Statistics for Research

With a Guide to SPSS
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ISBN-13:
9781849205955
Erscheinungsdatum:
13.01.2011
Seiten:
608
Autor:
George Argyrous
Gewicht:
1079 g
Format:
233x187x38 mm
Sprache:
Englisch
Beschreibung:

Argyrous, GeorgeGeorge 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
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 .
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