose – The purpose of this paper is to explore teachers' behaviours in completing an internet survey using decision trees. Furthermore, to reduce the complexity of the decision trees, a statistical technique was used to decrease the number of input variables in the decision trees.
Design/methodology/approach – A dataset of 47,647 samples was used to build the decision trees. These samples were collected from an internet survey of teachers in Taiwan. The output of the decision trees was the answering time (the time taken to complete the internet questionnaire). Eight variables were selected as the inputs for the decision trees. Two techniques were employed to build the decision trees – the exhaustive chi-squared automatic interaction detector (ECHAID) and classification and regression tree (CRT) analysis. To reduce the complexity of the decision models, factor analysis technique was used to decrease the data dimensions (number of input variables) and to obtain a simplified decision model. One-way ANOVA was used to validate the effects of the dimension reduction.
Findings – From the results of the factor analysis, a simplified decision tree is recommended using four input variables – teaching years, school level, sex and area. The classification accuracy of the simplified model is statistically equivalent to that of the original one, which used eight input variables.
Originality/value – The complexity of decision trees theoretically depends on the number of input variables. This study used a statistical technique to decrease the number of input variables and thereby reduce the complexity of the decision trees. A statistical technique was employed to validate that the classification accuracy is not statistically different between the original decision model and the simplified one. The decision models proposed in this paper can be applied in estimating the answering time for completing a questionnaire during an internet survey.
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Web Survey Bibliography - Other (451)
- Effects of Questionnaire Length on Participation and Indicators of Response Quality in a Web Survey; 2009; Galesic, M., Bosnjak, M.
- The Framing of the Survey Request and Panel Attrition; 2009; Tourangeau, R., Ye, J.
- Taking the Audio Out of Audio-CASI; 2009; Tourangeau, R., Couper, M. P., Marvin, T.
- Questionnaire Survey Nonresponse: A Comparison of Postal Mail and Internet Surveys ; 2009; Hoonakker, P., Carayon, P.
- Open-Ended Questions in Web Surveys: Can Increasing the Size of Answer Boxes and Providing Extra Verbal...; 2009; Smyth, J. D., Dillman, D. A., Christian, L. M., McBride, M.
- Effectiveness of incentives in web surveys within mixed-mode systems: An evaluation of errors & costs...; 2009; Lozar Manfreda, K.
- Representativeness of web surveys to the general public ; 2009; Sonck, N.
- Effects of data collection technique on the quality of data: A MTMM study of CATI, CAPI and Online interviews...; 2009; Scherpenzeel, A.
- The Mobile-only Population in Portugal and Its Impact in a Dual Frame Telephone Survey; 2009; Vicente, P., Reis, E.
- Impact of mixed survey modes on physical activity and fruit/vegetable consumption: A longitudinal study...; 2009; Nigg, C. R., Motl, R. W., Wong, K. T., Yoda L. U., McCurdy, D. K., Paxton, R., Horwath, C. C., Dishman...
- Internet research differs from research on internet users: some methodological insights into online...; 2009; Lohmann, M., Schmucker, D. J.
- Behaviour analysis of internet survey completion using decision trees: An exploratory study; 2009; Lin, C. C., Yang, H. J., Kuo, L. H.
- Find out what your people really think: How to maximize response rates to employee satisfaction surveys...; 2009; Lusty, D.
- Anytime, Anywhere Mobile Interviewing: Comparing Mobile Voice and Web Response Patterns; 2009; Petit, F. C.
- Using mobile phones to measure TV-broadcast quality; 2009; Wieland, J. L., Puggaard, B.
- The representativeness of the LISS panel ; 2009; Knoef, M., de Vos, K.
- Optimum survey methods when interviewing employed women; 2009; Dunning, K., LeMasters, G. K.
- Online Versus Paper: Format Effects in Tourism Surveys; 2009; Dolnicar, S., Laesser, C., Matus, K.
