Statistics with Confidence
An Introduction for Psychologists
1st Edition
Published on 24. November 1999
464 pages
978-1-84920-273-2 (ISBN)
Description
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.
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.
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More details
Series
Edition
First Edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
ISBN-13
978-1-84920-273-2 (9781849202732)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
12/1999
1st Edition
SAGE Publications Inc
€255.52
Shipment within 15-20 days
Book
11/1999
1st Edition
SAGE Publications Inc
€90.50
Shipment within 15-20 days
Person
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, and Intergroup Aspects (1999). His other publications include more than 170 refereed journal articles and book chapters. His primary research interests are in judgment and decision making under ignorance and uncertainty, statistical methods for the social sciences, and applications of fuzzy set theory to the social sciences.
Content
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
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
