Talking about statistics : a psychologist's guide to data analysis / Brian S. Everitt and Dale F. Hay.
By: Everitt, Brian.
Contributor(s): Hay, Dale F.
Material type: BookPublisher: London : New York : E. Arnold ; Halsted Press, 1992Description: viii, 130 p. : ill ; 24 cm.ISBN: 0340529210; 0470219564.Subject(s): Psychometrics | Psychology -- Research -- MethodologyDDC classification: 519.5Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
General Lending | MTU Bishopstown Library Lending | 519.5 (Browse shelf(Opens below)) | 1 | Available | 00010158 |
Enhanced descriptions from Syndetics:
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.
Includes bibliographical references (pages 121-122) and index.
Why can't a psychologist be more like a statistian? -- Examining some pilot data: a review of basic descriptive statistics -- Designing and planning a study: Hypotheses testing, experimental design and power calculations -- Measurement, observer bias and reliability -- Comparing two groups: the t-test, Mann Whitney U and Hotelling's T2 -- Comparing two groups on one or more dimensions: Univerate and multivariate analysis of variance: Analysis of covariance -- The analysis of repeated measures designs -- Comparing groups with respect to categorial outcome measures: Logistic regression and survival analysis -- Fitting models of relationships amongst variables.
Table of contents provided by Syndetics
- Preface
- 1 Why Can't a Psychologist Be More Like a Statistician?
- 2 Examining Some Pilot Data: A Review of Basic Descriptive Statistics
- 3 Designing and Planning a Study: Hypothesis Testing, Experimental Design and Power Calculations
- 4 Measurement, Observer Bias and Reliability
- 5 Comparing two groups: the t-test, Mann-Whitney U and Hotelling's T2
- 6 Comparing Two Groups on One or More Dimensions: Univariate and Multivariate Analysis of Variance; Analysis of Covariance
- 7 The Analysis of Repeated Measures Designs
- 8 Comparing Groups with Respect to Categorical Outcome Measures: Logistic Regression and Survival Analysis
- 9 Fitting Models of Relationships amongst Variables
- References
- Appendix
- Index