This book is the winner of the 2007 British Psychological Society Award. '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), this 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. This text is fully compliant with the latest release of SPSS (version 13). The key updates in the new edition include: more coverage with completely new material on non-parametric statistics, loglinear analysis, effect sizes and how to report statistical analysis; even more student-friendly features, including a glossary of key statistical terms and exercises at the end of chapters for students to work through, with datasets and answers to chapter exercises on the accompanying CD-ROM; and, a larger and more easy-to-reference format: notation in each section identifies the intended level of study while the new 2-colour text design enhances the features in the book and, together with the larger format, provides extra clarity throughout. Andy Field is a Senior Lecturer in Psychology at The University of Sussex where his success in making statistics accessible was recognized with a teaching award in 2001. He is also winner of the British Psychological Society Award for Excellence in the Teaching of Psychology.

*Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.*

"Field makes concerted efforts to provide statistical tools in a very lighthearted fashion by throwing in humor, with great success... Very useful, valuable, and interesting. Highly recommended." (D.V. Chopra *Choice Magazine* 2006-02-01)

"Aimed at a wide student audience, the objectives are to explain statistics theory and practice in a clear, engaging, user-friendly way, and the book does this well. For the purist, some of the phrasing might be loose and the theory light, but the book works well as an introductory text for its intended audience." (Andrew Millard, Research Officer of Greater Glasgo NHS 2006-02-16)

*"This text is notable for the breadth of statistics covered and for seamless meshing this content with SPSS."* (Eileen Gigliotti 2007-05-31)

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 with Discriminant Analysis

Output from the Discriminant Analysis

EXPLORATORY FACTOR ANALYSIS

Factors

Discovering Factors

Research Example

Running the Analysis

Interpreting Output from SPSS

Reliability Analysis

CATEGORICAL DATA

Theory of Analyzing Categorical Data

Assumptions of the Chi-Square Test

Doing Chi-Square on SPSS

Several Categorical Variables

Log Linear Analysis

Assumptions in Loglinear Analysis

Loglinear Analysis Using SPSS

Output from Loglinear Analysis

Following Up Loglinear Analysis

Effect Sizes in Loglinear Analysis

Reporting the Results of Loglinear Analysis

*Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.*

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Editore:
Sage Publications Ltd
(2005)

ISBN 10: 0761944516
ISBN 13: 9780761944515

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**Descrizione libro **Sage Publications Ltd, 2005. Hardcover. Condizione libro: New. Codice libro della libreria P110761944516

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