Abstract
This book introduces social researchers to all aspects of statistical modelling in an easily accessible but informative way. It describes in words rather than mathematical notation the aims and principles of statistical modelling but helpfully remains fully comprehensive. 1. Statistical modelling : an overview -- 2. Research designs and data -- 3. Statistical preliminaries -- 4. Multiple regression for continuous response variables -- 5. Logistic regression for binary response variables -- 6. Multinomial logistic regression for multinomial response variables -- 7. Loglinear models -- 8. Ordinal logistic regression for ordered categorical response variables -- 9. Multilevel modelling -- 10. Latent variables and factor analysis -- 11. Causal modelling : simultaneous equation models -- 12. Longitudinal data analysis -- 13. Event history models -- Appendix 1. The generalised linear model -- Appendix 2. Handling tabular data.
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CITATION STYLE
Haan, M. (2009). Statistical Modelling for Social Researchers: Principles and practices. Canadian Journal of Sociology, 34(1), 271–273. https://doi.org/10.29173/cjs4634
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