Statistics for Research

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

George Argyrous is a senior lecturer in the School of Social Science and Policy at the University of New South Wales, Australia.

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 WellensUniversity 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 StrandUniversity 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