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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