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Quantitative Applications in the Social Sciences Ser.: Confidence Intervals by Michael Smithson (2002, Trade Paperback)
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About this product
Product Identifiers
PublisherSAGE Publications, Incorporated
ISBN-10076192499X
ISBN-139780761924999
eBay Product ID (ePID)27038426338
Product Key Features
Number of Pages104 Pages
LanguageEnglish
Publication NameConfidence Intervals
Publication Year2002
SubjectMethodology, Research, Statistics
TypeTextbook
Subject AreaSocial Science
AuthorMichael Smithson
SeriesQuantitative Applications in the Social Sciences Ser.
FormatTrade Paperback
Dimensions
Item Height0.2 in
Item Weight5 Oz
Item Length8.3 in
Item Width5.5 in
Additional Product Features
Intended AudienceCollege Audience
LCCN2002-009707
Dewey Edition21
Series Volume Number140
IllustratedYes
Dewey Decimal519.5/38
Table Of ContentCh 1 Introduction and Overview Ch 2 Confidence Statements and Interval Estimates Why Confidence Intervals? Ch 3 Central Confidence Intervals Central and Standardizable versus Noncentral Distributions Confidence Intervals Using the Central t and Normal Distributions Confidence Intervals Using the Central Chi-Square and F Distributions Transformation Principle Ch 4 Noncentral Confidence Intervals for Standardized Effect Sizes Noncentral Distributions Computing Noncentral Confidence Intervals Ch 5 Applications in Anova and Regression Fixed-Effects ANOVA Random-Effects ANOVA A Priori and Post-Hoc Contrasts Regression: Multiple, Partial, and Semi-Partial Correlations Effect-Size Statistics for MANOVA and Setwise Regression Confidence Interval for a Regression Coefficient Goodness of Fit Indices in Structural Equations Models Ch 6 Applications in Categorical Data Analysis Odds Ratio, Difference between Proportions and Relative Risk Chi-Square Confidence Intervals for One Variable Two-Way Contingency Tables Effects in Log-Linear and Logistic Regression Models Ch 7 Significance Tests and Power Analysis Significance Tests and Model Comparison Power and Precision Designing Studies Using Power Analysis and Confidence Intervals Confidence Intervals for Power Concluding Remarks References About the Author
SynopsisUsing lots of easy to understand examples from different disciplines, Michael J Smithson introduces the basis of the confidence interval framework and provides the criteria for 'best' confidence intervals, along with the trade-offs between confidence and precision. Confidence Intervals covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter confidence intervals on distributions whose shape changes with the value of the parameter being estimated the relationship between confidence interval and significance testing frameworks, particularly regarding power., Smithson first introduces the basis of the confidence interval framework and then provides the criteria for "best" confidence intervals, along with the trade-offs between confidence and precision. Next, using a reader-friendly style with lots of worked out examples from various disciplines, he covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power., Using lots of easy to understand examples from different disciplines, Michael J Smithson introduces the basis of the confidence interval framework and provides the criteria for 'best' confidence intervals, along with the trade-offs between confidence and precision. Confidence Intervals covers such pertinent topics as: the transformation principle ......
LC Classification NumberHA31.2.S59 2003
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