PDQ Statistics
3rd Edition
Published on 16. December 2002
Book
Paperback/Softback
218 pages
978-1-55009-207-3 (ISBN)
Description
PDQ Statistics is an overview of all major statistical methods, giving the reader a thorough understanding of statistics and how they are used in research articles. It covers the major categories variable and descriptive statistics, parametric statistics, non-parametric statistics and multivariate statistics. The explanations are clear, succinct and loaded with practical examples.Featuring uniquely humorous examples, titled Convoluted Reasoning or Anti-intellectual Pomposity Detectors (CRAP Detectors), the text helps the reader identify statistical analyses with basic flaws in design or research.
More details
Edition
3rd edition
Language
English
Place of publication
Ontario
Canada
Target group
College/higher education
Dimensions
Height: 213 mm
Width: 125 mm
Thickness: 13 mm
Weight
227 gr
ISBN-13
978-1-55009-207-3 (9781550092073)
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
Geoffrey R. Norman | David L. Streiner
PDQ Statistics
E-Book
01/2003
3rd Edition
PMPH USA, Ltd.
€40.99
Available for download
Persons
Geoffrey Norman PhD Professor, Department of Clinical Epidemiology and Biostatics McMaster University Hamilton, Ontario
David Streiner PhD Assistant Vice President, Research Director Kunin-Lunenfeld Applied Research Unit Baycreat Centre of Geriatric Care Professor, Department of Psychiatry University of Toronto Toronto, Ontario
David Streiner PhD Assistant Vice President, Research Director Kunin-Lunenfeld Applied Research Unit Baycreat Centre of Geriatric Care Professor, Department of Psychiatry University of Toronto Toronto, Ontario
Content
Part OneVariables and Descriptive Statistics
1.Names and Numbers: Types of Variables
2.Describing DataPart TwoParametric Statistics
3.Statistical Inference
4.Comparison of Means of Two Samples: The t Test
5.Comparison Among Many Means: Analysis of Variance
6.Relationship Between Interval and Ratio Variables: Linear and Multiple Regression
7.Analysis of Covariance
8.Variations on Linear Regression: Logistic Regression, General Linear Model, and Hierarchical Linear Models
9.Time Series AnalysisPart ThreeNonParametric Statistics
10.Nonparametric Tests of Significance
11.Nonparametric Measures of Association
12.Advanced Nonparametric MethodsPart FourMultivariate Statistics
13.Introduction to Multivariate Statistics
14.Multivariate Analysis of Variance
15.Discriminant Function Analysis
16.Exploratory Factor Analysis
17.Path Analysis and Structural Equation Modeling
18.Cluster Analysis
19.Canonical Correlation
20.Reprise
21.Research Designs
1.Names and Numbers: Types of Variables
2.Describing DataPart TwoParametric Statistics
3.Statistical Inference
4.Comparison of Means of Two Samples: The t Test
5.Comparison Among Many Means: Analysis of Variance
6.Relationship Between Interval and Ratio Variables: Linear and Multiple Regression
7.Analysis of Covariance
8.Variations on Linear Regression: Logistic Regression, General Linear Model, and Hierarchical Linear Models
9.Time Series AnalysisPart ThreeNonParametric Statistics
10.Nonparametric Tests of Significance
11.Nonparametric Measures of Association
12.Advanced Nonparametric MethodsPart FourMultivariate Statistics
13.Introduction to Multivariate Statistics
14.Multivariate Analysis of Variance
15.Discriminant Function Analysis
16.Exploratory Factor Analysis
17.Path Analysis and Structural Equation Modeling
18.Cluster Analysis
19.Canonical Correlation
20.Reprise
21.Research Designs