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Spss 14 Made Simple by Colin D. Kinnear and Paul R. Gray (2006, Paperback)

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eBay item number:312331810750
Last updated on 22 Sep, 2021 06:51:58 AESTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
ISBN
9781841696515
EAN
9781841696515

About this product

Product Identifiers

Publisher
Taylor & Francis Group
ISBN-10
184169651X
ISBN-13
9781841696515
eBay Product ID (ePID)
16038518878

Product Key Features

Number of Pages
584 Pages
Language
English
Publication Name
SPSS 14 Made Simple
Subject
Mathematical & Statistical Software, General, Statistics, Research & Methodology
Publication Year
2006
Type
Textbook
Subject Area
Computers, Social Science, Psychology
Author
Colin D. Kinnear, Paul R. Gray
Format
Uk-B Format Paperback

Dimensions

Item Height
1.1 in
Item Weight
40.1 Oz
Item Length
9.8 in
Item Width
7 in

Additional Product Features

Intended Audience
College Audience
LCCN
2006-015581
Reviews
'As if doing a PhD wasn't hard enough work already, being an SPSS virgin, thrown in at the deep end, just topped things off. Statistics was not only daunting but hard going! I was advised to get my hands on an SPSS book. I came across this book and I can honestly say it's a beauty. It's a great book that is easy on the eye and, even better, simple to understand! It shall forever remain on my desk for quick reference!' - amazon.co.uk customer review of the previous edition
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
005.5/5
Table Of Content
Preface. Chapter 1. Introduction. 1.1 Measurements and Data. 1.2 Experimental Versus Correlational Research. 1.3 Some Statistical Terms and Concepts. 1.4 Choosing a Statistical Test: Some Guidelines. 1.5 One-Sample Tests. 1.6 Finding Latent Variables: Factor Analysis and Canonical Correlation. 1.7 A Final Comment. Chapter 2. Getting Started with SPSS 14. 2.1 Outline of an SPSS Session. 2.2 Opening SPSS. 2.3 The SPSS Data Editor. 2.4 A Statistical Analysis. 2.5 Closing SPSS. 2.6 Resuming Work on a Saved Data Set. Chapter 3. Editing and Manipulating Files. 3.1 More about the SPSS Data Editor. 3.2 More on the SPSS Viewer. 3.3 Selecting from and Manipulating Data Files. 3.4 Importing and Exporting Data. 3.5 Printing from SPSS. Chapter 4. Exploring Your Data. 4.1 Introduction. 4.2 Some Useful Menus. 4.3 Describing Data. 4.4 Manipulation of the Data Set. Chapter 5. Graphs and Charts. 5.1 Introduction. 5.2 Bar Charts. 5.3 Error Bar Charts. 5.4 Pie Charts. 5.5 Line Graphs. 5.6 Scatterplots and Dot Plots. 5.7 Using Chart Builder and Interactive. 5.8 Receiver-Operating-Characteristic (ROC) Curve. Chapter 6. Comparing Averages: Two-Sample and One-Sample Tests. 6.1 Overview. 6.2 The T Tests. 6.3 Effect Size, Power and the Number of Participants. 6.4 Other Tests For Comparing Averages. 6.5 One-Sample Tests. Chapter 7. Introduction to ANOVA: The One-Factor between Subjects Experiment. 7.1 Introduction. 7.2 How the One-Way ANOVA Works. 7.3 Further Analysis. 7.4 The One-Way ANOVA with SPSS. 7.5 Alternatives to the One-Way ANOVA. Chapter 8. Between Subjects Factorial Experiments. 8.1 Introduction. 8.2 Factorial Analysis of Variance. 8.3 Further Analysis. 8.4 The Two-Way ANOVA with SPSS. 8.5 More Complex Experiments. 8.6 A Final Word. Chapter 9. Within Subjects Experiments. 9.1 Introduction. 9.2 A One-Factor within Subjects ANOVA. 9.3 Nonparametric Tests for a One-Factor within Subjects Experiment. 9.4 The Two-Factor within Subjects ANOVA. 9.5 A Final Word. Chapter 10. Mixed Factorial Experiments. 10.1 Introduction. 10.2 The Two-Factor Mixed Factorial ANOVA. 10.3 The Three-Factor Mixed ANOVA. 10.4 Further Analysis: Simple Effects and Multiple Comparisons. 10.5 Multivariate Analysis of Variance (MANOVA). Chapter 11. Measuring Statistical Association. 11.1 Introduction. 11.2 The Pearson Correlation. 11.3 Correlation with SPSS. 11.4 Other Measures of Association. 11.5 Association in Nominal Data. 11.6 Do Doctors Agree? Cohen's Kappa. 11.7 Partial Correlation. 11.8 A Final Word. Chapter 12. Regression. 12.1 Introduction. 12.2 Simple Regression with SPSS. 12.3 Multiple Regression with SPSS. 12.4 Scatterplots and Regression Lines. 12.5 A Final Word. Chapter 13. Multiway Frequency Analysis. 13.1 Introduction. 13.2 Two Examples of a Loglinear Analysis. 13.3 A Final Word. Chapter 14. Discriminant Analysis and Logistic Regression. 14.1 Introduction. 14.2 Discriminant Analysis with SPSS. 14.3 Binary Logistic Regression. 14.4 Multinomial Logistic Regression. 14.5 A Final Word. Chapter 15. Latent Variables: Exploratory Factor Analysis and Canonical Correlation. 15.1 Introduction to Exploratory Factor Analysis. 15.2 A Factor Analysis of Data on Six Variables. 15.3 Using SPSS Syntax. 15.4 Canonical Correlation. 15.5 A Final Word. Revision Exercises. Glossary. References. Index.
