Denham, Bryan E.,  4  0  1967- <br/><br/>
Categorical statistics for communication research /        6 
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Bryan E. Denham. 
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<br/><br/>Includes bibliographical references and index. 
<br/><br/>Title Page ; Copyright Page; Contents; Detailed Contents; Preface; Acknowledgments; About the Companion Website; Chapter 1 Introduction to€Categorical Statistics; Historical Overview; Probability Distributions and€Parameter Estimation; Example of€Maximum Likelihood Estimation; A Note on€Statistical Software; Chapter Summary; Chapter Exercises; Notes; References; Chapter 2 Univariate Goodness of€Fit and€Contingency Tables in€Two€Dimensions; Chi-Square Test for Goodness of Fit ; Chi-Square Test of Independence in Contingency Tables ; Likelihood Ratio Statistic; Exact Tests for€Small Samples.;McNemar's Test for€Correlated SamplesMeasures of€Association; Odds Ratio; Relative Risk; Phi Coefficient; Cramér's V; Pearson's Contingency Coefficient; Kendall's Tau; Goodman and€Kruskal's Gamma; Somers' d; Points of€Concern in€Bivariate Analyses; SPSS Analyses; Testing Goodness of€Fit in€SPSS; Testing Independence in€SPSS; A Note on€Style; Chapter Summary; Chapter Exercises; Notes; References; Chapter 3 Contingency Tables in Three€Dimensions; Moving from€Two to€Three Dimensions; Cochran-Mantel-Haenszel Test ; Breslow-Day Test ; An Example in€Public Health.;An Example in€Political CommunicationChapter Summary; Chapter Exercises; Note; References; Chapter 4 Log-linear Analysis ; Development of Log-linear Models ; Examples of€Published Research; Log-linear Analysis: Fundamentals ; Two-way Tables ; Three-way Models ; Goodness of€Fit and€Model Selection; Descriptive Statistics and€Residuals for€the€Fitted Model; Parameter Estimation; Ordinal Log-linear Analysis ; Three Ordinal Measures; More Complex Models; Visual Displays; Chapter Summary; Chapter Exercises; Notes; References; Chapter 5 Logit Log-linear Analysis ; Examples of€Published Research.;Logit Log-linear Analysis: Fundamental Components Logit Model with€One Response Measure; Logit Model with€Two Response Measures; SPSS Example; Correspondence Analysis; Chapter Summary; Chapter Exercises; References; Chapter 6 Binary Logistic Regression; Examples of€Published Research; Binary Logistic Regression: Fundamentals; Simple Logistic Regression Analysis; Multiple Logistic Regression Analysis; Interactions; Model Assessment; Additional Statistics; Diagnostic Considerations; Binary Logistic Regression in€SPSS; Chapter Summary; Chapter Exercises; Notes; References.;Chapter 7 Multinomial Logistic Regression Examples of€Published Research; Multinomial Logistic Regression: Fundamentals; Simple Multinomial Logistic Regression Analysis; Multiple Multinomial Logistic Regression Analysis; Conditional Logit Modeling; Multinomial Logistic Regression in€SPSS; Chapter Summary; Chapter Exercises; References; Chapter 8 Ordinal Logistic Regression; Examples of€Published Research; Ordinal Logistic Regression: Fundamentals; Simple Ordinal Logistic Regression Analysis; Multiple Ordinal Logistic Regression Analysis; Interactions; Ordinal Logistic Regression in€SPSS.       
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<br/><br/><label>ISBN: </label>9781119407201   
<br/><br/><label>ISSN: </label>2 
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<br/><br/><label>Standard No.: </label>40026552987         
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<br/><br/><label>LCCN: </label>2016024992 
<br/><br/><label>Nat. Bib. No.: </label> 2 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>    
<br/><br/><label>Subjects--Personal Names: </label><br/>     2     --0------
<br/><br/><label>Subjects--Corporate Names: </label><br/>     6 --0-- 2 --------
<br/><br/><label>Subjects--Meeting Names: </label><br/><br/> 0    2 --
<br/><br/><label>Subjects--Uniform Titles: </label><br/>  --20------
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<br/><br/><label>Subjects--Topical Terms: </label><br/>Communication;Statistics.    ----Research;Statistical methods.----20--
<br/><br/><label>Subjects--Geographic Terms: </label><br/>--------20--
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.----2
<br/><br/><label>LC Class. No.: </label>P93.7  / 2 
<br/><br/><label>Dewey Class. No.: </label>302.23/021  / 223 
<br/><br/><label>National Agricultural Library Call No.: </label> /  
<br/><br/><label>National Library of Medicine Call No.: </label> /  
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