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Statistical methods for psychology / David C. Howell

Main Author Howell, David C. Country Estados Unidos. Edition 7th ed Publication Belmont : Wadsworth, Cengage Learning, cop. 2010 Description XXI, 768 p. : il. ; 26 cm ISBN 0-495-59785-6
CDU 159.9:519.9 519.9:159.9
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Item type Current location Call number Status Date due Barcode Item holds Course reserves
Monografia Biblioteca Geral da Universidade do Minho
BGUM 159.9:519.9 - H Available 408638

Mestrado Integrado em Psicologia Estatística Aplicada à Psicologia I 2º semestre

Mestrado Integrado em Psicologia Estatística Aplicada à Psicologia II 1º semestre

Mestrado Integrado em Psicologia Estatística Aplicada à Psicologia III 2º semestre

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Enhanced descriptions from Syndetics:

STATISTICAL METHODS FOR PSYCHOLOGY, International Edition surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this Sixth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.

International ed.

Table of contents provided by Syndetics

  • 1 Basic Concepts
  • 2 Describing and Exploring Data
  • 3 The Normal Distribution
  • 4 Sampling Distributions and Hypothesis Testing
  • 5 Basic Concepts of Probability
  • 6 Categorical Data and Chi-Square
  • 7 Hypothesis Tests Applied to Means
  • 8 Power
  • 9 Correlation and Regression
  • 10 Alternative Correlational Techniques
  • 11 Simple Analysis of Variance
  • 12 Multiple Comparisons Among Treatment Means
  • 13 Factorial Analysis of Variance
  • 14 Repeated-Measures Designs
  • 15 Multiple Regression
  • 16 Analyses Of Variance and Covariance as General Linear Models
  • 17 Log-Linear Analysis
  • 18 Resampling and Nonparametric Approaches to Data
  • Appendices
  • References
  • Answers to Selected Exercises
  • Index

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