online survey methodologies
Possibly this is of interest for PhD students in e-government, e-participation and related e-disciplines. That is, the ins and outs of doing online surveys. Oh, joy, if you ask me. But they are v. useful. read the bibliography, at the back, if you cannot attend.
-------------------
Contemporary Research Methods: Online Survey Methodologies
Ph.D. course at the Copenhagen Business School, November-December 2006
*-->> digital or physical attendance...
More information about the course here or from andersen_at_cbs.dk
*Aim of the course*
This Ph.D.-course enables the participants to understand and apply the
integrated processes of designing and conducting online survey research
projects. The course offers participants experience of dealing with
problems in the design of an online survey, the targeting of samples,
the construction of data collection instruments and the management of
online survey projects. The course also raises participants’ awareness
of main sources of error in the survey process as well as methods of
detecting, controlling and minimizing potential errors.
*Course content*
The course offers participants practical experience on application of a
research project in a multidisciplinary context. Participants are
expected to either take part in an online research project or designing
their own online survey.
The course will help facilitate the conduct of the survey by focusing on
key challenges on target population and /or banner, pop-up for
advertising the survey, as well as incentives for participation.
Students are expected to master basic descriptive statistics before
enrollment and have been introduced to research methods.
We will use the free of charge software Surveymonkey as an online survey
design tool. The software is accessible at http://www.surveymonkey.com
Completing the course, the participants will earn 2½ ECTS points.
*Lecture plan*
The course will run November November 13 from 1 PM to 3 PM, November 14
from 10 AM to 3 PM, November 20 from 1 PM to 3 PM, November 21 from 10
AM to 3 PM, December 4 from 1 PM to 3 PM, and December 5 from 10 AM to 3
PM.
Time/period
13.11.2006 - 1PM to 3PM
14.11.2006 - 10 AM to 3PM
20.11.2006 - 1PM to 3 PM
04.12.2006 - 1PM to 3PM
05.12.2006 - 10AM to 3PM
*Prerequisite/progression of the course*
The course will run November November 13 from 1 PM to 3 PM, November 14
from 10 AM to 3 PM, November 20 from 1 PM to 3 PM, November 21 from 10
AM to 3 PM, December 4 from 1 PM to 3 PM, and December 5 from 10 AM to 3
PM.
Completing the course, the participants will earn 2½ ECTS points.
*Suggested readings*
*Preliminary*:
Best, S. J. and Krueger, B. S. (2004) Internet data collection. Sage
University Paper 141. London. Sage.
Birnholtz, J. P., Horn, D. B., Finholt, T. A. and Bae, S. J. (2004) The
effects of cash, electronic, and paper gift certificates as respondent
incentives for a web-based survey of technologically sophisticated
respondents, Social Science Computer Review, 22, 3, 355-362.
Bosnjak, M. and Tuten, T. L. (2001) Classifying response behaviors in
web-based surveys, Journal of Computer Mediated Communication, 6, 3.
Bosnjak, M., Tuten T. L. and Bandilla, W. (1991) Participation in web
surveys: A typology, ZUMA Nachrichten, 48, 7-17.
Carini, R.M. et al (2003) College students responses to web and paper
based surveys: Does mode matter? Research in Higher Education, 44, 1, 1-19.
Coomber, R. (1997) Using the Internet for survey research, Sociological
Research Online, 2, 2.
Crawford, S. D ., Couper, M. P. and Lamias, M. J. (2001) Web-surveys:
Perceptions of burdens, Social Science Computer Review, 19, 2, 146-162.
Denscombe, M. (2003) The good research guide for small scale research
projects. Maidenhead. Open University Press.
Dillman, D. A. (2000) Mail and internet surveys - the tailored design
method. New York. Wiley.
Frick, A., Bachtiger, M. T. and Reips, U. D. (2001) Financial
incentives, personal information and drop-out rate in online studies, in
Reaps, U. D. and Bosnjak, M. (Eds.) Dimensions of internet science.
Lengerich. Pabst Science Publishers. pp. 209-220.
Hewson, C., Yule, P., Laurent, D. and Vogel, C. (2003) Internet Research
Methods. London. Sage.
