Rachad Antonius

Interpreting Quantitative Data with IBM SPSS Statistics (eBook, PDF)

• Format: PDF

Produktbeschreibung

The second edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analysing quantitative data for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how SPSS can be used as a tool to aid analysis.

Key features of the second edition include:

- new chapters on one-way and two-way ANOVA, the Chi-square test and linear regression.

- SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice

- sets of exercises and 'real-life' examples to aid teaching and learning

- lists of key terms to aid revision and further reading to enhance students' understanding

- an improved text design making the book easier to navigate

- a companion website with answers to the labs and exercises, along with additional data sets and powerpoint slides

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 376
• Erscheinungstermin: 30. November 2012
• Englisch
• ISBN-13: 9781446271827
• Artikelnr.: 40315379

Autorenporträt

Rachad Antonius is a Full Professor of Sociology at the Universite du Quebec at Montreal. Born in Cairo, Egypt, he graduated with a B.Sc. (Hons) in Pure and Applied Mathematics from Cairo University. He completed a M.Sc. degree in Mathematics at the University of Manitoba, then a Ph.D. in Sociology at the Universite du Quebec at Montreal. He teaches quantitative methods and research methodology, and he also specializes in migration studies, and Middle-Eastern studies. He is presently the Deputy-Director of the Research Chair on Immigration, Ethnicity and Citizenship.

Inhaltsangabe

PART ONE INTRODUCTION TO QUANTITATIVE METHODS
The Basic Language of Statistics
The Research Process
PART TWO DESCRIPTIVE STATISTICS
Univariate Descriptive Statistics
Graphical Representations
PART THREE METHODOLOGICAL TOOLS
Creating New Variables with SPSS
Normal Distributions and Sampling Distributions
Sampling Designs
PART FOUR INFERENTIAL STATISTICS
Estimation
Hypothesis-Testing
PART FIVE
Correlation and the Regression Line
Two-Way Tables and the Chi-Squared Test
t-tests and ANOVA
Appendix I: Reporting a Quantitative Analysis
Appendix II: How to Create a Data File in SPSS
Appendix III: Areas Under the Normal Curve
Appendix IV: Table of Random Numbers
Glossary