An excellent introduction to surveys in social sciences, detailing the different types of answer collection (i.e. likert scales, guttman scales, semantic differentials, ranking and filter/contingency questions) can be found here. Some example questions are provided here. Maybe most useful to serious and academic-level research, are these resources: 1-a journal article detailing the stages of interview construction in a systematic manner, 2-a report for the US-Census Buro (2006) on question types and question styles (e.g. mentions academic research that argues against using "Don't know" answers in interviews, and reasons why that is the case).
Showing posts with label research technique. Show all posts
Showing posts with label research technique. Show all posts
Wednesday, February 2, 2011
Constructing Surveys
Today I was looking at survey construction and survey design, since I have to prepare a survey. I intend to use the results of the survey to support a specific argument in my PhD Thesis. It isn't a large part of my work, and hence I don't want to spend too much time on this, however not surprisingly I found a lot of excellent sources on survey construction (whether offline, online, free form - interview, or closed form, see this link for a wider set of survey definitions).
Monday, January 17, 2011
My New Year's Blog revamp
With the new year I decided to change my blog-up a little bit. Essentially the design template is now different, not so heavy on the eyes I hope. Secondly the direct address changed to http://martinsykora.blogspot.com, alternatively http://www.martinsykora.com is still usable.
On a different note. Each month I receive an email from NBER (The National Bureau of Economic Research) with most recent summary of published/working papers by eminent economic academics. Often I just ignore these emails, this time I saw one article that caught my attention thought and I'd recommend it as a great read to anyone interested into the general research method within science. The paper is entitled "Economics, History and Causation" and the authors suggest that a number of qualitative reserch methods should be more at the centre of an overly statistical approach to economic research (in particular since authors are from that field, however their argument extends equally to the field of, say empirical computer science).
The paper can be downloaded here http://www.nber.org/papers/w16678.pdf
On a different note. Each month I receive an email from NBER (The National Bureau of Economic Research) with most recent summary of published/working papers by eminent economic academics. Often I just ignore these emails, this time I saw one article that caught my attention thought and I'd recommend it as a great read to anyone interested into the general research method within science. The paper is entitled "Economics, History and Causation" and the authors suggest that a number of qualitative reserch methods should be more at the centre of an overly statistical approach to economic research (in particular since authors are from that field, however their argument extends equally to the field of, say empirical computer science).
The paper can be downloaded here http://www.nber.org/papers/w16678.pdf
Subscribe to:
Posts (Atom)