McDonald, H. and Adam, S. (2003) A comparison of online and postal data
collection methods in marketing research, Marketing Intelligence and
Planning, 21, 2, 85-95.
Miller, T. W. and Panjikaran, K. J. (2001) Studies in Comparability: The
Propensity Scoring Approach. University of Wisconsin, Madison.
O'Connor, H. and Madge, C. (2004) My mum's thirty years out of date: The
role of the Internet in the transition to motherhood, Community, Work
and Family. 7, 3, 351-369.
O'Lear, R. M. (1996) Using electronic mail (e-mail) surveys for
geographic research: Lessons from a survey of Russian environmentalists,
Professional Geographer, 48, 209-217.
Pinsonneault, A., & Kraemer, K. L. 1993 Survey Research Methodology in
Management Information Systems: An Assessment. Journal of Management
Information Systems, 10(2), 75-105.
Porter, S. R. and Whitcomb, M. E. (2003a) The impact of lottery
incentives on survey response rates in Research in Higher Education, 44,
4, 389-407.
Porter, S. R. and Whitcomb, M. E. (2003b) The impact of contact type on
web-survey response rates. In Public Opinion Quarterly, 67, 4, 579-589.
Riva, G., Teruzzi, T. and Anolli, L. (2003) The use of the Internet in
psychological research: Comparison of online and offline questionnaires,
CyberPsychology and Behavior, 6, 1, 73-80.
Roberts, L. D. and Parks, M. R. (2001) The social geography of gender
switching in virtual environments on the Internet, in Green, E. and
Adam, A. (Eds.) Virtual Gender: Technology, Consumption and Gender.
London. Routledge. pp. 265-285.
Sax, L. J., Gilmartin S. K. and Bryant A. N. (2003) Assessing response
rates and non response bias in web and paper surveys, Research in Higher
Education, 44, 4, 409-431.
Umbach, P. D. (2004) Web surveys: Best practices, New Directions in
Institutional Research, 121, 23-38.
Zhang, Y. 2000 Using the Internet for Survey Research: A Case Study.
American Society for Information Science, 51(1), 57-68.
-------------------
Contemporary Research Methods: Online Survey Methodologies
Ph.D. course at the Copenhagen Business School, November-December 2006
*-->> digital or physical attendance...
More information about the course here or from andersen_at_cbs.dk
*Aim of the course*
This Ph.D.-course enables the participants to understand and apply the
integrated processes of designing and conducting online survey research
projects. The course offers participants experience of dealing with
problems in the design of an online survey, the targeting of samples,
the construction of data collection instruments and the management of
online survey projects. The course also raises participants’ awareness
of main sources of error in the survey process as well as methods of
detecting, controlling and minimizing potential errors.
*Course content*
The course offers participants practical experience on application of a
research project in a multidisciplinary context. Participants are
expected to either take part in an online research project or designing
their own online survey.
The course will help facilitate the conduct of the survey by focusing on
key challenges on target population and /or banner, pop-up for
advertising the survey, as well as incentives for participation.
Students are expected to master basic descriptive statistics before
enrollment and have been introduced to research methods.
We will use the free of charge software Surveymonkey as an online survey
design tool. The software is accessible at http://www.surveymonkey.com
Completing the course, the participants will earn 2½ ECTS points.
*Lecture plan*
The course will run November November 13 from 1 PM to 3 PM, November 14
from 10 AM to 3 PM, November 20 from 1 PM to 3 PM, November 21 from 10
AM to 3 PM, December 4 from 1 PM to 3 PM, and December 5 from 10 AM to 3
PM.
Time/period
13.11.2006 - 1PM to 3PM
14.11.2006 - 10 AM to 3PM
20.11.2006 - 1PM to 3 PM
04.12.2006 - 1PM to 3PM
05.12.2006 - 10AM to 3PM
*Prerequisite/progression of the course*
The course will run November November 13 from 1 PM to 3 PM, November 14
from 10 AM to 3 PM, November 20 from 1 PM to 3 PM, November 21 from 10
AM to 3 PM, December 4 from 1 PM to 3 PM, and December 5 from 10 AM to 3
PM.
