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Moving from IBM® SPSS® to R and RStudio®: A Statistics Companion

English

By (author): Howard T. Tokunaga

Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you dont 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.  See more
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Product Details
  • Weight: 450g
  • Dimensions: 152 x 228mm
  • Publication Date: 15 Jun 2021
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781071817001

About Howard T. Tokunaga

Howard T. 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 bachelors degree in psychology at UC Santa Cruz and his PhD 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 coauthor (with G. Keppel) of Introduction to Design and Analysis: A Students Handbook.

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