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Statistics with Confidence
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Statistics with Confidence
An Introduction for Psychologists

First Edition


464 pages | SAGE Publications Ltd
This textbook offers an accessible and comprehensive introduction to statistics for all undergraduate psychology students, but particularly those in their second and third years who have already covered an initial introductory course. It covers all of the key areas in quantitative methods including sampling, significance tests, regression, and multivariate techniques and incorporates a range of exercises and problems at the end of each chapter for the student to follow.

The free CD-ROM with tutorial modules complements and enhances the exercises in the text, offers scope for distance learning, and makes both the traditional and non-traditional approaches much more accessible.

Key points of the book are: an emphasis on measurement, data summaries and graphs; a clear explanation of statistical inference using sampling distributions and confidence intervals, making significance tests much easier to understand; and help for students to understand and judge the use of particular tests in the research context beyond simple recipe following.

 
Uncertainty and Psychological Research
 
Variables and Measurement
 
Exploring, Describing, Displaying and Summarizing
 
Research Design and Probability
 
Sampling Distributions and Confidence Intervals
 
Statistical Models and Significance Tests
 
Predicting a Quantitative Variable from a Categorical Variable
The t Test and Analysis of Variance

 
 
Quantitative Predictors
Regression and Correlation

 
 
Predicting Categorical Variables
Contingency Tables and Chi-Square

 
 
More Than Two Variables
A Peek at Multivariate Analysis

 
 
Putting Statistics into Perspective

A good coverage of key statistical concepts that are necessary for undergraduate psychology student. This is written with a refreshing emphasis on the necessity of the 'new statistics' something that is not covered in many introductory statistical textbooks in more than a cursory way. This is a wonderful book for anyone wishing to approach the fundamentals of statistical techniques while providing themselves a solid grounding in confidence intervals and their benefits.

Mr David Saunders
Division of Psychology, Northampton Univ.
June 3, 2014

Michael Smithson

Michael Smithson is a Professor in the Research School of Psychology at The Australian National University in Canberra, and received his PhD from the University of Oregon. He is the author of Confidence Intervals (2003), Statistics with Confidence (2000), Ignorance and Uncertainty (1989), and Fuzzy Set Analysis for the Behavioral and Social Sciences (1987), co-author of Fuzzy Set Theory: Applications in the Social Sciences (2006) and Generalized Linear Models for Categorical and Limited Dependent Variables (2014), and co-editor of Uncertainty and Risk: Multidisciplinary Perspectives (2008) and Resolving Social Dilemmas: Dynamic, Structural... More About Author

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