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Quantitative Research in Communication de Mike Allen

Quantitative Research in Communication

Autor Mike Allen, B. Scott Titsworth, Stephen Hunt
en Limba Engleză Paperback – 4 noi 2008
Statistical Procedures in Communication Research is a textbook for use in advanced undergraduate and entry-level graduate courses in research methods and/or quantitative methods. The book is designed to be economical and is focused on core topics in quantitative communication research ranging from basic statistical procedures (such as frequency distributions) to more advanced procedures (such as multiple regression). In addition, annotated excerpts from research journal articles illustrate the use of various procedures.
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Specificații

ISBN-13: 9781412956963
ISBN-10: 141295696X
Pagini: 256
Dimensiuni: 152 x 229 x 15 mm
Greutate: 0.34 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Cuprins

1. Introduction to Quantitative Research
An Overview of Quantitative Research
Steps in Quantitative Research
An Overview of the Book
2. Using Statistics in Quantitative Research
Types of Statistics
The Logic of Hypothesis Testing
Writing Results
Sample SPSS Output
3. Independent Samples or Students t-Test
Understanding the Independent Samples t-Test
Calculating the Independent Samples t-test
Assumptions of the t-Test
Using Computer Programs to Calculate t-Tests
Interpreting Results of an Independent Samples t-Test
The Independent Samples t-Test in Communication Research
Sample SPSS Printouts
4. ONEWAY Analysis of Variance
Understanding the ONEWAY ANOVA
Calculating a ONEWAY ANOVA
Assumptions of the ONEWAY ANOVA
Using a Computer to Calculate ONEWAY ANOVA
Interpreting the Results of a Significant ONEWAY
The ONEWAY ANOVA in Communication Research
Sample SPSS Printouts
5. Factorial ANOVA
Understanding the Factorial ANOVA
Calculating the Factorial ANOVA
Assumptions of ANOVA
Using Computer Programs to Calculate Factorial ANOVAs
Interpreting the Results of a Significant ANOVA
The Factorial ANOVA in Communication Research
Sample SPSS Printouts
6. Analysis of Covariance
Understanding the Analysis of Covariance
Assumptions of the ANCOVA
Interpreting the Results of ANCOVA
Concluding Comments of ANCOVA
The ANCOVA in Communication Research
Sample SPSS Printouts
7. Multivariate ANOVA
Multivariate Design
Repeated Measures
The MANOVA in Communication Research
Sample SPSS Printouts
8. Chi Square-Statistic
Understanding the Chi-Square Statistic
Calculating a Chi-Square
Assumptions of the Chi-Square Statistic
Using Computer Programs to Calculate a Chi-Square
Interpreting the Results of a Significant Chi-Square Statistic
The Chi-Square in Communication Research
Sample SPSS Printouts
9. Simple Bivariate Correlation
Understanding the Correlation Coefficient
Calculating the Correlation Coefficient
Assumptions of the Correlation Coefficient
Using Computer Programs to Calculate Correlation Coefficients
Interpreting the Results of a Correlation
Correcting for Various Artifacts
The Correlation Coefficient in Communication Research
Sample SPSS Printouts
10. Multiple Regression
Understanding Multiple Regression
Calculating a Multiple Regression
Assumptions of Multiple Regression
Using Computer Programs to Calculate Regression
Interpreting the Results of a Multiple Regression
Multiple Regression in Communication Research
Sample SPSS Output
11. Factor Analysis
The Purpose of Factor Analysis
Exploratory Factor Analysis (EFA)
Confirmatory Factor Analysis (CFA)
Factor Analysis in Communication Research
12. Advanced Modeling Techniques
Understanding Advanced Modeling
Describing the Model
Understanding the Test
Two Methods of Analysis
Other Advanced Modeling Approaches
Path Analysis in Communication Research
13. Meta-Analysis
The Mathematical Argument for Meta-Analysis
The Practical Argument for Meta-Analysis
The Structure of Writing a Meta-Analysis
Meta Analysis in Communication Research
Appendix A: Critical Values for the t Statistic
Appendix B: Critical Values for the Chi Square Statisic
Appendix C: Critical Values for the F Statistic
Appendix D: Critical Values for the r Statistic

Notă biografică

Mike Allen is Professor in the Department of Communication at UW-Milwaukee. Mike received his Ph.D. from Michigan State University, his MA from the University of Wyoming, and his BA from Lewis and Clark College. His primary research interest is in the area of social influence in which he has more than 150 published works. The International Communication Association awarded him the John E. Hunter memorial award for life time achievement in communication research using meta-analysis. He is past editor of Communication Studies and current editor of Communication Monographs.

Descriere

Provides a user-friendly, practical discussion of (a) what the procedure is and why it is used, (b) the assumptions underlying the procedure, (c) what to look for when interpreting output, and (d) how to write the results of the analysis in correct APA style.