SPSS Explained

ISBN-10: 0415616026
ISBN-13: 9780415616027
Edition: 2nd 2014 (Revised)
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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  More...

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Book details

Edition: 2nd
Copyright year: 2014
Publisher: Taylor & Francis Group
Publication date: 4/30/2014
Binding: Paperback
Pages: 372
Size: 7.25" wide x 9.50" long x 0.75" tall
Weight: 2.068
Language: English

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 e~essentiale(tm) and e~advancede(tm) sections to suit readers at different levelsfrequently 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 regressioncoverage 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 userse(tm) 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.

Introduction
Data Entry
Descriptive Statistics
Illustrative Statistics
Introduction to Statistical Testing
t Tests
Introduction to Analysis of Variance (General Linear Model)
One Factor Analysis of Variance
Two Factor Analysis of Variance
Multivariate Analysis of Variance
Nonparametric Two Sample Tests
Non-parametric k Sample Tests
Chi-square Test of Independence and Goodness of Fit
Linear Correlation and Regression
Multiple Regression and Multiple Correlation
Introduction to Factor Analysis
Using SPSS to Analyse Questionnaires: Reliability

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