Web Survey Bibliography
The purpose of the study was to investigate the effects of survey mode, gender, and perceived sensitivity on the quality of data gathered on sensitive health behaviors. The study adopted a stratified random sampling method in order to select 600 males and 600 females from all undergraduate students who were enrolled in a large Mid-western university. Both male and female students were randomly assigned either to the paper-and-pencil mail survey or to the web survey. The participants were classified as the sensitive group or the not-sensitive group according to their responses on perceived sensitivity of questions about substance use, body weight, and sexual behavior. The quality of data was measured on response rates, number of unanswered items, and mean score differences on reporting of various health behaviors.
Response rates between the mail survey (38.3%) and the web survey (35.2%) were not significantly different. However, the web survey had more unanswered items than the mail survey (p < .001). Regardless of survey mode, there were more female participants (45.1%) than male participants (28.2%) and there was no significant difference on number of unanswered items between males and females. Also, there were no significant differences on number of unanswered items between the sensitive group and the not-sensitive group. However, when the numbers were broken down by survey mode and gender, there were somewhat significant differences. Results from 2 x 2 x 2 analysis of variance revealed that there were no interaction effects between the survey mode, gender, and the perceived sensitivity except on body weight and number of sexual partners. Also, no main effect of the survey mode was found concerning various health behaviors. However, main effects of gender and the perceived sensitivity revealed that male students and those who perceived the questions to be sensitive were more likely to report engagement in sensitive health behaviors. These findings support the notion that the survey mode, gender, and the perceived sensitivity play significant roles in the quality of data pertaining to sensitive health information. Researchers should consider potential effects of these factors when collecting information on sensitive health behaviors in order to improve the quality of data.
Web Survey Bibliography - Thesis, diplomas (36)
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- Classifying Mouse Movements and Providing Help in Web Surveys; 2013; Horwitz, R.
- Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction; 2013; Zhang, C.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- Online Questionnaire Data Analysis System (OQDAS); 2012; Ali, A. Q.
- Analyzing Functionalities for Online Questionnaire System (OQS); 2012; Atown, H. Y.
- Clarifying Survey Questions; 2011; Redline, C. D.
- Estudo de usabilidade para PDAs utilizados em coleta de dados nas entrevistas pessoais para pesquisas...; 2011; Patricia Zamprogno Tavares
- A Psycholinguistic Look at Survey Question Design and Response Quality; 2011; Lenzner, T.
- Statistical methods for reducing bias in web surveys; 2011; Lee, M. H.
- Nonresponse and Measurement Error in Mobile Phone Surveys ; 2010; Kennedy, C.
- Internet-Based Measurement With Visual Analogue Scales: An Experimental Investigation; 2010; Funke, F.
- Social Networking Sites: Evaluating and Investigating their use in Academic Research; 2010; Redmond, F.
- E-epidemiology : Adapting epidemiological methods for the 21st century; 2009; Bexelius, C.
- Collecting Customer Satisfaction Data With Web Surveys; 2009; Vuorensola, L.
- Visual Design Effects on Respondents’ Behavior in Web-Surveys; 2009; Greinöcker, A.
- Improving survey response in mail and internet general public surveys using address-based sampling and...; 2009; Messer, B. L.
- Design Variations in Adaptive Web Sampling; 2008; Vincent, K. S.
- Human-Survey Interaction: Usability and Nonresponse in Online Surveys; 2008; Kaczmirek, L.
- Internet-based survey design for university web sites : a case study of a Thai university ; 2007; Vate-U-Lan, P.
- Multidimensionale Skalierung in der Marktforschung: Möglichkeiten und Grenzen; 2007; Ryf, S.
- How mixed-mode surveys are transforming social research: The influence of survey mode on measurement...; 2007; Christian, L. M.
- Online versus in-class faculty evaluation: Does mode really matter?; 2006; Robertson, P.
- On the cost-efficiency of probability sampling based mail surveys with a Web response option; 2005; Werner, P.
- Effects of survey mode, gender, and perceived sensitivity on the quality of data regarding sensitive...; 2005; Mi Kyung, J.
- Heterosexism in high school among lesbian, gay, bisexual, and questioning students; 2005; Noah, C.-T. D.
- The Contribution Of Respondent Computer Experience On Primacy Effect And Satisficing in Internet Surveys...; 2005; Cross, F.
- Web surveys : Explaining and Reducing Unit Nonresponse, Item Nonresponse and Partial Nonresponse; 2005; Heerwegh, D.
- Respondent Differences between Web-based Surveys and Paper/Pencil Surveys: A comparison of response...; 2004; Velez, P., Buletti, J. D., Volz, S.
- The Influence of Visual Layout on Scalar Questions in Web Surveys; 2003; Christian, L. M.
- (Non)Response bei Web-Befragungen; 2002; Bosnjak, M.
- Estimating reliability and validity of measuring egocentric social networks; 2001; Kogovsek, T.
- Web survey errors; 2001; Lozar Manfreda, K.
- Administration of web versus paper surveys: Mode effects and response rates; 1999; Matz, C. M.
- The use of computer technology by academics to communicate internationally: Computer mediated communication...; 1998; Anderson, C. M.
- A study of factors affecting responses in electronic mail surveys; 1997; Good, K.P.