Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don't know where to begin? Do you want to be able to perform all the same functions you use in IBM® SPSS® in R? Is your license to IBM® SPSS® expiring, or are you looking to provide your students guidance to a freely-available statistical software program? Moving from IBM® SPSS® to R and RStudio ®: A Statistics Companion is a concise and easy-to-read guide for users who want to know learn how to perform statistical calculations in R. Brief chapters start with a step-by-step introduction to R and RStudio, offering basic installation information and a summary of the differences. Subsequent chapters walk through differences between SPSS and R, in terms of data files, concepts, and structure. Detailed examples provide walk-throughs for different types of data conversions and transformations and their equivalent in R. Helpful and comprehensive appendices provide tables of each statistical transformation in R with its equivalent in SPSS and show what, if any, differences in assumptions factor to into each function. Statistical tests from t-tests to ANOVA through three-factor ANOVA and multiple regression and chi-square are covered in detail, showing each step in the process for both programs. By focusing just on R and eschewing detailed conversations about statistics, this brief guide gives adept SPSS users just the information they need to transition their data analyses from SPSS to R.
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Howard Tokunaga is Professor of Psychology at San Jose State University, where he serves as Coordinator of the MS Program in Industrial/Organizational (I/O) Psychology and teaches undergraduate and graduate courses in statistics, research methods, and I/O psychology. He received his bachelor’s degree in psychology at UC Santa Cruz and his Ph.D. in psychology at UC Berkeley. In addition to his teaching, he has consulted with a number of public sector and private sector organizations on a wide variety of management and human resource issues. He is author of Moving from IBM SPSS to R and RStudio: A Statistics Companion, and co-author (with G. Keppel) of Introduction to Design and Analysis: A Student’s Handbook. In his spare time, he enjoys the outdoors, museums, live theater, and being physically, socially, and politically active as possible.
The concise and easy-to-read guide for users who want to learn how to perform the same statistical calculations in R as in SPSS.
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