Web Survey Bibliography
Assessment of cognitive function via the Internet is possible, but technically complex in comparison to self-report questionnaires. Self-report measures of cognitive function also have problems, but are easy to implement online and may give valuable insights, especially into people’s own experiences of everyday cognitive problems. For example, a number of online studies have examined self-reports of memory problems. “Executive function” describes a collection of processes making up the central executive component of the working memory model, including planning, task coordination, impulse control, and attention. Deficits in executive function are of clinical and scientific interest. A number of objective cognitive measures are believed to tap aspects of executive function. In addition, self-report questionnaires measuring executive deficits (e.g. the Dysexecutive Questionnare; DEX) have been developed and appear to have a degree of validity. This project involved creation and validation of a short, public domain self-report measure of executive function suitable for administration via the Internet. We created a 6-item self-report measure addressing different facets of executive function as a short web-based form. This was completed by 78 undergraduate participants (18 men, 60 women), who also completed the self-report DEX and three objective cognitive tasks: reverse digit span, a semantic fluency task, and a semantic fluency task with inhibition. All data were acquired in a laboratory setting. The six items appeared to form a factor-univocal scale with adequate internal consistency (alpha=.785). Scale scores correlated strongly and significantly with the DEX (r=.677) indicating that the two measures have much in common. They correlated negatively with all three objective measures of executive function (r=-.284, r=-.353 and r=-.416 respectively), indicating higher scores are associated with poorer performance. The pattern of associations between the DEX and these three measures is similar, though the correlations for the new scale are stronger. We present the new scale, ‘WebEXEC’, as a quick and reliable online self-report measure of executive function. While further validation work is planned, the evidence so far suggests the measure has a degree of validity and may be suitable for use in Internet-mediated research projects.
Conference homepage (abstract)
Web survey bibliography - Other (439)
- A comparison of surveys using different modes of data collection; 2010; Revilla, M., Saris, W. E.
- Examining the effects of website-induced flow in professional sporting team websites; 2010; O'Cass, A., Carlson, J.
- Research into questionnaire design - A summary of the literature; 2010; Lietz, P.
- College Students' Response Rate to an Incentivized Combination of Postal and Web-Based Health Survey; 2010; Balajti I., Daragó, L., Ádány, R., Kósa, K.
- Improving the response rate and quality in Web-based surveys through the personalization and frequency...; 2010; Muñoz-Leiva, F., Sánchez-Fernández, J., Montoro-Ríos, F. J., Ibáñez-Zapata, J. A.
- What are participants doing while filling in an online questionnaire: A paradata collection tool and...; 2010; Stieger, S., Reips, U.-D.
- ESS Handbook for Quality Reports; 2009
- ESS Standard for Quality Reports; 2009
- MarketTools TrueSample; 2009
- ISO 26362 Access panels in market, opinion, and social research-Vocabulary and service requirements; 2009
- Stochastic properties of the Internet sample; 2009; Getka-Wilczynska, E.
- Web based survey: an emerging tool; 2009; Srivenkataramana, T., Saisree, M.
- The impact of gender in e-mailed survey invitations; 2009; Derham, P.
- The Coverage Bias of Mobile Web Surveys Across European Countries ; 2009; Fuchs, M., Busse, B.
- Interactivity in self-administered surveys. Influence on respondents' experience; 2009; Suarez Vazquez, A., Garcia Rodriguez, N., Alvarez, M. B.
- Metrics for panel contribution: a non probabilistic platform; 2009; Gittelmam, S. H., Trimarchi, E.
- Mode effects in Switzerland: non‐response and measurement error on the European Social Survey; 2009; Roberts, C.
- Reason analysis: an ambitious alternative for mixed‐mode survey design; 2009; Jerabek, H.
- Response rates in multi actor surveys; 2009; Pasteels, I., Ponnet, K., Mortelmans, D.
- Unit non‐response in panel surveys: empirical finding from an experiment; 2009; Haunberger, S.
