Statistical Methods for Communication Studies

1. Auflage 2025
ISBN: 978-1-032-81488-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 178 mm x 254 mm

A step-by-step guide through various stages of data preparation and analysis, this text demonstrates descriptive and inferential statistics in communication studies.

This book equips communication students with the tools they need to engage in quantitative research, ensuring that they understand why the statistical tools they chose are most appropriate for their data. Using examples and data directly relevant to communication researchers, this text provides guidance on how to use and interpret SPSS and write up results, with further guidance via free online material in using Excel and R. Instead of focusing on formulas and in-depth mathematics, this book provides a hands-on approach to understanding the theory, practice, and application of statistical methods in communication. In addition to covering the standard statistical tools used to analyze social science data for hypothesis testing (e.g., correlation, regression, ANOVA), it also covers advanced factor-analytic techniques specific to measurement validation as well as data visualization guidance.

Ideally suited for statistics or quantitative methods courses in communication studies programs at the advanced and graduate level.

Online resources include tutorials on SPSS, Excel, and R for key constructs and practice quizzes for students. Instructors will find an instructor manual and test bank. Please visit www.routledge.com/9781032814872.

Zielgruppe

Postgraduate and Undergraduate Advanced

Autoren/Hrsg.

Zeng, Cheng

Croucher, Stephen M.

Kelly, Stephanie

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein
• Mathematik | Informatik Mathematik Stochastik
• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften

Inhaltsverzeichnis

1. Introduction  2. Measurement Fundamentals  3. SPSS and Excel  4. Data Visualization  5. Describing Data  6. Normality And Outliers  7. The Research Process  8. Correlation  9. Simple Linear Regression  10. Multiple Regression  11. t-Tests  12. Analysis of Variance (Anova)  13. Multiple Analysis of Variance (Manova)  14. Analysis And Multiple Analysis of Covariance (Ancova And Mancova)  15. Repeated Measures  16. Chi-Square (c2)  17. Reliability Analysis  18. Exploratory Factor Analysis  19. Principal Components Analysis  20. Confirmatory Factor Analysis

Über Autor(innen)

Stephen M. Croucher is a professor in the Department of Communication at Clemson University, U.S.A. He studies organizational and intercultural communication. He has authored more than 130 journal articles and authored/co-edited more than 15 books. He has served as the editor of the Journal of Intercultural Communication Research, Speaker & Gavel, and the Review of Communication, and is editor-elect for Communication Monographs. He is a fellow of the International Communication Association and president of the World Communication Association.

Stephanie Kelly is a professor of data and communication at North Carolina A&T State University, U.S.A. Her research focuses on presence variables such as immediacy, credibility, and solidarity in workplace, educational, and technology-mediated contexts. She has published over 100 peer-reviewed articles in journals such as Communication Education, Communication Quarterly, and the International Journal of Business Communication. She currently serves as editor-elect of the Review of Communication.

Cheng Zeng is an associate professor in the Department of Communication at North Dakota State University, U.S.A. His research focuses on organizational communication phenomena, including organizational dissent, assimilation, and workplace freedom of speech across diverse cultural contexts. His work has been published in well-regarded communication journals such as the Journal of Communication Management, Journal of Strategic Communication, and Communication Studies.