Introduction to Statistics with SPSS for Social Science

Description

Features

• Includes examples from many fields of social sciences to help users understand the range of applications of statistics in data analysis
• Guidance on what kinds of data to enter and how, the SPSS steps needed to complete your analysis and how to understand and write-up the results of the analysis
• Comprehensive discussion and user-friendly guidance on the full range of statistical techniques, when it is used, when it should not be used , the sorts of data required for the analysis and common problems that cause users difficulty
• Explains step-by-step how to enter, analyse and interpret data using SPSS
• Gives detail about what to report and how to report it
• In-text features such as ‘research design issue’, ‘calculation’ and the advice boxes help structure study into manageable chunks whilst overviews and key points help with revision
• Includes a comprehensive glossary
• Full colour, bringing illustrations and explanations to life.

Table of Contents

Part One – Descriptive Statistics.

• Chapter 1 – Why you need statistics: types of data
• Chapter 2 – Describing variables: Tables and diagrams
• Chapter 3 – Describing variables numerically: averages, variation and spread
• Chapter 4 – Shapes of distributions of scores
• Chapter 5 - Standard deviation, z-scores and standard error: the standard unit of measurement in statistics
• Chapter 6 – Relationships between two or more variables: diagrams and tables
• Chapter 7 – Correlation coefficients: Pearson correlation and Spearman’s rho
• Chapter 8 – Regression and standard error

Part Two: Comparing Two or More Variables and the Analysis of Variance.

• Chapter 9 - The analysis of a questionnaire/survey project
• Chapter 10 – The related t-test: Comparing two samples of correlated/related scores
• Chapter 11 – the unrelated t-test: comparing two samples of unrelated/uncorrelated scores
• Chapter 12 – Chi-square: Differences between samples of frequency data

Part Three: Introduction to Analysis of Variance

• Chapter 13 – Analysis of variance (ANOVA): introduction to one-way unrelated or uncorrelated ANOVA
• Chapter 14 – Two way analysis of variance for unrelated/uncorrelated scores: two studies for the price of one?
• Chapter 15 – Analysis of covariance (ANCOVA): controlling for additional variables
• Chapter 16 – Multivariate analysis of variance (MANOVA)

Part Four: More advanced correlational statistics and techniques

• Chapter 17 - Partial correlation: spurious correlation, third or confounding variables (control variables), suppressor variables
• Chapter 18 – Factor analysis: simplifying complex data
• Chapter 19 – Multiple regression and multiple correlation
• Chapter 20 – Multinomial logistic regression: Distinguishing between several different categories or groups
• Chapter 21 - Bionomial logistic regression
• Chapter 22 - Log-linear methods: The analysis of complex contingency tables

Back Cover

‘This book will be invaluable for even the most nervous student because it combines thorough statistical explanations with clear, step by step instructions for using SPSS.’ Dr Jamie Harding, Northumbria University

"At last a Social Science Stats, Methods and Analysis text, usable and useful for all levels - brilliant!" Jeanette Garwood, Leeds Metropolitan University

Introduction to Statistics with SPSS for Social Science is the complete guide to statistics and SPSS for social science students. Its range is exceptional in order to meet students' needs throughout their undergraduate degree and beyond.

By keeping to simple mathematics, a step-by-step explanation of all important statistical concepts, tests and procedures ensures that students understand the data analysis properly. The text also offers extensive coverage of statistical techniques and how SPSS can handle and manipulate all kinds of data. Just follow the screenshots and commentary in order to carry out the perfect analysis for the simplest or most complex data.

Adapted from the highly successful Howitt and Cramer textbooks, this is an essential text for all social science students of research methods and statistics from introductory through to more advanced levels.

Key features

• Includes examples from many fields of social sciences to help users understand the range of applications of statistics in data analysis
• Guidance on what kinds of data to enter and how, the SPSS steps needed to complete your analysis and how to understand and write up the results of the analysis
• Comprehensive discussion and user-friendly guidance on the full range of statistical techniques, when it is used, when it should not be used, the sorts of data required for the analysis and common problems that cause users difficulty
• Explains step-by-step how to enter, analyse and interpret data using SPSS
• Gives detail about what to report and how to report it
• In-text features such as ‘research design issue’, ‘calculation’ and the advice boxes help structure study into manageable chunks whilst overviews and key points help with revision
• Includes a comprehensive glossary
• Full colour, bringing illustrations and explanations to life.

This book is supported by a companion website featuring downloadable datasets from the book and a glossary.  Go to www.pearsoned.co.uk/norris

Gareth Norris is Lecturer in Criminology at Aberystwyth University and Faiza Qureshi is Lecturer in Criminology at City University, London.

Dennis Howitt is Reader in Psychology and Duncan Cramer is Professor of Psychology at Loughborough University.