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Quantitative Research in Communication
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Quantitative Research in Communication



September 2008 | 256 pages | SAGE Publications, Inc
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.
 
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

 

This is an excellent book. My students love it.

Dr Mark Wu
Communications Dept, California State University - Fullerton
September 23, 2010

I particularly like the chapter on meta-analysis as this is one topic that most of the books on survey that I have been using do not discuss.

Dr Florinda Mateo
Department of Communication Research, University of the Philippines
April 5, 2010

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