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Communication Research Statistics

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ISBN-10: 0761929878

ISBN-13: 9780761929871

Edition: 2006

Authors: John C. Reinard

List price: $151.00
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Description:

???While most books on statistics seem to be??written as though targeting other statistics professors, John Reinard's Communication Research Statistics is especially impressive because it is clearly intended for the student reader, filled with unusually clear explanations and with illustrations on the use of SPSS.????I enjoyed reading this lucid, student-friendly book and expect students will benefit enormously from its content and presentation.?? Well done!" --John C. Pollock, The College of New JerseyWritten in an accessible style using straightforward and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research…    
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Book details

List price: $151.00
Copyright year: 2006
Publisher: SAGE Publications, Incorporated
Publication date: 4/20/2006
Binding: Paperback
Pages: 600
Size: 7.20" wide x 8.80" long x 1.10" tall
Weight: 2.134
Language: English

John C. Reinard (Ph.D., Southern California) is a professor of Human Communication Studies at California State University, Fullerton. He regularly teaches graduate and undergraduate courses in research methods, quantitative research, persuasion, critical thinking, and argumentation. He received his Ph.D. from the University of Southern California in 1975, after which he served on the faculties at California Polytechnic State University, San Luis Obispo and Arizona State University. He also has served as a master instructor in statistical process control for Motorola. He is the author of Introduction to Research in Communication, soon to be published in its fourth edition, as well as…    

Preface
Introduction to Statistical Analyses
Using Statistics to Conduct Quantitative Research
A World of Statistics
Why Do Quantitative Research?
Typical Steps Involved in Quantitative Research
Collecting Data on Variables
Variables and Hypotheses
Measurement of Variables
Sampling
Descriptive Statistics
Central Tendency
Doing a Study and Reporting Descriptive Information
Typical Measures of Central Tendency
Relations among Mean Median and Mode
Looking at Variability and Dispersion
Assessing Dispersion
The Relationship Between Measures of Central Tendency and Variability
Examining Distributions
Correlations
The Notion of Correlation
Elements of the Correlation
Computing the Pearson Product-Moment Correlation
Matters Affecting Correlations
Methods of Correlations
Alternative Forms of Association
Ensuring Reliability and Validity
The Notion of Measurement Acceptability
How to Do a study of Measurement Adequacy
Reliability
Validity
The Relation of Validity to Reliability
Inferential Statistics
Statistical Significance Hypothesis Testing when Comparing Two Means
Doing a Study that Tests a Hypothesis of Differences Between Means
Assumptions in Parametric Hypothesis Testing
Comparing Sample and Population Means
Comparing the Means of Two Sample Groups: The Two-Sample t Test
Comparing Means Differences of Paired Scores: The Paired Difference t
Assessing Power
Comparing More than Two Means: One-Way Analysis of Variance
Hypothesis Testing for More than Two Means
The Analysis of Variance Hypothesis Test
What after ANOVA? Multiple Comparison Tests
Extensions of Analysis of Variance
Factorial Analysis of Variance
Doing a Study that Involves More than One Independent Variable
Types of Effect to Test
Computing the Fixed-Effect ANOVA
Random and Mixed-Effects Designs
Nonparametric Tests
Nonparametric Tests for Categorical Variables
The Notion of "Distribution-Free" Statistics
Conducting a Study that Requires Nonparametric Tests of Categorical Data
The Chi-Square Test
Alternatives to Chi-Square for Frequency Data
Nonparametric Tests for Rank Order Dependent Variables
Doing a Study Involving Ordinal Dependent Variables
Comparing Ranks of One Group to Presumed Populations Characteristics: Analogous Tests to One-Sample t Tests
Comparing Ranks from Two Sample Groups
Comparing Ranks from More than Two Sample Groups: Analogous Tests to One-Way ANOVA
Advanced Statistical Applications
Meta-Analysis
Meta-Analysis: An Alternative to Artistic Literature Reviews
Conducting the Meta-Analysis Study
Using Computer Techniques to Perform Meta-Analysis
Multiple Regression Correlation
Contrasting Bivariate Correlation and Multiple Regression Correlation
Components of Multiple Correlations
How to Do a Multiple Regression Correlation Study
Extensions of Multiple Regression Correlation
Using Categorical Predictors
Contrasting Full and Reduced Models: Hierarchical Analysis
Interaction Effects
Examining Nonlinear Effects
Exploratory Factor Analysis
Forms of Factor Analysis
The Notion of Multivariate Analyses
Exploratory Factor Analysis
Confirmatory Factor Analysis Through the AMOS Program
The Notion of Confirmatory Factor Analysis
Using the AMOS Program for Confirmatory Factor Analysis
Modeling Communication Behavior
The Goals of Modeling
How to Do a Modeling Study
Path Models
Using the AMOS Program
Using Excel XP to Analyze Data
Getting Ready to Run Statistics With Excel
Handling Data
Using the Menu Bar
Toolbars
How to Run Statistics From the Analysis ToolPak
Using Functions
Using SPSS 12 for Windows
How to enter and Screen Your Own Data in SPSS
How to Enter Data From a Word Processor
How to Create Indexes From Scales
Commands in the SPSS System
Dealing With Output
Alternative Editing Environments
Tables
References
Index
About the Author