MTU Cork Library Catalogue

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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: materialTypeLabelBookPublisher: London : New York : E. Arnold ; Halsted Press, 1992Description: viii, 130 p. : ill ; 24 cm.ISBN: 0340529210; 0470219564.Subject(s): Psychometrics | Psychology -- Research -- MethodologyDDC classification: 519.5
Contents:
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.
Holdings
Item 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
Total holds: 0

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

Author notes provided by Syndetics

Dale F. Hay, Senior Lecturer, both at Institute of Psychiatry, London.

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