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Statistical methods for the social & behavioural sciences : a model-based approach

Author: David B Flora
Publisher: Los Angeles ; London : SAGE, 2018. ©2018
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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.--
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Genre/Form: Statistics
Document Type: Book
All Authors / Contributors: David B Flora
ISBN: 9781446269824 1446269825 9781446269831 1446269833
OCLC Number: 1022876425
Description: xvi, 456 pages : illustrations ; 25 cm
Contents: Foundations of statistical modeling demonstrated with simple regression --
Multiple regression with continuous predictors --
Regression with categorical predictors --
Interactions in multiple regression : models for moderation --
Using multiple regression to model mediation and other indirect effects --
Introduction to multilevel modeling --
Basic matrix algebra for statistical modeling --
Exploratory factor analysis --
Structural equation modeling I : Path analysis --
Structural equation modeling II : Latent variable models --
Growth curve modeling
Other Titles: Statistical methods for the social and behavioural sciences
Responsibility: David B. Flora.

Abstract:

Flora provides a comprehensive survey of the major statistical procedures, along with an innovative model-based approach, teaching researchers how to understand and choose the best model to fit their  Read more...

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This text by Dave Flora is an excellent resource for researchers. Each chapter builds upon the next in a logical progression. The use of examples throughout, particularly having datasets available Read more...

 
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