Synopsis
SPSS 14 Made Simple is the latest edition of one of the most popular textbooks in its field. Each statistical technique is presented in a realistic research context and, as in previous editions, is illustrated with screen snapshots of SPSS dialogue boxes and output. The book provides guidance on the choice of statistical techniques that are right for your research question and your own data, and advises on how to report the results of statistical analysis. Coverage has been expanded to include several additional topics such as analysis of covariance, partial correlation, multivariate analysis of variance, reliability, signal detection and ROC curves, and Cohen's kappa. Other sections, such as those on power and effect size, have been fully revised and updated. There is also extensive consideration of the new and powerful graphical methods offered by SPSS 14, which are of great assistance at the exploratory stage in data analysis. The first chapter sets the scene with a survey of different research situations, key terms and advice on the choice of appropriate statistical methods. It provides clear signposts to where each procedure is described in the body of the book. The next chapters introduce you to SPSS and how to use it to get to know your data and graphical methods. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are applicable. There are chapters on t-tests, analysis of variance and covariance, correlation and regression, multiway frequency analysis, discriminant analysis, logistic regression and factor analysis. Where appropriate, details of nonparametric tests have also been included. In summary, SPSS 14 Made Simple: Shows you how to get the most out of your data Helps you to choose an appropriate statistical technique Helps you to avoid pitfalls Has plentiful screen images of menus and fully annotated dialogue boxes Shows you how to report the results of your statistical analysis Includes many exercises, both chapter-specific and more general Has a comprehensive index Has a helpful glossary., The latest edition of one of the most popular textbooks in its field - each statistical technique is presented in a realistic research context and, as in previous editions, is illustrated with screen snapshots of SPSS dialogue boxes and output., SPSS 14 Made Simpleis the latest edition of one of the most popular textbooks in its field. Each statistical technique is presented in a realistic research context and, as in previous editions, is illustrated with screen snapshots of SPSS dialogue boxes and output. The book provides guidance on the choice of statistical techniques that are right for your research question and your own data, and advises on how to report the results of statistical analysis. Coverage has been expanded to include several additional topics such as analysis of covariance, partial correlation, multivariate analysis of variance, reliability, signal detection and ROC curves, and Cohen's kappa. Other sections, such as those on power and effect size, have been fully revised and updated. There is also extensive consideration of the new and powerful graphical methods offered by SPSS 14, which are of great assistance at the exploratory stage in data analysis. The first chapter sets the scene with a survey of different research situations, key terms and advice on the choice of appropriate statistical methods. It provides clear signposts to where each procedure is described in the body of the book. The next chapters introduce you to SPSS and how to use it to get to know your data and graphical methods. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are applicable. There are chapters on t-tests, analysis of variance and covariance, correlation and regression, multiway frequency analysis, discriminant analysis, logistic regression and factor analysis. Where appropriate, details of nonparametric tests have also been included. In summary, SPSS 14 Made Simple: Shows you how to get the most out of your data Helps you to choose an appropriate statistical technique Helps you to avoid pitfalls Has plentiful screen images of menus and fully annotated dialogue boxes Shows you how to report the results of your statistical analysis Includes many exercises, both chapter-specific and more general Has a comprehensive index Has a helpful glossary.
LC Classification Number
HA32.K553 2006

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