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Interpreting Quantitative Data with IBM SPSS Statistics
Second Edition
- Rachad Antonius - University of Quebec in Montreal, Canada
Additional resources:
December 2012 | 376 pages | SAGE Publications Ltd
The Second Edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics 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 IBM SPSS Statistics can be used as a tool to aid analysis.
Key Features of the Second Edition:
Key Features of the Second Edition:
- New chapters on ANOVA Factor Analysis and General Multilinear Model
- IBM SPSS Statistics lab sessions following each chapter which demonstrate how IBM SPSS Statistics can be used in practice
- Sets of exercises and ‘real-life’ examples to aid teaching and learning
- Lists of key terms and further reading to enhance students’ understanding
- An improved text design making the book easier to navigate
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
Supplements
We are emphasising triangulated approach to research in our department. This book will provide a hands-on approach to our students who may want to consider quantitative research as a part of their triangulated studies - Dr S.E. Usadolo
Department of Communication, University of Fort Hare
December 14, 2012