Handbook of Univariate and Multivariate Data Analysis with IBM SPSS by Robert Ho Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. Their understanding of SPSS users' concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into 'essential' and 'advanced' sections to suit readers at different levels frequently asked questions at the end of each chapter.
It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. Hinton Isabella McMurray Charlotte Brownlow SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS.
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