Web Survey Bibliography
Research in the human and behavioral sciences has long been burdened by a methodological distinction between two categories of research: that which measures and produces facts and that which understands and interprets phenomena. However all interpretation of numbers requires that results be viewed in relative terms and there are no other means for this than comparison. The Z-scoring method, that is to say standardization, in web survey ZEF, emphasizes relative traits of survey answering. Questions in ZEF are illustrated in graphical two-dimensional chart where respondents are able to compare their answers at the moment of answering process. This trait of answering emphasizes the relationship of questions more than an absolute values on the scales of two dimensions. The Z-scoring method that is used in ZEF for handle results is based for same assumption: The respondents are compared questions and are formulated their answers through comparison. The significance of differences between groups cannot be measured directly: in some content areas, even small differences may be important, while in others changes of even several per cent are not significant. Standardization makes visible how different respondents and groups value things, that is, construct an order for them, using the dimensions given.
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Web survey bibliography (20)
- Feasibility of using a multilingual web survey in studying the health of ethnic minority youth.; 2016; Kinnunen, J. M.; Malin, M.; Raisamo, S. U.; Lindfors, P. L.; Pere, L. A.; Rimpelae, A. H.
- Online panels and validity; 2014; Groenlund, K., Strandberg, K.
- Does Gamification Work? - A Literature Review of Empirical Studies on Gamification ; 2014; Hamari, J., Koivisto, J., Sarsa, H.
- Comparison of Three Modes for a Crime Victimization Survey; 2013; Laaksonen, S., Heiskanen, M.
- Bringing usability to pretesting of Business Survey Web Forms in Statistics Finland; 2013; Rouhunkoski, J.
- The effect of language in answering qualitative questions in user experience evaluation web-surveys; 2013; Walsh, T., Nurkka, P., Petrie, H., Olson, J.
- The comparability of Don't Know answers between CATI and CAWI modes; 2013; Pohjanpaa, K., Jarvensivu, M.
- A mixed-mode survey tackling against an increasing rate of nonresponse; 2013; Jokinen, M.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Choosing a Data Collection Approach: Mixed Mode Design Experiences in Statistics Finland; 2012; Taskinen, P., Kiianmaa, N.
- The Usage of a Cloud Service as an Effective Way of Sharing Cognitive and Usability Test Information; 2012; Rouhunkoski, J., Godenhjelm, P.
- Automatic Forwarding on Web Surveys – Some Outlines and Remarks; 2012; Selkaelae, A.
- Open-ended questions in the context of temporary work research; 2011; Siponen, K.
- Testing a single mode vs a mixed mode design; 2011; Laaksonen, S.
- A mixed mode pilot on consumer barometer; 2011; Taskinen, P., Simpanen, M.
- Features of the Z-scoring method in graphical two-dimensional web surveys: the case of ZEF; 2011; Selkaelae, A., Ronkainen, S., Alasaarela, E.
- Methodological and Ethical Dilemmas of Archiving Qualitative Data; 2010; Kuula, A.
- Designing Culturally Neutral Storyboard: A Case Study of Designing an Online Survey with Storyboards; 2010; Koponen, T., Varsaluoma, J., Walsh, T.
- Asking Factual Knowledge Questions: Reliability in Web-Based, Passive Sampling Surveys ; 2009; Elo, K.
- Analyses of Web Survey Data; 2007; Kuusela, V.
- Reducing Nonresponse by SMS Reminders in Mail Surveys; 2007; Virtanen, V., Sirkiä, T., Jokiranta, V. Sirkia, T.