By Bryan E. Denham
Categorical facts for CommunicationResearch provides students with a discipline-specific advisor to specific info research. The textual content blends worthwhile history info and formulation for statistical approaches with facts analyses illustrating recommendations equivalent to log- linear modeling and logistic regression analysis.
- Provides innovations for interpreting express facts from a communique experiences perspective
- Provides an obtainable presentation of suggestions for reading specific information for verbal exchange students and different social scientists operating on the complicated undergraduate and graduate educating levels
- Illustrated with examples from kinds of communique examine comparable to health and wellbeing, political and activities communique and entertainment
- Includes routines on the finish of every bankruptcy and a spouse web site containing workout solutions and chapter-by-chapter PowerPoint slides
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Extra info for Categorical Statistics for Communication Research
And James W. Hardin. 2006. Common Errors in Statistics (and How to Avoid Them). Hoboken, NJ: John Wiley & Sons. Goodman, L. , and E. H. Kruskal. 1954. ” Journal of the American Statistical Association, 49: 732–764. Goodman, L. , and W. H. Kruskal. 1980. Measures of Association for Cross‐Classifications. New York: Springer. Grizzle, James E. 1967. ” The American Statistician, 21: 28–32. Heredia, Mariana. 2012. ” The Red & Black, December 3, 2012. International Business Machines Corporation (IBM).
René Weber, Hee Sun Park, and Craig R Hullett. 2008b. ” Human Communication Research, 34: 188–209. x. Lewis, Don, and C. J. Burke. 1949. ” Psychological Bulletin, 46: 433–489. Liebetrau, Albert M. 1983. Measures of Association. Newbury Park, CA: Sage. McNemar, Q. 1955. Psychological Statistics. New York: John Wiley & Sons. , and Ramon E. Henkel. 1970. The Significance Test Controversy – A Reader. Chicago: Aldine Publishing Company. Mosteller, Frederick. 1968. ” Journal of the American Statistical Association, 63: 1–28.
As with gamma, Somers’ d ranges between −1 and +1 and is interpreted in a similar form. Gibbons (1993, 73) presented the following formula for Somers’ d, indicating A as the independent variable: dB . 8, Somers’ d would be calculated in the following manner, with n representing the table total and fi representing column totals: dB . 34, indicating a moderate relationship between the two variables. Points of Concern in Bivariate Analyses In a classic article addressing mistakes made by researchers who had used chi‐ square analysis, Lewis and Burke (1949) identified nine sources of error: (1) lack of independence among single events or measures; (2) small theoretical frequencies; (3) neglect of frequencies of non‐occurrence; (4) failure to equalize the sum of the observed frequencies and the sum of the theoretical frequencies; (5) indeterminate theoretical frequencies; (6) incorrect or questionable categorizing; (7) use of non‐frequency data; (8) incorrect determination of the number of degrees of freedom; and (9) incorrect computations.
Categorical Statistics for Communication Research by Bryan E. Denham