£135.00

Sage Publications Sage Introducing Anova and Ancova: A GLM Approach Book

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Description

Modernize your understanding of statistical analysis with Introducing Anova and Ancova: A GLM Approach. As traditional methods for ANOVA and ANCOVA are replaced by General Linear Modeling (GLM), this text provides a necessary bridge for students and researchers. Part of the Introducing Statistical Methods series by Sage Publications, this book explains how separate regression and ANOVA developments are unified under the General Linear Model. By starting with a brief history of these statistical forms, the text provides context for why the GLM approach is becoming the standard. You will see a simple single independent factor ANOVA analyzed through both conventional and GLM lenses, making the transition between methods clear and easy to follow. This comparative method helps build a strong foundation before moving into more complex territory. Designed for clarity, the book covers essential designs including both independent and related ANOVA, as well as ANCOVA. It explores single and multi-factor designs to ensure you have a complete grasp of the subject. Whether you are studying anthropology, sociology, or other social sciences, this guide offers a structured way to master these essential statistical tools.

Key Features

Explains the transition from traditional ANOVA and ANCOVA methods to the modern General Linear Modeling (GLM) approach.

Provides historical context by detailing the separate development of ANOVA and regression analyses.

Uses comparative analysis by applying both conventional and GLM terms to a single independent factor ANOVA.

Covers a wide range of statistical designs including independent and related ANOVA and ANCOVA.

Includes detailed instruction on both single and multi-factor designs for comprehensive learning.

Part of the reputable Introducing Statistical Methods series from Sage Publications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 November 2000
Listed Since
14 February 2007

Barcode

No barcode data available

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