Types of Survey Design

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Types of Survey Design

The cross-sectional design is the most commonly used form of survey design. These surveys ask a group of respondents a set of questions at one point in time.[1] As the name suggests, cross-sectional surveys cross-analyze factors within the data. Popular examples include comparing results among those of different ages, gender, or ethnicity.[2]

It is important to administer cross-sectional surveys for a limited amount of time, as external changes (social, political, cultural) may affect the attitudes of respondents as time progresses. Since, these surveys attempt to capture the attitudes of a sample in a specific timeframe, this shorter timeline is vital in gleaning relevant results.[3]

For example, it would not be advisable for a college or university to administer a survey assessing its campus climate for longer than a few weeks. If a major campus event or social shift were to occur, the respondents who had taken the survey after the event may have a shift in opinion. Then, the data collected before the event will no longer be temporally relevant. It is prudent to think of cross-sectional surveys as snap-shots at a particular point in time. While cross-sectional designed surveys are perhaps the most popularly used, some argue that longitudinal surveys are less fallible and more suitable for measuring possible correlations within data. Longitudinal surveys are administered at least two times, and these studies either track change within a sample or strengthen the reliability of the results within multiple samples.

There are three types of longitudinal studies:


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Universal Survey Weaknesses

Surveys are undoubtedly a useful assessment tool, especially when carefully designed. And yet, even with a large sample size and carefully designed questions, surveys remain invariably less scientific than other more experimental research. Some of the undisputed survey design and implementation weaknesses include:




Besides the more universal survey weaknesses, smaller mistakes in survey design can also be detrimental to the logic or strength of the survey. Some design issues include:


References
  1. http://www.apsu.edu/oconnort/3760/3760lect04.htm
  2. http://medical-dictionary.thefreedictionary.com/Cross-sectional+survey
  3. http://www.socialresearchmethods.net/kb/timedim.php
  4. http://www.apsu.edu/oconnort/3760/3760lect04.htm
  5. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=128954#id326838
  6. http://www.apsu.edu/oconnort/3760/3760lect04.htm
  7. http://www.psyko.helsinki.fi/PSYKO/Opetus/a_Tilast.nsf/bbe63ef0c8b2655ec2256c3a001fc553/36b68787e1897e82c2256c8e0048df03?OpenDocument
  8. http://knowledge-base.supersurvey.com/glossary.htm