Lynne Schrum, PhD, Dean, College of Education and Human Services, West Virginia University
Bravo to Terrell for creating an introduction to statistics that is friendly, conversational, and understandable. His focus on the most frequently used statistical analyses, vocabulary, and methods is absolutely what students need. This is an excellent text for beginners in a quantitative research class or general introduction to research, such as a master's-level Introduction to Educational Research course. It is also useful for early-career academics writing their beginning journal articles, or for experienced faculty members to use as a terrific reference source.
Chris Ohana, PhD, Science, Mathematics, and Technology Education Program, Western Washington University
The readability of this book is a definite plus; it will be easily accessible to advanced undergraduates and graduate students. Specialized vocabulary is defined and used in context, and concepts are clearly explained. I like how the end-of-chapter quizzes require students to integrate concepts highlighted in a given chapter with relevant information from previous chapters.
Tammy Kolbe, EdD, Center for Education Policy Analysis, Neag School of Education, University of Connecticut
I applaud the author for linking statistical reasoning to a problem-oriented framework and for including a discussion of how to identify a researchable problem and frame research questions. The book is well situated to inform upper-level undergraduate and graduate students pursuing practitioner-related degrees. It is written for an audience who may do some basic statistical calculations and analysis, but who primarily will be consumers of statistics and quantitative research. I will recommend this text to colleagues who teach statistics or more general research methods courses for this audience.
Dave Edyburn, PhD, Director of Research, School of Education, University of Wisconsin-Milwaukee
Terrell sees the application of statistics as useful for answering all sorts of interesting academic and real-life questions. His explanations reveal the mysteries behind inferential statistics as he describes how to think statistically. Readers will discover the connections among the hypothesis, dependent measures, selection of appropriate inferential statistical analysis procedures, and how to interpret the evidence. The detailed, step-by-step directions on how to conduct statistical tests using SPSS are a plus; Terrell teaches both theory and practice.