Principles of survey research part 6: data analysis

作者: Barbara Kitchenham , Shari Lawrence Pfleeger , None

DOI: 10.1145/638750.638758

关键词:

摘要: This article is the last of our series articles on survey research. In it, we discuss how to analyze data. We provide examples correct and incorrect analysis techniques used in software engineering surveys.

参考文章(10)
William F. Rosenberger, Dealing with multiplicities in pharmacoepidemiologic studies. Pharmacoepidemiology and Drug Safety. ,vol. 5, pp. 95- 100 ,(1996) , 10.1002/(SICI)1099-1557(199603)5:2<95::AID-PDS228>3.0.CO;2-4
Roderick JA Little, Donald B Rubin, None, Statistical Analysis with Missing Data ,(1987)
Lee J. Cronbach, Coefficient alpha and the internal structure of tests. Psychometrika. ,vol. 16, pp. 297- 334 ,(1951) , 10.1007/BF02310555
J. Ropponen, K. Lyytinen, Components of software development risk: how to address them? A project manager survey IEEE Transactions on Software Engineering. ,vol. 26, pp. 98- 112 ,(2000) , 10.1109/32.841112
T.C. Lethbridge, A survey of the relevance of computer science and software engineering education conference on software engineering education and training. pp. 0056- ,(1998) , 10.1109/CSEE.1998.658300
T.C. Lethbridge, What knowledge is important to a software professional? Computer. ,vol. 33, pp. 44- 50 ,(2000) , 10.1109/2.841783
Barbara A Kitchenham, Shari Lawrence Pfleeger, Lesley M Pickard, Peter W Jones, David C. Hoaglin, Khaled El Emam, Jarrett Rosenberg, None, Preliminary guidelines for empirical research in software engineering IEEE Transactions on Software Engineering. ,vol. 28, pp. 721- 734 ,(2002) , 10.1109/TSE.2002.1027796