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Principles of survey research part 6: data analysis

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

Shari Lawrence Pfleeger | Barbara A. Kitchenham | S. Pfleeger | B. Kitchenham

[1] Timothy Lethbridge,et al. A survey of the relevance of computer science and software engineering education , 1998, Proceedings 11th Conference on Software Engineering Education.

[2] L. Cronbach. Coefficient alpha and the internal structure of tests , 1951 .

[3] J. Moses,et al. Bayesian probability distributions for assessing measurement of subjective software attributes , 2000, Inf. Softw. Technol..

[4] W. Rosenberger. Dealing with multiplicities in pharmacoepidemiologic studies , 1996, Pharmacoepidemiology and drug safety.

[5] Kalle Lyytinen,et al. Components of Software Development Risk: How to Address Them? A Project Manager Survey , 2000, IEEE Trans. Software Eng..

[6] Shari Lawrence Pfleeger,et al. Preliminary Guidelines for Empirical Research in Software Engineering , 2002, IEEE Trans. Software Eng..

[7] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.

[8] G. Keppel,et al. Design and Analysis: A Researcher's Handbook , 1976 .

[9] Timothy Lethbridge,et al. What knowledge is important to a software professional? , 2000, Computer.

[10] S. Siegel,et al. Nonparametric Statistics for the Behavioral Sciences. , 1957 .