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Analysis of Variance (Quantitative Applications in the Social Sciences) [Paperback]

Gudmund R. Iversen (Author), Helmut Norpoth (Author)

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Book Description

Publication Date: July 1, 1987 | ISBN-10: 0803930011 | ISBN-13: 978-0803930018 | Edition: 2

The second edition of this book provides a conceptual understanding of analysis of variance. It outlines methods for analysing variance that are used to study the effect of one or more nominal variables on a dependent, interval level variable. The book presumes only elementary background in significance testing and data analysis.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } The second edition of this book provides a conceptual understanding of analysis of variance. It outlines methods for analysing variance that are used to study the effect of one or more nominal variables on a dependent, interval level variable. The book presumes only elementary background in significance testing and data analysis.

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Product Details

Paperback: 96 pages
Publisher: Sage Publications, Inc; 2 edition (July 1, 1987)
Language: English
ISBN-10: 0803930011
ISBN-13: 978-0803930018
Product Dimensions: 8 x 6 x 0.2 inches
Shipping Weight: 6.4 ounces (View shipping rates and policies)
Amazon Best Sellers Rank: #167,384 in Books (See Top 100 in Books)
- #87 in Books > Medical Books > Basic Sciences > Biostatistics

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Inside This Book (learn more)

First Sentence:
How does the public arrive at perceptions of economic well-being? Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
valence variable, correlated explanatory variables, unemployment story, residual variable, inflation stories, interaction mean square, two explanatory variables, residual mean square, metric variable, expected mean square, random model, issue variable, row variable, residual sum, combined variable, interaction sum, nested design, column variable, fixed model, column effects

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Citations (learn more)

This book cites 65 books:

Multivariate Analysis of Variance (Quantitative Applications in the Social Sciences) by James H. Bray in Front Matter, and Back Matter
Analysis of Covariance (Quantitative Applications in the Social Sciences) by Albert R. Wildt in Front Matter, and Back Matter
Expert Systems (Quantitative Applications in the Social Sciences) by Robert A. Benfer in Back Matter
Linear Programming by James P. Ignizio in Back Matter
Statistical Methods by George W. Snedecor in Back Matter

See all 65 books this book cites

100 books cite this book:

Tests of Significance (Quantitative Applications in the Social Sciences) by Ramon E. Henkel in Front Matter, Back Matter (1), and Back Matter (2)
Survey Questions: Handcrafting the Standardized Questionnaire (Quantitative Applications in the Social Sciences) by Jean M. Converse in Back Matter (1), Back Matter (2), and Back Matter (3)
Chaos and Catastrophe Theories (Quantitative Applications in the Social Sciences) by Courtney Brown in Back Matter (1), Back Matter (2), and Back Matter (3)
Three Way Scaling: A Guide to Multidimensional Scaling and Clustering (Quantitative Applications in the Social Sciences) by Phipps Arabie in Back Matter (1), Back Matter (2), and Back Matter (3)
Bayesian Statistical Inference (Quantitative Applications in the Social Sciences) by Gudmund R. Iversen in Back Matter (1), Back Matter (2), and Back Matter (3)

See all 100 books citing this book

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