Social Science Research Design and Statistics: A Practitioner's Guide to Research Methods and SPSS Analysis - Softcover

Rovai, Alfred P.; Baker, Jason D.; Ponton, Michael K.

Softcover

ISBN 10: 0978718674 ISBN 13: 9780978718671

Publisher: Watertree Press, 2012

Synopsis

This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.

About this title

About the Author

Alfred P. (Fred) Rovai, a native of San Jose, California, received a BA degree (mathematics) from San Jose State University, an MA degree (public administration) from the University of Northern Colorado, and an MS degree (education) and PhD degree (academic leadership) from Old Dominion University. Following his retirement from the U.S. Army he served as a faculty member at Old Dominion University and then at Regent University where he retired as Associate Vice President for Academic Affairs. During his career in academe he authored or co-authored three books and more than 50 articles in scholarly journals. He presently writes, consults, and serves as an adjunct professor teaching research and statistics courses online. 

Jason D. Baker is a professor of education at Regent University where he serves as the distance education advisor in a blended EdD program. He earned his BS degree in electrical engineering from Bucknell University, MA degree in education from The George Washington University, and PhD in communication from Regent University. He has consulted with various organizations regarding educational technology and online learning. Previously he served as an educational consultant and senior systems engineer at Loyola College in Maryland and associate engineer at IBM Federal Systems Company. 

Michael K. Ponton holds an EdD degree in higher education administration and a MS degree in engineering from The George Washington University and a BS degree in physics from Old Dominion University. He serves as professor of education at Regent University, teaching primarily doctoral research courses. He has published extensively in the field of self-directed learning, where his research interests include adult learning, personal initiative, autonomous learning, and social cognitive theory. Before coming to Regent, he was associate professor of higher education at the University of Mississippi and an aerospace engineer for the National Aeronautics and Space Administration.

From the Back Cover

This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.

Goodness of Fit Tests

Chi-square goodness of fit test, binomial test, one-sample Kolmogorov-Smirnov test, one-sample Shapiro-Wilk test, Wald-Wolfowitz runs test, and one-sample t-test

Difference Tests

McNemar test, related samples sign test, Wilcoxon signed ranks test, Cochran's Q test, Mann-Whitney U test, median test, Kruskal-Wallis H test, Friedman test, Levene's test of equality of variances, independent t-test, dependent t-test, between subjects analysis of variance, within subjects analysis of variance, multivariate analysis of variance, and analysis of covariance

Correlation and Prediction Tests

Pearson chi-square contingency table analysis, relative risk, phi, Cramer's V, lambda, contingency coefficient, eta correlation coefficient, Spearman rank order correlation coefficient, gamma, Somers' d, Kendall's tau-b, Kendall's tau-c, intraclass correlation coefficient, binomial logistic regression, Cohen's kappa measure of agreement, Pearson product-moment correlation coefficient (Pearson's r), internal consistency reliability analysis (Cronbach's alpha, split-half, Guttman, parallel, strict parallel), point-biserial correlation coefficient, partial correlation, bivariate regression, multiple regression and correlation, discriminant analysis, principal components and factor analysis, canonical correlation analysis, and two-step cluster analysis

Edition details

• Publisher: Watertree Press
• Publication date: 2012
• Language: English
• ISBN 10: 0978718674
• ISBN 13: 9780978718671
• Binding: Paperback
• Edition number: 1
• Number of pages: 558