Completing the course, the participants will earn 2½ ECTS points.
*Suggested readings*
*Preliminary*:
Best, S. J. and Krueger, B. S. (2004) Internet data collection. Sage
University Paper 141. London. Sage.
Birnholtz, J. P., Horn, D. B., Finholt, T. A. and Bae, S. J. (2004) The
effects of cash, electronic, and paper gift certificates as respondent
incentives for a web-based survey of technologically sophisticated
respondents, Social Science Computer Review, 22, 3, 355-362.
Bosnjak, M. and Tuten, T. L. (2001) Classifying response behaviors in
web-based surveys, Journal of Computer Mediated Communication, 6, 3.
Bosnjak, M., Tuten T. L. and Bandilla, W. (1991) Participation in web
surveys: A typology, ZUMA Nachrichten, 48, 7-17.
Carini, R.M. et al (2003) College students responses to web and paper
based surveys: Does mode matter? Research in Higher Education, 44, 1, 1-19.
Coomber, R. (1997) Using the Internet for survey research, Sociological
Research Online, 2, 2.
Crawford, S. D ., Couper, M. P. and Lamias, M. J. (2001) Web-surveys:
Perceptions of burdens, Social Science Computer Review, 19, 2, 146-162.
Denscombe, M. (2003) The good research guide for small scale research
projects. Maidenhead. Open University Press.
Dillman, D. A. (2000) Mail and internet surveys - the tailored design
method. New York. Wiley.
Frick, A., Bachtiger, M. T. and Reips, U. D. (2001) Financial
incentives, personal information and drop-out rate in online studies, in
Reaps, U. D. and Bosnjak, M. (Eds.) Dimensions of internet science.
Lengerich. Pabst Science Publishers. pp. 209-220.
Hewson, C., Yule, P., Laurent, D. and Vogel, C. (2003) Internet Research
Methods. London. Sage.
McDonald, H. and Adam, S. (2003) A comparison of online and postal data
collection methods in marketing research, Marketing Intelligence and
Planning, 21, 2, 85-95.
Miller, T. W. and Panjikaran, K. J. (2001) Studies in Comparability: The
Propensity Scoring Approach. University of Wisconsin, Madison.
O'Connor, H. and Madge, C. (2004) My mum's thirty years out of date: The
role of the Internet in the transition to motherhood, Community, Work
and Family. 7, 3, 351-369.
O'Lear, R. M. (1996) Using electronic mail (e-mail) surveys for
geographic research: Lessons from a survey of Russian environmentalists,
Professional Geographer, 48, 209-217.
Pinsonneault, A., & Kraemer, K. L. 1993 Survey Research Methodology in
Management Information Systems: An Assessment. Journal of Management
Information Systems, 10(2), 75-105.
Porter, S. R. and Whitcomb, M. E. (2003a) The impact of lottery
incentives on survey response rates in Research in Higher Education, 44,
4, 389-407.
Porter, S. R. and Whitcomb, M. E. (2003b) The impact of contact type on
web-survey response rates. In Public Opinion Quarterly, 67, 4, 579-589.
Riva, G., Teruzzi, T. and Anolli, L. (2003) The use of the Internet in
psychological research: Comparison of online and offline questionnaires,
CyberPsychology and Behavior, 6, 1, 73-80.
Roberts, L. D. and Parks, M. R. (2001) The social geography of gender
switching in virtual environments on the Internet, in Green, E. and
Adam, A. (Eds.) Virtual Gender: Technology, Consumption and Gender.
London. Routledge. pp. 265-285.
Sax, L. J., Gilmartin S. K. and Bryant A. N. (2003) Assessing response
rates and non response bias in web and paper surveys, Research in Higher
Education, 44, 4, 409-431.
Umbach, P. D. (2004) Web surveys: Best practices, New Directions in
Institutional Research, 121, 23-38.
Zhang, Y. 2000 Using the Internet for Survey Research: A Case Study.
American Society for Information Science, 51(1), 57-68.
posted by wainer at 10:55 am
1 Comments:
I always use Survey Prof to conduct surveys. It's free of charge and especially meant for students.
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