- Computer-Assisted Audio Recording (CARI): Repurposing a Tool for Evaluating Comparative Instrument Design...; 2009; Edwards, B., Hicks, W., Tourangeau, K., Harris-Kojetin, L., Moss, A.
- Comparison between Liss panel (web) and ESS data (face to face); 2009; Revilla, M., Saris, W. E.
- The influence of the field time on data quality in list-based Web surveys; 2009; Goeritz, A., Stieger, S.
- Why don’t all Businesses report on Web?; 2009; Haraldsen, G.
- Turning Grid Questions into Sequences in Business Web Surveys; 2009; Haraldsen, G., Bergstrøm, Y.
- Visual Design Effects on Respondents’ Behavior in Web-Surveys; 2009; Greinoecker, A.
- Applying theory to structure respondents' stated motivations for participating in web surveys; 2009; Han, V., Albaum, G., Wiley, J. B., Thirkell, P.
- Web-based survey attracted age-biased sample with more severe illness than paper-based survey; 2009; Klovning, A., Sandvik, H., Hunskaar, S.
- Online Election Surveys: Keeping the Voters Honest? ; 2009; Gibson, R., McAllister, I.
- A recipe for effective participation rates for web-based surveys ; 2009; Bennett, L., Nair, C. S.
- Pause Mechanism in Complex Online Surveys; 2009; Milewski, J.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Relevance Of Health-Related Online-Information In Offline- And Online-Samples; 2009; Stetina, B. U., McElheney, J., Lehenbauer, M., Hinterberger, E., Pintzinger, N., Kryspin-Exner, I.
- Three Different Designs of Type Ranking‐Questions; 2009; Sackl, A.
- Gay and Lesbian People: The Use of Online Communication Services; 2009; Lehenbauer, M., Stetina, B. U., Kryspin-Exner, I.
- An Online Study on Coping with Anxiety and Disease-Specific Internet Use in Panic Attack Sufferers; 2009; König, D., Hiebler, C., Kryspin-Exner, I.
- Distortion of demographics through technically induced dropout in restricted online surveys; 2009; Voracek, M., Stieger, S., Goeritz, A.
- An Internet-based Study on Coping with Illness and Attitudes towards Online Health Care in Cancer Patients...; 2009; Setz, J., König, D., Kryspin-Exner, I.
- WebEXEC: A Short Self-Report Measure of Executive Function Suitable for Administration via the Internet...; 2009; Buchanan, T., Heffernan, T. M., Parrott, A. C., Ling, J., Rodgers, J., Scholey, A. B.
- Let's go formative: Continuous student ratings with Web 2.0 application Twitter; 2009; Burger, C., Stieger, S.
- Self-Efficacy Of Online Health Seekers; 2009; Stetina, B. U., Schramel, C., Lehenbauer, M., Schawill, W., Kryspin-Exner, I.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.
- Verbal Vs Visual Response Options: Reconciling Meanings Conveyed by a Computer Aided Visual Rating Scale...; 2009; Garland, P., Cape, P.
- Increasing response rates in list based samples; 2009; Keusch, F., Kurz, H., Penzkofer, P.
- Implementation of a reaction time tool for brand measurement at Swisscom; 2009; Paar, I., Urbahn, J.
- Measuring Network Quality: Strengths and Weaknesses of different Evaluation Methods (SMS, w@p and web...; 2009; Wallisch, A., Schwab, H.
- Large Scale Digital Data Collection in Developing Countries: Is The Time Right? ; 2009; Hattas, M., Cronje, M., Berard, O.
- Implementation of web-based data-collection channel eSTAT for economic entities; 2009; Sillajoe, T.
- Personality on Social Network Sites: An Application of the Five Factor Model; 2009; Wehrli, S.
- Use of Online Interviews in the Underlying Discourse Unveiling Method (UDUM); 2009; Nicolaci-da-Costa, A. M., Romao-Dias, D., Di Luccio, F.