Web Survey Bibliography
Background: Self-report measures can guide clinical decisions and are useful when evaluating treatment outcomes. However, many clinicians do not use self-report measures systematically in their clinical practice. Internet-based questionnaires could facilitate administration, but the psychometric properties of the online version of an instrument should be explored before implementation. The recommendation from the International Test Commission is to test the psychometric properties of each questionnaire separately.
Objective: Our objective was to compare the psychometric properties of paper-and-pencil versions and Internet versions of two questionnaires measuring depressive symptoms.
Methods: The 87 participating patients were recruited from primary care and psychiatric care within the public health care system in Sweden. Participants completed the Beck Depression Inventory (BDI-II) and the Montgomery-Åsberg Depression Rating Scale—Self-rated (MADRS-S), both on paper and on the Internet. The order was randomized to control for order effects. Symptom severity in the sample ranged from mild to severe depressive symptoms.
Results: Psychometric properties of the two administration formats were mostly equivalent. The internal consistency was similar for the Internet and paper versions, and significant correlations were found between the formats for both MADRS-S (r = .84) and the BDI-II (r = .89). Differences between paper and Internet total scores were not statistically significant for either questionnaire nor for the MADRS-S question dealing with suicidality (item 9) when analyzed separately. The score on the BDI-II question about suicidality (item 9) was significantly lower when administered via the Internet compared with the paper score, but the difference was small (effect size, Cohen’s [d] = 0.14). There were significant main effects for order of administration on both questionnaires and significant interaction effects between format and order. This should not, however, pose a problem in clinical use as long as the administration format is not changed when repeated measurements are made.
Conclusions: The MADRS-S can be transferred to online use without affecting the psychometric properties in a clinically meaningful way. The full BDI-II also seems to retain its properties when transferred; however, the item measuring suicidality in the Internet version needs further investigation since it was associated with a lower score in this study. The use of online questionnaires offers clinicians a more practical way of measuring depressive symptoms and has the potential to save resources.
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Web Survey Bibliography - Research on Internet (644)
- Online Fundraising Essentials, Second Edition; 2013; Stevenson, S. C.
- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- Worldwide online research spending; 2012
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S. et al.
- Research company spotlight - Mobile surveys; 2012
- Redeveloping the research section of Meningitis UK's website — A case study report; 2012; Witt, J. et al.
- Guide to social science data preparation. Best practice throughout the data life cycle; 2012
- Google et Médiamétrie créent une audience bimédia; 2012; Gonzales, P.
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Better customer in sight in real time; 2012; Macdonald, E., Wilson, H. N., Konus, H.
- Better Answers to Basic Questions: Enhancing the accuracy of online reach and audience metrics; 2012; van Dam, P. H., van Ossenbruggen, R., Voorend, R.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- Web Panels; 2012; Bethlehem, J., Biffignandi, S.
- Challenges of assessing the quality of a prerecruited probability-based panel of internet users in...; 2012; Struminskaya, B., Kaczmirek, L.
- Deep Data: Qualitative Approaches to E-Research in the Digital Age; 2012; Salmons, J.
- The use of new technologies on the British Birth Cohort Studies; 2012; Calderwood, L.
- Opportunities and Challenges for the Digital Researcher; 2012; Blank, G., Morey, Y.
- Reliable Online Social Network Data Collection; 2012; Abdesslem, F. B., Parris, I., Henderson, T.
- Little experience with technology as a cause of nonresponse in online surveys; 2012; Struminskaya, B., Schaurer, I., Kaczmirek, L., Bandilla, W.
- The Impact of Mobilization Media on Off-Line and Online Participation: Are Mobilization Effects Medium...; 2012; Vissers, S., Hooghe, M., Stolle, D., Maheo, V.-A.
- Succinct Survey Measures of Web-Use Skills; 2012; Hargittai, E., Hsieh, Y. P.
- Where gamification came from and why it could be here to stay; 2012; Ewing, T.
- Gamification 101 - from theory to practice - part II ; 2012; Puleston, J.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; M, Hansen, J. M; Smith, S. M.
- User models as revealed in web-based research services; 2012; Bodoff, D., Raban, D.
- User agent; 2011
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The GfK NOP Media Efficiency Panel; 2011; Moy, C. et al.
- Online survey research: Findings, Best practices, and future research; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Google and Kantar develop measurement panel; 2011
- Going online with assessment; 2011; Burke, E. et al.
- Exploring the digital nation. Computer and Internet use at home; 2011
- Ethical issues in Internet research; 2011; Hoerger, M., Currell, C.
- ESOMAR AND CASRO submission to the W3C tracking protection working group - Market research techniques...; 2011
- A Methodological Inference towards the Quantification of Technological Frames ; 2011; Cachia, E., Camilleri, P.
- The Battle For Business Data: New Technologies Critical To Researchers' Arsenal; 2011; Anderson, J.
- A Comparison of Internet-Based Participant Recruitment Methods: Engaging the Hidden Population of Cannabis...; 2011; Temple, E. C., Brown, R. F.
- The Perils of Online Surveys; 2011; McCullough, P. R.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Development and Validation of a Web-Based Questionnaire for Surveying Skydivers; 2011; Nilsson, J.; Friden, C.; Buren, V.; Ang, B.
- Facebook sampling methods: some methodological proposals; 2011; Macrì, E., Tessitore, C.
- Survey Says? A Primer on Web-Based Survey Design and Distribution; 2011; Oppenheimer, A. J., Pannucci, C. J., Kasten, S. J., Haase, S. C.
- Improving online surveys; 2011; Puleston, J.
- Visiting item non-responses in internet survey data collection; 2011; Albaum, G., Roster, C. A., Smith, S. M., Wiley, J. B.
- Estimating nonresponse bias and mode effects in a mixed-mode survey; 2011; Lugtig, P. J., Lensvelt-Mulders, G. J., Frerichs, R., Greven, A.
- Conceptualizing Trust in Digital Environments: Health-e Skepticism: Trust in the Age of the Internet; 2011; Harris, A., Wyatt, S., Kelly, S.
- The Changing Face of Trust in Health Websites; 2011; Sillence, L., Mo, P., Briggs, P., Harris, P. R.