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.
Available with Perusall-an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
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 ANALYSISVariables and Their MeasurementSetting up an SPSS Data FilePART TWO: DESCRIPTIVE STATISTICS: GRAPHS AND TABLESThe Graphical Description of DataThe tabular Description of DataUsing Tables to Investigate the Relationship between Variables: Crosstabulations Measures of Association for Crosstabulations: Nominal DataMeasures of Association for Crosstabulations: Ranked DataMultivariate Analysis of Crosstabs: ElaborationPART THREE: DESCRIPTIVE STATISTICS: NUMERICAL MEASURESMeasures of Central TendencyMeasures of DispersionThe Normal CurveCorrelation and RegressionMultiple RegressionPART FOUR: INFERENTIAL STATISTICS: TESTS FOR A MEANSampling DistributionsIntroduction to Hypothesis Testing and the One Sample z-Test for a MeanThe One Sample t-Test for a MeanInference Using Estimation and Confidence IntervalsThe Two Samples t-Test for the Equality of MeansThe f-Test for the Equality of More Than Two Means: Analysis of VarianceThe Two Dependent Samples t-Test for the Mean DifferencePART FIVE: INFERENTIAL STATISTICS: TESTS FOR FREQUENCY DISTRIBUTIONSOne Sample Tests for a Binomial DistributionOne Sample Tests for a Multinomial DistributionThe Chi-Square Test for IndependenceFrequency Tests for Two Dependent SamplesPART SIX: INFERENTIAL STATISTICS: OTHER TESTS OF SIGNIFICANCERank-Order Tests for Two or More SamplesThe t-Test for a Correlation CoefficientPART SEVEN: ADVANCED TOPICSStatistical PowerGenerating New Variables in SPSS: The Recode, Compute and Multiple Response Commands