Categorical statistics for communication research / Bryan E. Denham. 6
By: Denham, Bryan E., 4 0 16 [, author.] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; Chichester, UK ;;Malden, MA : John Wiley & Sons, [2017]46Edition: Description: 1 online resource (xx, 270 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781119407201ISSN: 2Other title: 6 []Uniform titles: | | Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- Research;Statistical methods. Communication;Statistics. -- -- 20 -- | -- -- -- 20 -- --Genre/Form: Electronic books. -- 2 -- Additional physical formats: Categorical statistics for communication research.DDC classification: | 302.23/021 LOC classification: | P93.7 | 2Other classification:| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Book | PLM | PLM Circulation Section | Circulation-Circulating | P93.7 .D46 2017 (Browse shelf) | Available | C-EB158 |
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Includes bibliographical references and index.
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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