Discovering Statistics Using SPSS for Windows

ISBN-10: 0761944524

ISBN-13: 9780761944522

Edition: 2nd 2005 (Revised)

Authors: Andy P. Field

List price: $74.95
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WINNER OF THE 2007 BRITISH PSYCHOLOGICAL SOCIETY BOOK AWARD 2007 `It is noteworthy that after I used some of the illustrations and mentioned the book in class, most students went and bought a copy. Their final papers were heavily "Field-referenced"! That is the best endorsement one can give to a text' - Journal of Advanced Nursing `The wide range of statistical techniques covered combined with good accompanying background explanations, communicated in a relaxed, affable style, make this book a useful addition to the bookshelves of both practitioners and teachers of statistics alike in the social sciences' - Peter Watson, MRC Cognition and Brain Sciences Unit, Cambridge and Chair of ASSESS, Independent European Group of SPSS Users `The Second Edition of Andy Field's Discovering Statistics Using SPSS is an excellent book and a valuable addition to the teaching of statistics in the behavioral sciences. The title of the book accurately reflects the approach taken. This is not simply a primer on how to use SPSS, but is a very good statistics text using SPSS as a vehicle for illustrating and expanding on the statistical content of the book. At the same time it also serves as a manual for SPSS, and has taught me things that I had not known about the software. One advantage of the text is that it is not tied specifically to the latest version of SPSS. Although the examples use version 12.0, there are many references to the difference the students will find if they are using an earlier version. A good example of how the text is structured can be seen in Chapters 8 and 9. Chapter 8 provides an introduction to the analysis of variance, and roughly the first 40 pages are devoted to statistical issues. Only after that introduction does the author move to a discussion of using SPSS to run the analyses. Chapter 9 deals with the analysis of covariance, and here the author moves almost immediately to SPSS printout, having laid most of the groundwork in the previous chapter. I find this flexible approach to the blending of content and software to be an effective way of teaching the material. It is impossible to review this book without commenting on Andy's particular style. I enjoyed it immensely and think that it would appeal to both students and their instructors. It is refreshing to see someone who doesn't take himself too seriously' - David C Howell, Professor Emeritus, University of Vermont `The new edition of Field's textbook confirms its place as the best statistics text for undergraduate social science students. It provides support for those less confident about statistical analysis whilst having sufficient depth that it will still be valuable to more mathematically experienced people. There is a focus throughout on the practical aspects of data analysis and interpretation whilst at the same time emphasizing the importance of rigour and a good understating of theory essential reading' - Dr Ian Walker, Department of Psychology, University of Bath `Very useful, valuable and interesting. Summing up: Highly recommended' - CHOICE, Current Reviews for Academic Librarians This new edition of Field's textbook provides students of statistical methods with everything they need to understand, use and report statistics - at every level. Written in Andy Field's vivid and entertaining style, and furnished with playful examples from everyday student life (among other places), the book forms an accessible gateway into the often intimidating world of statistics and a unique opportunity for students to ground their knowledge of statistics through the use of SPSS. The text is fully
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Book details

List price: $74.95
Edition: 2nd
Copyright year: 2005
Publisher: SAGE Publications, Incorporated
Publication date: 4/30/2005
Binding: Paperback
Pages: 816
Size: 7.50" wide x 9.25" long x 2.00" tall
Weight: 1.012
Language: English

Everything you Wanted to Know About Statistics (Well, Sort of)
Building Statistical Models
Populations and Samples
Simple Statistical Models
Frequency Distributions
Is My Sample Representative of the Population?
Linear Models
How Can We Tell If Our Model Represents the Real World?
The SPSS Environment
Versions of SPSS Getting Started
The Data Editor
The Output Viewer
The Syntax Window Saving Files Retrieving a File
Exploring Data
Parametric Data
Graphing and Screening Data
Exploring Groups of Data
Testing Whether a Distribution is Normal Testing for Homogeneity of Variance Graphing Means
How Do We Measure Relationships?
Data Entry for Correlation Analysis
Using SPSS Graphing Relationships
The Scatterplot Bivariate Correlation
Partial Correlation
How To Report Correlation Coefficients
An Introduction to Regression
Doing Simple Regression on SPSS
Interpreting a Simple Regression Multiple Regression
The Basics How Accurate Is My Regression Model?
How To Do Multiple Regression Using SPSS
Interpreting Multiple Regression
How To Report Multiple Regression Categorical Predictors and Multiple Regression
Logistic Regression
Background to Logistic Regression
What Are the Principles behind Logistic Regression?
Running the Analysis A Research Example Interpreting Logistic Regression
How To Report Logistic Regression Another Example
Testing for Multicollinearity Things That Can Go Wrong
Comparing Two Means
Revision of Experimental Research
Inputting Data and Displaying Means with Error Bar Charts
Testing Differences between Means
The t-Test
The Dependent t-Test
The Independent t-Test Between Groups or Repeated Measures?
The t-Test as a General Linear Model
What If Our Data Are Not Normally Distributed?
Comparing Several Means: Anova (GLM 1)
The Theory behind ANOVA
Running One-Way ANOVA on SPSS
Output from One-Way ANOVA
Calculating the Effect Size Reporting Results from One-Way Independent
ANOVA Violations of Assumptions in One-Way Independent
ANOVA Analysis of Covariance, ANCOVA (GLM 2)
Conducting ANCOVA on SPSS Interpreting the Output from ANCOVA
ANCOVA Run as a Multiple Regression
Additional Assumptions in ANCOVA
Calculating the Effect Size Reporting Results
Factorial ANOVA (GLM 3)
Theory of Factorial ANOVA (Between Groups)
Factorial ANOVA Using SPSS Output from Factorial
ANOVA Interpreting Interaction Graphs
Calculating Effect Sizes Reporting the Results of Two-Way ANOVA
Factorial ANOVA as Regression
Repeated-Measures Designs (GLM 4)
Introduction to Repeated-Measures
Designs Theory of One-Way Repeated-Measures
ANOVA One-Way Repeated-Measures
ANOVA Using SPSS Output for One-Way Repeated-Measures
ANOVA Effect Sizes for Repeated-Measures
ANOVA Reporting One-Way Repeated-Measures
ANOVA Repeated-Measures with Several Independent Variables
Output for Factorial Repeated-Measures
ANOVA Effect Sizes for Factorial Repeated-Measures
ANOVA Reporting the Results from Factorial Repeated-Measures
ANOVA Mixed Design ANOVA (GLM 5)
Mixed ANOVA on SPSS Output for Mixed Factorial
ANOVA Main Analysis Calculating Effect Sizes
Reporting the Results of Mixed
ANOVA Non-Parametric Tests
Comparing Two Independent Conditions
The Wilcoxon Rank-Sum
Test and Mann-Whitney
Test Comparing Two Related Conditions
The Wilcoxon Signed-Rank
Test Differences between Several Independent Groups
The Kruskal-Wallis Test
Differences between Several Related Groups Friedman's
ANOVA Multivariate Analysis of Variance (MANOVA)
Introduction Similarities and Differences to ANOVA
Theory of MANOVA Assumptions of MANOVA
MANOVA on SPSS Output from MANOVA Following Up MANOVA wi
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