Statistics for Research

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.

Informationen zum Autor George Argyrous is a senior lecturer in the School of Social Science and Policy at the University of New South Wales, Australia. Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 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 ...

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

Klappentext

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.

  Inhalt

  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