SPSS explained
Author(s)
Bibliographic Information
SPSS explained
Routledge, 2014
2nd ed
- : hbk
- : pbk
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Note
Includes index
Previous ed. published 2004
Description and Table of Contents
Description
SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. 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.
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.
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 authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users' concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book.
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. 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.
Table of Contents
1 Introduction 2 Data Entry 3 Descriptive Statistics 4 Illustrative Statistics 5 Introduction to Statistical Testing 6 t Tests 7 Introduction to Analysis of Variance (General Linear Model) 8 One Factor Analysis of Variance 9 Two Factor Analysis of Variance 10 Multivariate Analysis of Variance 11 Nonparametric Two Sample Tests 12 Non-parametric k Sample Tests 13 Chi-square Test of Independence and Goodness of Fit 14 Linear Correlation and Regression 15 Multiple Regression and Multiple Correlation 16 Introduction to Factor Analysis 17 Using SPSS to Analyse Questionnaires: Reliability
by "Nielsen BookData"
