Statistical Methods for the Social and Behavioural Sciences

A Model-Based Approach

By: David B. Flora

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eText | 11 December 2017 | Edition Number 1

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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 modelling data.

In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to:

Understand and choose the right statistical model to fit your data
Match substantive theory and statistical models
Apply statistical procedures hands-on, with example data analyses
Develop and use graphs to understand data and fit models to data
Work with statistical modeling principles using any software package
Learn by applying, with input and output files for R, SAS, SPSS, and Mplus.

Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.

Industry Reviews

The perfect companion guide to common statistical issues ranging from simple regression to structural equation modeling that new graduate students or seasoned faculty members will invariably encounter on their research journeys. This text will be useful for busy researchers throughout graduate school and tenure. Clear and accessible with engaging, thoughtful examples and diagrams, this is a welcome addition that will be my go-to text for guidance on statistical models. I foresee this text being on my bookshelf for years to come.