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Data and Methodology

  • D. Nicole Farris
Chapter
Part of the SpringerBriefs in Population Studies book series (BRIEFSPOPULAT)

Abstract

This chapter describes the data and methodology used in this analysis. Data were gathered from the American Community Survey and the National Survey of Families and Households for the quantitative part of this study. Time is spent discussing the operationalization of the dependent variable and the rationale for utilizing multinomial logistic regression for this analysis. It describes the independent variables and the sample characteristics.

Keywords

Statistics Variable Sample ACS NSFH Data Methodology 

References

  1. Hamilton, L. C. (1992). Regression with graphics: A second course in applied statistics. Belmont: Duxbury Press.Google Scholar
  2. Long, S. J., & Freese, J. (2003). Regression models for categorical dependent variables using Stata. College Station: Stata Press.Google Scholar
  3. Menard, S. (2002). Applied logistic regression analysis. Thousand Oaks: Sage.Google Scholar
  4. Mitchell, B. (1998). Too close for comfort? Parental assessments of ‘Boomerang Kid’ living arrangements. Canadian Journal of Sociology, 23, 21–47.CrossRefGoogle Scholar
  5. Sweet, J., & Bumpass, L. (1995). Cohabitation, marriage and union stability: Preliminary findings from NSFH2 (NSFH Working Paper No. 65). Madison: University of Wisconsin-Madison.Google Scholar
  6. Sweet, J., Bumpass, L., & Call, V. (1988). The design and content of the National Survey of Families and Households (NSFH working paper No. 1). Madison: University of Wisconsin-Madison.Google Scholar
  7. Treiman, D. J. (2009). Quantitative data analysis: Doing social research to test ideas. San Francisco: Jossey-Bass.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • D. Nicole Farris
    • 1
  1. 1.University of West AlabamaLivingstonUSA

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