Complicated

Designing

http://www.statpac.com/surveys/index.htm
http://www.relevantinsights.com/tag/survey-design
http://www.qualtrics.com/blog/

Stupid

Alcohol

http://whyaddiction.blogspot.com/

True or False

isma

http://www.isma.org.uk/

Techniques

Sampling techniques: Advantages and disadvantages

Technique	Descriptions	Advantages	Disadvantages
Simple random	Random sample from whole population	Highly representative if all subjects participate; the ideal	Not possible without complete list of population members; potentially uneconomical to achieve; can be disruptive to isolate members from a group; time-scale may be too long, data/sample could change
Stratified random	Random sample from identifiable groups (strata), subgroups, etc.	Can ensure that specific groups are represented, even proportionally, in the sample(s) (e.g., by gender), by selecting individuals from strata list	More complex, requires greater effort than simple random; strata must be carefully defined
Cluster	Random samples of successive clusters of subjects (e.g., by institution) until small groups are chosen as units	Possible to select randomly when no single list of population members exists, but local lists do; data collected on groups may avoid introduction of confounding by isolating members	Clusters in a level must be equivalent and some natural ones are not for essential characteristics (e.g., geographic: numbers equal, but unemployment rates differ)
Stage	Combination of cluster (randomly selecting clusters) and random or stratified random sampling of individuals	Can make up probability sample by random at stages and within groups; possible to select random sample when population lists are very localized	Complex, combines limitations of cluster and stratified random sampling
Purposive	Hand-pick subjects on the basis of specific characteristics	Ensures balance of group sizes when multiple groups are to be selected	Samples are not easily defensible as being representative of populations due to potential subjectivity of researcher
Quota	Select individuals as they come to fill a quota by characteristics proportional to populations	Ensures selection of adequate numbers of subjects with appropriate characteristics	Not possible to prove that the sample is representative of designated population
Snowball	Subjects with desired traits or characteristics give names of further appropriate subjects	Possible to include members of groups where no lists or identifiable clusters even exist (e.g., drug abusers, criminals)	No way of knowing whether the sample is representative of the population
Volunteer, accidental, convenience	Either asking for volunteers, or the consequence of not all those selected finally participating, or a set of subjects who just happen to be available	Inexpensive way of ensuring sufficient numbers of a study	Can be highly unrepresentative

Source: Black, T. R. (1999). Doing quantitative research in the social sciences: An integrated approach to research design, measurement, and statistics. Thousand Oaks, CA: SAGE Publications, Inc. (p. 118)

Sampling / Population / Types / Book

http://en.wikipedia.org/wiki/Sampling_(statistics)
http://www.cliffsnotes.com/study_guide/Populations-Samples-Parameters-and-Statistics.topicArticleId-267532,articleId-267478.html

http://www.uic.edu/classes/socw/socw560/SAMPLING/sld001.htm

http://ruangbacafmipa.staff.ub.ac.id/files/2012/02/William_G._Cochran_Sampling_Techniques_Third_EdBookFi.org_.pdf

Tube / Slides
https://www.youtube.com/results?search_query=Sampling
https://www.slideshare.net/search/slideshow?searchfrom=header&q=Sampling