By Bryan E. Denham
Categorical facts for CommunicationResearch offers students with a discipline-specific consultant to express info research. The textual content blends valuable heritage details and formulation for statistical methods with information analyses illustrating innovations reminiscent of log- linear modeling and logistic regression analysis.
- Provides strategies for reading express information from a communique stories perspective
- Provides an obtainable presentation of innovations for studying express information for verbal exchange students and different social scientists operating on the complicated undergraduate and graduate educating levels
- Illustrated with examples from sorts of verbal exchange examine corresponding to healthiness, political and activities verbal exchange and entertainment
- Includes routines on the finish of every bankruptcy and a significant other site containing workout solutions and chapter-by-chapter PowerPoint slides
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Additional resources for Categorical Statistics for Communication Research
50 2 Cell c. 29 Cell b. 30 Cell d. 079 For a cross‐tabulation, degrees of freedom are calculated by multiplying the number of rows minus one (rows − 1) by the number of columns minus one (columns − 1). In a 2 × 2 contingency table, (2 − 1) multiplied by (2 − 1) equals 1 degree of freedom. 05. This means the null hypothesis of independence is rejected and a significant association between time period and references to equine drug use is observed. Likelihood Ratio Statistic An alternative to the chi‐square test of independence is the likelihood ratio statistic (G 2), which follows a chi‐square distribution and usually produces a value close to the chi‐square estimate.
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Mathematical Methods of Statistics. Princeton, NJ: Princeton University Press. Delucchi, Kevin L. 1983. ” Psychological Bulletin, 94: 166–175. Denham, Bryan E. 2014. S. ” Journalism & Mass Communication Quarterly, 91: 17–37. 1177/1077699013514415. Fienberg, Stephen E. 2007. The Analysis of Cross‐Classified Categorical Data, 2nd ed. New York: Springer. Fisher, R. A. 1934. Statistical Methods for Research Workers, 5th ed. Edinburgh: Oliver and Boyd. Gibbons, Jean Dickinson. 1993. Nonparametric Measures of Association.