Introduction to Statistical Concepts

Richard G. Lomax is a Professor in the School of Educational Policy and Leadership at The Ohio State University. He received his Ph.D. in Educational Research Methodology from the University of Pittsburgh.　 His research focuses on models of literacy acquisition, multivariate statistics, and assessment.　 He has twice served as a Fulbright Scholar and is a Fellow of the American Educational Research Association.Debbie L. Hahs-Vaughn is an Associate Professor in the College of Education at the University of Central Florida. She received her Ph.D. in Educational Research from the University of Alabama. Her research focuses on methodological and substantive research using complex survey data, program evaluation, and practitioner use of research to inform their practice.　 Dr. Hahs-Vaughn was the recipient of the 2007 College of Education Excellence in Graduate Teaching Award, 2009 College of Education Distinguished Researcher Award, 2009 Teaching Incentive Program Award, and 2009 Research Incentive Award. She is currently the Executive Editor of the Measurement, Statistics, and Research Design section of the Journal of Experimental Education.

• 1. Introduction. 2. Data Representation. 3. Univariate Population Parameters and Sample Statistics. 4. The Normal Distribution and Standard Scores. 5. Introduction to Probability and Sample Statistics. 6. Introduction to Hypothesis Testing: Inferences About a Single Mean. 7. Inferences About the Difference Between Two Means. 8. Inferences About Proportions. 9. Inferences About Variances. 10. Bivariate Measures of Association. 11. One-Factor Analysis of Variance - Fixed-Effects Model. 12. Multiple Comparison Procedures. 13. Factorial Analysis of Variance - Fixed-Effects Model. 14. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate. 15. Random- and Mixed-Effects Analysis of Variance Models. 16. Hierarchical and Randomized Block Analysis of Variance Models. 17. Simple Linear Regression. 18. Multiple Regression. 19. Logistic Regression. Appendix Tables.

"Lomax (Ohio State Univ.) has added a coauthor, Hahs-Vaughn (Univ. of Central Florida), to this third edition (2nd ed., 2007; 1st ed., An Introduction to Statistical Concepts for Education and Behavioral Sciences, CH, Mar'01, 38-3947). The authors have enhanced previous editions by providing an additional chapter on logistic regression and screenshots using G*Power and SPSS software. Focusing on students who plan on doing research in education and the behavioral sciences, this new work offers a more complete conceptual approach, a better understanding of the subject, and a more user-friendly format than do most books in educational research and methodology. The book also includes advanced ANOVA, robust methods, and nonparametric procedures; however, there is very light coverage of probability. The authors address most major topics normally covered in a one- or two-semester statistics course; a basic knowledge of algebra is required. Even though this is an excellent reference for researchers in education and the behavioral sciences, it could easily be used as a textbook for any general statistics course. Summing Up: Highly recommended. Upper-division undergraduates, graduate students, researchers/faculty, and professionals." - D. J. Gougeon, University of Scranton, CHOICE"[This text] would provide an accessible first introduction to statistics to psychologists. ... It covers the basic topics needed at this level and so would give a broad grounding. ... Teachers ... should certainly examine a copy." - David J. Hand, Imperial College, UK, in the International Statistical Review"I have been using this text to teach statistics to beginning and intermediate-level graduate students in education for years and have been extremely impressed with　its readability and emphasis on conceptual understanding. I can’t wait to introduce my students to statistics with this new edition, as it addresses key concepts while also providing real-life examples that will aid them in learning to reason with statistics." --H. Michael Crowson, The University of Oklahoma, USA"This is one of the most complete and lucid introductory statistics textbooks available for education and the social sciences: it blends theory and pragmatics seamlessly. The integration of SPSS into the chapters is a welcome addition. Each chapter describes what to do, why to do it, and how to do it. 　Not only is this book ideal for introductory statistics classes, it is clear and comprehensive enough to allow students to teach themselves statistics." – Betsy McCoach, University of Connecticut, USA"The unique blend of conceptual approaches to statistical learning, interpretative exercises, and APA styled write-ups sets this book apart from other texts. The broad coverage of statistical procedures, SPSS generation and interpretation, and emphasis on statistical assumptions will serve students and researchers." - 　C.Y. Joanne Peng, Indiana University, USA"Combining theory and mathematical accessibility with examples, SPSS applications, and APA style write-ups, this is a fascinating book for introductory statistical courses in the social and behavioral sciences. It has a broad coverage of topics and should prove invaluable as a classroom text or as a reference for applied researchers. " - Feifei Ye, University of Pittsburgh, USA"Practical throughout, this edition delivers a nice balance between technical detail and understandable explanations of basic statistical methods appropriate for graduate students in the social sciences. The book recognizes the importance of effect sizes, offers screen shots of how to execute a statistical analysis in SPSS with annotated output, provides graphs of sampling distributions to help users make correct decisions regarding their own research, and features APA guidelines with sample write-ups." - Jeffrey R. Harring, University of Maryland, USA"This book is a refreshing treatment of introductory statistical concepts. The clear content, easy-to-follow software examples, and comprehensive coverage of topics will be extremely useful for researchers in the early stages of their statistical development." - Brian F. French, USA Washington State University"Lomax and Hahs-Vaughn write clearly. ... Writing statistical results in APA format is great for graduate students. ... The … changes ... make the book a better teaching tool. ... The level is appropriate for graduate and doctoral students in psychology, sociology, and education. ... The basic terms and concepts are defined and developed clearly, accurately, and in an interesting manner." - Robert P. Conti, Sr., Mount Saint Mary College, USA