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