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Statistics for Research
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Statistics for Research
With a Guide to SPSS

Third Edition
Additional resources:


January 2011 | 608 pages | SAGE Publications Ltd

This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you!

The new edition features:

- Clear explanations of all the main techniques of statistical analysis

- A brand new student-friendly, easy-to-navigate design

- Even more step-by-step screenshots of SPSS commands and outputs

- An extensive glossary of terms, ideal for those new to statistics

- End of chapter exercises to help you put your learning into practice

- A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes.

This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.

 
PART ONE: AN INTRODUCTION TO STATISTICAL ANALYSIS
 
Variables and Their Measurement
 
Setting up an SPSS Data File
 
PART TWO: DESCRIPTIVE STATISTICS: GRAPHS AND TABLES
 
The Graphical Description of Data
 
The tabular Description of Data
 
Using Tables to Investigate the Relationship between Variables: Crosstabulations
 
Measures of Association for Crosstabulations: Nominal Data
 
Measures of Association for Crosstabulations: Ranked Data
 
Multivariate Analysis of Crosstabs: Elaboration
 
PART THREE: DESCRIPTIVE STATISTICS: NUMERICAL MEASURES
 
Measures of Central Tendency
 
Measures of Dispersion
 
The Normal Curve
 
Correlation and Regression
 
Multiple Regression
 
PART FOUR: INFERENTIAL STATISTICS: TESTS FOR A MEAN
 
Sampling Distributions
 
Introduction to Hypothesis Testing and the One Sample z-Test for a Mean
 
The One Sample t-Test for a Mean
 
Inference Using Estimation and Confidence Intervals
 
The Two Samples t-Test for the Equality of Means
 
The f-Test for the Equality of More Than Two Means: Analysis of Variance
 
The Two Dependent Samples t-Test for the Mean Difference
 
PART FIVE: INFERENTIAL STATISTICS: TESTS FOR FREQUENCY DISTRIBUTIONS
 
One Sample Tests for a Binomial Distribution
 
One Sample Tests for a Multinomial Distribution
 
The Chi-Square Test for Independence
 
Frequency Tests for Two Dependent Samples
 
PART SIX: INFERENTIAL STATISTICS: OTHER TESTS OF SIGNIFICANCE
 
Rank-Order Tests for Two or More Samples
 
The t-Test for a Correlation Coefficient
 
PART SEVEN: ADVANCED TOPICS
 
Statistical Power
 
Generating New Variables in SPSS: The Recode, Compute and Multiple Response Commands

Supplements

George Argyrous’ book is an invaluable resource to students taking introductory methods courses where SPSS is used, and I had much success and positive feedback when I included it on the syllabi of my quantitative methods and political analysis courses. It is a strong text for instructors who need an engaging textbook that covers the topics that constitute the core elements of undergraduate and postgraduate quantitative methods courses in the social sciences. A particular strength of this book is that it combines readable text on the basics of research design and quantitative methods with clear instructions on how to implement the material using the SPSS software program
Thomas J. Scotto, Lecturer, Department of Government, University of Essex


Statistics for Research: with a Guide to SPSS explains how to use some of the most common statistical tests using example relevant to the types of analyses undertaken by a wide range of social science researchers. The accompanying explanations of how to both undertake the tests using SPSS, and report the results appropriately, make the guide a comprehensive and ideal companion for researchers particularly those who are new to, or use quantitative methods infrequently

Jane Wellens
University of Nottingham


The book is an excellent general statistics text, with the key advantage of using SPSS to illustrate the concepts. The book would be a good text for undergraduate students on a range of social science courses or postgraduate students taking Foundation Research Methods

Steve Strand
University of Warwick, British Journal of Educational Psychology


This is a book that I wish I'd had on two occasions in my life; the first when I started statistics as a psychology undergraduate and the second, many years later, when I embarked upon a research degree in councelling and psychology. The author provides a logical introduction to applied statistics and research methodology, clearly and carefully linking the two. After demonstrating each relevant statistical technique 'by hand', using well-chosen examples from both the health and the social sciences, he then demonstrates how it can be carried out using SPSS... The book is accompanied by a companion website which provides valuable additional material both for the student and the lecturer. I can thoroughly recommend this book.

Clive Sims
Methodspace


Quality text that provides students with a useful introduction and explanatory overview of statistical analysis & SPSS. Will be advising my students as a recommended text.

Mr Philip Russell
Department of Humanities, Tallaght Institute of Technology
May 4, 2016

The book covers most statistical concepts for beginners well. The examples and illustrations are good an easy to follow. However, it would a good self teaching tool if it had a a copy of the book as a CD +worked examples in CD as well for class illustration purposes.

Mr Albert Chuma
Mathematics, South Cheshire College
March 10, 2015

Very good book, although I liked the previous edition better!

Dr Dick Heinhuis
Informatics Institute, University of Amsterdam
February 20, 2015

Its a fantastic book for those who are getting accustomed to the SPSS software. Easy reading and understanding. Helps one to move step by step into statistical analysis.

Dr Simy Mathew
Growth & Development, College of Dentistry
January 25, 2015

Not sociological enough

Ed Collom
Sociology Dept, Univ Of So Maine-Portland
February 3, 2014

Excellent!

Professor Johan Knoetze
Science, Mathematics and Technology Education, University of Pretoria
January 22, 2014

A very clear and helpful guide to statistics

Miss Jannine Van de Maat
Department of Political Science, Leiden University
September 4, 2013

A good introductory book!

Dr Olatunde Aremu
School of Health and Bioscience, University of East London
September 4, 2013

Co Instructor chose a different text

Dr Cheryl Jones
Community Hlth Preven Med Dept, Morehouse School of Medicine
June 3, 2013
Key features

NEW TO THIS EDITION:

  • Clear explanations of all the main techniques of statistical analysis
  • A brand new student-friendly, easy-to-navigate design
  • Even more step-by-step screenshots of SPSS commands and outputs
  • An extensive glossary of terms, ideal for those new to statistics
  • End of chapter exercises to help you put your learning into practice
  • A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and Blackboard quizzes

The new edition features:

  • Clear explanations of all the main techniques of statistical analysis

  • A brand new student-friendly, easy-to-navigate design

  • Even more step-by-step screenshots of SPSS commands and outputs

  • An extensive glossary of terms, ideal for those new to statistics

  • End of chapter exercises to help you put your learning into practice

  • A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes.