Statistics for Research

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

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 (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.

Available with Perusall - an eBook that makes it easier to prepare for class
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The clearest and most straightforward explanations of statistical concepts are combined with lots of practical examples from a variety of disciplines, now with a brand new website with additional resources for students and lecturers.

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