SMCS cover

 

Statistical Methods for Communication Science

 

Andrew F. Hayes

The Ohio State University

 

 

Published by Taylor and Francis.

Click the cover image above to order.

Click here to view the table of contents and preface.

 

Here is a review of the book recently published in Mass Communication and Society.

Here is a review of the book recently published in The American Statistician.

 

From the back cover

Statistical Methods for Communication Science focuses exclusively on the use of 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, multiple 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 the book include:
*clear, conversational, and engaging tone;
*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; 
*a CD 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.

 

Data files

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

SPSS data

 

SPSS portable

 

SAS transport

 

STATA data

 

Minitab data

 

Excel

 

ASCII

 

 

 

 

 

 

 

 

Alcohol

alcohol.sav

alcohol.por

alcohol.tpt

alcohol.dta

alcohol.mtw

alchol.xls

alcohol.dat

Censor

censor.sav

censor.por

censor.tpt

censor.dta

censor.mtw

censor.xls

censor.dat

Methods

methods.sav

methods.por

methods.tpt

methods.dta

methods.mtw

methods.xls

methods.dat

NES2000

nes2000.sav

nes2000.por

nes2000.tpt

nes2000.dta

nes2000.mtw

nes2000.xls

nes2000.dat

Ohio

ohio.sav

ohio.por

ohio.tpt

ohio.dta

ohio.mtw

ohio.xls

ohio.dat

rddusa

rddusa.sav

rddusa.por

rddusa.tpt

rddusa.dta

rddusa.mtw

rddusa.xls

rddusa.dat

Sundar

sundar.sav

sundar.por

sundar.tpt

sundar.dta

sundar.mtw

sundar.xls

sundar.dat

Wtsc

wtsc.sav

wtsc.por

wtsc.tpt

wtsc.dta

wtsc.mtw

wtsc.xls

wtsc.dat

 

 

 

 

 

 

 

 

For details on the variables in the these files, see Appendix E

 

 

 

 

 

 

 

 

 

 

SPSS macro files

 

 

 

 

 

 

 

 

 

 

 

 

 

 

SPSS syntax

 

 

 

 

 

 

 

 

 

BOOTMEAN

bootmean.sps

 

 

 

BOOTDIFF

bootdiff.sps

 

 

 

PERMREG

permreg.sps

 

 

 

RANDGRP

randgrp.sps

 

 

 

HC3REG

hc3reg.sps

 

 

 

AGREE

MEANSAMP

RSAMP

agree.sps

meansamp.sps

rsamp.sps

 

 

 

 

 

 

 

 

For instructions on the use of these macros, see Appendix F

For additional macros, see below

 

 

 

 

 

 

 

 

 

 

 

SPSS files for data extraction

 

 

 

 

 

 

 

 

 

 

 

 

 

SPSS syntax

 

 

 

 

 

 

 

 

 

 

NES2000

nes2000.sps

 

 

 

 

 

 

 

 

 

 

 

 

Data and Macro Appendices

 

 

 

 

 

 

 

 

PDF

 

 

 

 

Example data

SPSS Macros

Appendix E

Appendix F

 

 

 

 

 

 

 

 

 

 

 

 

Links to Free Software for Resampling

 

  Resampling Statistics

 

 

Miscellaneous Documents and Macros

 

Graphing Interactions: Dichotomous by Quantitative (PDF)

Graphing Interactions: Quantitative by Quantitative (PDF)                                                 

Sampling Animation (Powerpoint)

Randomization Test Animation (Powerpoint) (Note: a prior version had a minor computational error on one of the slides.)

Links to some of my macros not found on the CD

An SPSS macro that computes Krippendorff’s alpha for any level of measurement, any number of judges

An SPSS and SAS macro that implements various tests of mediation in simple mediation models

Another SPSS and SAS macro for testing indirect effects in multiple mediation models

 

 

 

For a PDF that documents some important errors in the book that slipped through the

editorial process, click here.

 

To download all files on the CD (in ZIP format), click here.