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Introduction

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Abstract

This textbook is on quantitative survey methodology, and it is written in such a way that survey beginners will be able to follow most of it. Nevertheless, they are expected to have some background knowledge about statistics and related issues, and to be interested in learning more about survey methods and practices. What is covered in this book is extensive. It includes fields such as advanced weighting, editing, and imputation, that are not covered well in corresponding survey books (cf. Bethlehem, 2009; Biemer & Lyberg, 2003; De Leeuw, Hox, & Dillman, 2008; Gideon, 2012; Groves et al., 2009; Valliant, Dever, & Kreuter, 2013; Wolf, Joye, Smith, & Fu, 2016). These subjects, naturally, are covered in specialized books and articles—see Chaps. 8, 11, and 12. On the other hand, we do not give much consideration here to statistical tools and methods relating to limitations caused by confidentiality, which are important in practice. Comment: is it the purpose to write the same things two times as here? It is not necessary in my opinion.

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References

  • Bethlehem, J. (2009). Applied survey methods: A statistical perspective (p. 392). Hoboken: Wiley Survey Research Methods & Sampling.

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  • Biemer, P. P., & Lyberg, L. E. (2003). Introduction to survey quality. Hoboken: Wiley.

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  • De Leeuw, E., Hox, J., & Dillman, D. (2008). International handbook of survey methodology. Accessed October 2016, from http://joophox.net/papers/SurveyHandbookCRC.pdf

  • Gideon, L. (2012). Handbook of survey methodology for the social sciences. New York: Springer.

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  • Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2009). Survey methodology (2nd ed.). Hoboken: Wiley.

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  • Valliant, R., Dever, J. A., & Kreuter, F. (2013). Practical tools for designing and weighting survey samples. New York: Springer.

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  • Wolf, C., Joye, D., Smith, T. W., & Fu, Y.-C. (2016). The SAGE handbook of survey methodology. Los Angeles: Sage.

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Laaksonen, S. (2018). Introduction. In: Survey Methodology and Missing Data. Springer, Cham. https://doi.org/10.1007/978-3-319-79011-4_1

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