Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and application of statistical models, and illustrates them with illuminating graphs, discussing:· Linear regression, including dummy variablesand predictor transformations for curvilinear relationships· Binary, ordinal and multinomial logistic regression models for categorical data · Models for count data, including Poisson, negative binomial, and zero-inflated regression· Checking model assumptions and the dangers of overfitting
In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. The author covers both the theory and application of statistical models, with the help of illuminating graphs.