- Towards a flexible online mixed method design with a feedback loop; 2009; Lobe, B., Vehovar, V.
- Providing Real-Time Incentives for Anonymous Web Surveys; 2008; Heinrich, T.
- Blast from the Past: The Challenges of Gaining Cooperation for a Follow-up Survey Several Years Later...; 2008; Costanzo, D., Sipulski, E., Carris, K., O'Connor, K.
- Data Collection on Handheld Computers with Voice Recognition Technology; 2008; Malakhoff, L.
- How To Write Better Survey Questionnaires; 2008; Triplett, T. A.
- Response Effects in Video-enhanced Web Surveys; 2008; Fuchs, M.
- Evaluation of Sample Designs for Telephone Surveys That Include Cell Phones; 2008; Steeh, C. G.
- Costs and Benefits from Conducting a Supplemental Sample of Cell Phone Numbers in National RDD Surveys...; 2008; Kennedy, C.
- Cell Phone Interviewing; 2008; Lee, R. H.
- Swedish National Data Service's Strategy for Sharing and Mediating Data; 2008; Carlhed, C., Alfredsson, I.
- A Web-Based Survey of the Relationship Between Buddhist Religious Practices, Health, and Psychological...; 2008; Wiist, W. H., Sullivan, B. M., Wayment, H. A., Warren, M.
- Social Research Methods; 2008; Bryman, A.
- The Good, the Bad, and the Ugly of Cell Phone Surveying; 2008; Barron, M.
- Experiments Exploring the Relationship (or Lack Thereof) Between Nonresponse Error and Measurement Error...; 2008; Tourangeau, R., Groves, R. M., Presser, S., Toppe, C., Kennedy, K., Yan, T.,
- Respondent Incentives in a Multi-Mode Panel Survey: Cumulative Effects on Non-Response and Bias; 2008; Jäckle, A., Lynn, P.
- Effects of Pre-coding Response Options for Five Point Satisfaction Scale in Web Surveys; 2008; Callegaro, M., Wells, T., Kruse, Y.
- More than the digital divide?: Investigating the differences between Internet and non-Internet users; 2008; Zhang, C., Callegaro, M., Thomas, M.
- Enhancing the Travel Survey Process and Data Using the CATI System ; 2008; Morency, C.
- The Methodological Issues Associated With Internet-Based Research; 2008; Beddows, E.
- The Effectiveness of CATI Method in the Survey “Structure of Agricultural Holdings”; 2008; Jakóbik, K., Ruta, G.
- Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT...; 2008; Coutts, E., Jann, B.
- An evaluation of the weighting procedures for an online access panel survey; 2008; Loosveldt, G., Sonck, N.
- Mobile Research: Five Ways To Collect Data Using Mobile Devices; 2008; Conry, S.
- Fraudsters: Teach Them Well; 2008; Pettit, F. A.
- Transitioning from Self-Reports to Self-Installed Electronic Audience Measurement; 2008; Trussell, N., Vanno, L., Matthess, E., Bailey, J., Link, M. W.
- The Role of New Technology and its’ Effect on Best Practices Methodology; 2008; Kendall, E.
- Representativeness in Online-Surveys Through Stratified Sample; 2008; Blasius, J.
- Comparing the Results of Probability and Non-probability Telephone and Internet Survey Data; 2008; Wang, R., Krosnick, J. A.
- Evaluating the Potential Contributions of a Web-based Convenience Sample to the Accuracy of a Probability...; 2008; Elliott, M. N., Haviland, A.
- Evaluating Efficiency and Effectiveness of Cell Phone Samples; 2008; Sen, S., Zmud, J., Arce, C.
- The MacroPoll Wireless Experience: Development and Lessons Learned.; 2008; Austin, J. D., Zullwack, R., Dyer, A., Dayton, J. J.
- Pilot Development of a Smartphone-Enabled Full-Probability Panel; 2008; Hill, C., Biemer, P. P., Coombs, D., Eyerman, J.