Discovering Statistics Using SPSS for Windows

Name: Discovering Statistics Using SPSS for Windows
Price: 4.16 USD
Availability: InStock
ISBN: 9780761944522

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

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: 7.32" wide x 9.13" long x 1.80" tall
Weight: 3.190
Language: English

Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 70 research papers, 27 book chapters, and 17 books mostly on child emotional development and statistics. He is the founding editor of the Journal of Experimental Psychopathology and has been an associate editor and editorial board member for the British Journal of Mathematical and Statistical Psychology, Cognition and Emotion, Clinical Child and Family Psychology Review and Research Synthesis Methods. His ability to make statistics accessible and fun has been recognized with local and national teaching awards (University of Sussex, 2001; the British Psychological Society, 2007), a prestigious…



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


Correlation


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


regression


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)


What Is ANCOVA?


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