Talking about Statistics A Psychologist's Guide to Design and Analysis

by Everitt, Brian S.; Hay, Dale F.

• ISBN13: 9780340529218
• ISBN10: 0340529210
• Format: Paperback
• Copyright: 1992-08-06
• Publisher: Hodder Education Publishers

Summary

Collaborations between statisticians and behavioral scientists can benefit both the design and analysis of a practical research project. In this refreshing book, Brian Everitt and Dale Hay employ a case-oriented approach to demonstrate how such a collaboration works. A case-study drawn from child psychiatry is used to show the statistical techniques available to tackle a range of questions and data.

Table of Contents

Preface	v
Why Can't a Psychologist Be More Like a Statistician?	1	(12)
Introduction	1	(1)
A Little History	2	(8)
Plan of the Book	10	(3)
Examining Some Pilot Data: A Review of Basic Descriptive Statistics	13	(18)
Introduction	13	(2)
Checking the ``Shape'' of Individual Variables: Stem-and-leaf Displays	15	(2)
Numerical and Graphical Summaries of a Data Set	17	(4)
Transforming Data	21	(10)
Designing and Planning a Study: Hypothesis Testing, Experimental Design and Power Calculations	31	(12)
Introduction	31	(1)
Developing Testable Hypotheses	32	(1)
Experimentation, Randomisation and Control Procedures	33	(3)
Estimating the Number of Subjects Needed in a Study	36	(3)
Summary of the Experimental Hypotheses and Design	39	(4)
Measurement, Observer Bias and Reliability	43	(12)
Introduction	43	(1)
Sources of Information and Scales of Measurement	44	(3)
Reliability Measures for Categorical Data	47	(3)
Measuring Reliability of Quantitative Variables	50	(1)
Measure of Agreement for Ranked Data	51	(4)
Comparing two groups: the t-test, Mann---Whitney U and Hotelling's T2	55	(14)
Introduction	55	(1)
The Independent Means t-test	55	(3)
Confidence Intervals	58	(3)
Hotelling's T2	61	(8)
Comparing Two Groups on One or More Dimensions: Univariate and Multivariate Analysis of Variance; Analysis of Covariance	69	(16)
Introduction	69	(1)
One-way Analysis of Variance---Comparing More Than Two Groups	69	(4)
Two-Way Designs	73	(4)
Multivariate Analysis of Variance	77	(4)
Analysis of Covariance	81	(4)
The Analysis of Repeated Measures Designs	85	(14)
Introduction	85	(1)
Repeated Measures Analysis of Variance	86	(4)
Contrasts between the Repeated Measures	90	(9)
Comparing Groups with Respect to Categorical Outcome Measures: Logistic Regression and Survival Analysis	99	(12)
Introduction	99	(1)
Logistic Regression	100	(8)
Survival Analysis	108	(3)
Fitting Models of Relationships amongst Variables	111	(10)
Introduction	111	(1)
Factor Analysis	112	(4)
Modelling Latent Variables	116	(5)
References	121	(4)
Appendix	125	(6)
Data Sets	126	(5)
Index	131