E-grāmata: Research Design and Statistical Analysis

Having worn out the 3rd edition to the point of disintegration, I was pleased to learn of this new edition. The authors have elevated the book to new heights by Rotellos lucid and precise expository narrative and the incorporation of R.

Chad Dubé, Associate Professor of Psychology, University of South Florida, USA

"Exploring advanced statistical analysis alongside robust research design principles, this rigorous yet accessible text prepares graduate students for practical applications through real-world examples and R/SPSS integration - purpose-built for a full-year curriculum."

Michael J. Hautus, Professor of Psychology, University of Auckland, New Zealand

Students of psychological methods must develop a skillset that allows them to design, conduct, and analyze data from research studies with the level of care required to arrive at sound statistical inference.Research Design and Statistical Analysis by Rotello, Myers, Well, and Lorch guides researchers in this journey by discussing the complex topics needed to develop these skills in a comprehensive, yet comprehensible, manner. Their approach uses clear and focused writing to build students understanding of concepts ranging from the most basic research designs, descriptive statistics, and hypothesis testing methods to more complex matters, such as repeated-measures designs, the use of covariates, and contrast testing. I also appreciate how the authors introduce students to the use of statistical software packages, such as SPSS and R, in their work. Many textbooks provide code. However, it is much rarer that a textbook balances both computational instruction and the information needed to use statistical software packages in a responsible manner. By exposing students to the assumptions underlying design and analysis choices, as well as common errors in data analysis and inference, Rotello, Myers, Well, and Lorch give researchers insight into the issues they should be considering before making judgments with only a point-and-click summary of results. The third edition of the text was my first formal introduction to methods and over 10 years later, its still the first book I reach for whether I am double-checking my methodological understanding of a complex topic in my own work or am recommending a must-have reference for an aspiring experimental researcher.

Ryan Guggenmos, Associate Professor of Accounting and Cramer Research Fellow, Darla Moore School of Business, University of South Carolina, USA