This chapter discusses a methodology that is more or less analogous to linear regression discussed in the previous chapter, Binary Logistic Regression. In a binary logistic regression, a single dependent variable (categorical: two categories) is predicted from one or more independent variables (metric or non-metric). This chapter also explains what the logistic regression model tells us: Interpretation of regression coefficients and odds ratios using IBM SPSS 20.0. The example detailed in this chapter involves one metric- and four non-metric-independent variables.
CITATION STYLE
Sreejesh, S., Mohapatra, S., & Anusree, M. R. (2014). Binary Logistic Regression. In Business Research Methods (pp. 245–258). Springer International Publishing. https://doi.org/10.1007/978-3-319-00539-3_11
Mendeley helps you to discover research relevant for your work.