<p>Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for <em>modelling </em>data.</p><p>In this logical, easy-to-follow and exceptionally clear book, <strong>David Flora </strong>provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to:</p><ul><li>Understand and choose the right statistical model to fit your data</li><li>Match substantive theory and statistical models</li><li>Apply statistical procedures hands-on, with example data analyses</li><li>Develop and use graphs to understand data and fit models to data</li><li>Work with statistical modeling principles using any software package</li><li>Learn by applying, with input and output files for R, SAS, SPSS, and Mplus.</li></ul><p><strong>Statistical Methods for the Social and Behavioural
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