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Quantitative Applications in the Social Sciences #61: Multiple Comparisons

by

Quantitative Applications in the Social Sciences #61: Multiple Comparisons Cover

 

Synopses & Reviews

Synopsis:

Multiple Comparisons demonstrates the most important methods of investigating differences between levels of an independent variable within an experimental design. The authors review the analysis of variance and hypothesis testing and describe the dimensions on which multiple comparisons vary. A feature is the use made of a famous experiment by Solomon Asch on group conformity. The authors demonstrate the statistical power of each method against this one experimental question.

Synopsis:

Describes the most important methods used to investigate differences between levels of an independent variable within an experimental design. Readers will learn not only how to conduct multiple comparisons in experimental designs but also how to better understand and evaluate published research. "A highly readable introduction to multiple comparison methods, which demands little from its reader in the way of background other than some familiarity with analysis of variance." --The Statistician

Product Details

ISBN:
9780803920514
Introduction:
Niemi, Richard G.
Author:
Sax, Gilbert
Introduction by:
Niemi, Richard G.
Introduction:
Niemi, Richard G.
Author:
Klockars, Alan J.
Publisher:
Sage Publications (CA)
Location:
Beverly Hills :
Subject:
General
Subject:
Research
Subject:
Social sciences
Subject:
Information Theory
Subject:
Social sciences -- Mathematics.
Subject:
Multiple comparisons (Statistics)
Subject:
Multiple comparisons
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Edition Description:
Bibliography: p. 93-95.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
62
Publication Date:
19860931
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
88
Dimensions:
5.76x8.86x.23 in. .24 lbs.

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Related Subjects

History and Social Science » Sociology » Reference and Methodology
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Quantitative Applications in the Social Sciences #61: Multiple Comparisons New Trade Paper
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$22.75 In Stock
Product details 88 pages Sage Publications - English 9780803920514 Reviews:
"Synopsis" by , Multiple Comparisons demonstrates the most important methods of investigating differences between levels of an independent variable within an experimental design. The authors review the analysis of variance and hypothesis testing and describe the dimensions on which multiple comparisons vary. A feature is the use made of a famous experiment by Solomon Asch on group conformity. The authors demonstrate the statistical power of each method against this one experimental question.
"Synopsis" by , Describes the most important methods used to investigate differences between levels of an independent variable within an experimental design. Readers will learn not only how to conduct multiple comparisons in experimental designs but also how to better understand and evaluate published research. "A highly readable introduction to multiple comparison methods, which demands little from its reader in the way of background other than some familiarity with analysis of variance." --The Statistician
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