Web Survey Bibliography
Most organizational research employs either quantitative or qualitative methods. Furthermore, users of one methodology often dismiss those who use another. The purpose of this report was to describe how researchers could use mixed methods, especially online. Researchers often begin investigations with paradigmatic assumptions or multiple constructs that should lead to mixed methods. However, quantitative methodological assumptions may seem to contradict qualitative methodological assumptions, and scholars have found it easier and quicker to deliver results adopting only one methodology. Additionally, researchers may be resistant because making high quality inferences from mixed methods might seem too demanding. This chapter describes how one researcher grappled with these challenges when using mixed methods off-line. Online technologies contribute to resolving some difficulties more easily.
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Web survey bibliography - 2013 (465)
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- The Use of Mixed Methods in Organizational Communication Research; 2013; Salem, P. J.
- The Use of E-Questionnaires in Organizational Surveys; 2013; Brender-Ilan, Y., Vinitzky, G.
- Online Instruments, Data Collection, and Electronic Measurements: Organizational Advancements; 2013; Bocarnea, M. C., Reynolds, R. A., Baker, J. D.
- The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic...; 2013; Fang, J., Wen, C., Prybutok, V.
- How Do Lotteries and Study Results Influence Response Behavior in Online Panels?; 2013; Goeritz, A., Luthe, S. C.
- Mode Effects in Free-list Elicitation: Comparing Oral, Written, and Web-based Data Collection; 2013; Gravlee, C. C., Bernard, H. R., R., Jacobsohn, A.Maxwell, C. R.
- Incentives for college student participation in web-based substance use surveys; 2013; Patrick, M. E., Singer, E., Boyd, C. J., Cranford, J. A., McCabe, S. E.
- The effect of short formative diagnostic web quizzes with minimal feedback; 2013; Baelter, O., Enstroem, E., Klingenberg, B.
- A Comparison of the Quality of Questions in a Face-to-face and a Web Survey; 2013; Revilla, M., Saris, W. E.
- Sample composition discrepancies in different stages of a probability-based online panel; 2013; Bosnjak, M., Haas, I., Galesic, M., Kaczmirek, L., Bandilla, W., Couper, M. P.
- A comparison of data quality and practicality of online versus postal questionnaires in a sample of...; 2013; King, M. T., Butow, P., Olver, I., Smith, A. B.
- Testing the Validity of Gender Ideology Items by Implementing Probing Questions ; 2013; Behr, D., Braun, M., Kaczmirek, L., Bandilla, W.
- Questionnaire Design: How to Plan, Structure and Write Survey Material for Effective Market Research...; 2013; Brace, I.
- A Machine Learning Based Topic Exploration and Categorization on Surveys; 2012