Statistical Methods for Communication ScienceRoutledge, 14 oct 2020 - 536 páginas Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication. Highlights of this text include: *thorough and balanced coverage of topics; *integration of classical methods with modern "resampling" approaches to inference; *consideration of practical, "real world" issues; *numerous examples and applications, all drawn from communication research; *up-to-date information, with examples justifying use of various techniques; and *downloadable resources with macros, data sets, figures, and additional materials. This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline. |
Índice
Sampling | |
www comm ohiostate eduahayessmcs | |
To the Instructor | |
5 | |
6 | |
9 | |
Simple Linear Regression | |
Multiple Linear Regression | |
Single Factor Analysis of Variance | |
ANOVA With Statistical Controls | |
Interaction | |
Appendix A Table of RightTail Normal Probabilities | |
Table of RightTail Critical χ2 Values | |
Otras ediciones - Ver todo
Statistical Methods for Communication Science Andrew F. Hayes No hay ninguna vista previa disponible - 2005 |
Términos y frases comunes
agreement alternative hypothesis analysis ANOVA assumption average categorization Chapter classical test theory coders coding coin flips communication researchers compute confidence interval construct correlation data set defined derived described effect equal equation estimate example expected value Figure flips frequency hypothesis is true hypothesis testing independent interaction interpretation kurtosis mean difference measurement error median method multiple regression newspaper normal distribution null and alternative null hypothesis observed scores obtained result outcome variable p-value partial Pearson’s person political discussion political knowledge population inference population mean predicted predictor variable probability distribution probability of getting problem procedure quantifies question random sampling random variable randomly selected regression coefficients regression model regression weight reject relationship relatively reliability research hypothesis responses sample mean sampling distribution scatterplot SPSS squared standard deviation standard error statistical programs Table tend true score TV viewing Type I error valid variance Z-score zero