A survey can characterize the knowledge, attitudes, and behaviors of a large group of people through the study of a subset of them. However, to protect the validity of conclusions drawn from a survey, certain procedures must be followed throughout the process of designing, developing, and distributing the survey questionnaire.
Surveys are used extensively by software and systems engineering organizations to provide insight into complex issues, assist with problem solving, and support effective decision making.
This document presents a seven-stage, end-to-end process for conducting a survey.
This report is related to the following area(s) of work:
Measurement and AnalysisHandbook
CMU/SEI-2005-HB-004
September 2005
SEI:
Kasunic, Mark; Designing an Effective Survey (CMU/SEI-2005-HB-004). Software Engineering Institute, Carnegie Mellon University, 2005. http://www.sei.cmu.edu/library/abstracts/reports/05hb004.cfm
IEEE:
M. Kasunic, "Designing an Effective Survey," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Handbook CMU/SEI-2005-HB-004, 2005. http://www.sei.cmu.edu/library/abstracts/reports/05hb004.cfm
APA:
Kasunic, M., (2005). Designing an Effective Survey (CMU/SEI-2005-HB-004). Retrieved May 25, 2013, from the Software Engineering Institute, Carnegie Mellon University website: http://www.sei.cmu.edu/library/abstracts/reports/05hb004.cfm
CHI:
Kasunic, Mark, Designing an Effective Survey (CMU/SEI-2005-HB-004). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2005. http://www.sei.cmu.edu/library/abstracts/reports/05hb004.cfm
MLA:
Kasunic, M., 2005. Designing an Effective Survey (Technical Report CMU/SEI-2005-HB-004). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://www.sei.cmu.edu/library/abstracts/reports/05hb004.cfm
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