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
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Peter Martin worked as a professional civil engineer for over 50 years starting in the days when calculations were carried out with the aid of slide rules and 7-figure log tables. During his career he designed and supervised construction of many bridges and harbour works in the UK and throughout the Far East, SE Asia, and Africa, living in the East with his family for 12 years. He has three grown-up sons and six grandchildren and now lives in a village near Glasgow where he attempts to keep the garden in some sort of order.
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.
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Kartoniert / Broschiert. Zustand: New. 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 mo. Artikel-Nr. 301192130
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