MTU Cork Library Catalogue

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Reading statistics and research / Schuyler W. Huck, William H. Cormier.

By: Huck, Schuyler W.
Contributor(s): Cormier, William H. (William Henry), 1933-.
Material type: materialTypeLabelBookPublisher: New York : HarperCollins, 1996Edition: 2nd ed.Description: xx, 652 p. : ill. ; 24 cm.ISBN: 0065006062.Subject(s): Statistics | Research | Experimental designDDC classification: 001.422
Contents:
The typical format of Journal Articles -- Descriptive Statistics: The Univariate Case -- Bivariate Correlations -- Reliability and Validity -- Foundations of Inferential Statistics -- Estimation -- Hypothesis Testing - Part I -- Hypothesis Testing - Part II -- Statistical Testing and the Hybrid approach to testing Ho -- Statistical Inferences Concerning Bivariate Correlation Coefficients -- Inferences concerning one or two sample means -- Tests on three or more sample means using one-way ANOVA -- Post Hoc and Planned Comparisons -- Two-Way analyses of variance -- Three-way analyses of variance -- Fully repeated measures analyses of variance -- Mixed ANOVAs -- The analysis of covariance -- Inferences on Percentages, Proportions and Frequencies -- Statistical Tests on Ranks (Nonparametric Tests) -- Principles of Research Design.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 001.422 (Browse shelf(Opens below)) 1 Available 00009850
Total holds: 0

Enhanced descriptions from Syndetics:

Designed for beginning statistics and research courses, this text explains how consumers of research can read, understand and critically evaluate the statistical information contained in technical research reports. The major goals are: to help readers decipher the statistical terminology and notations used by authors of technical reports; and to encourage critical evaluation of the way in which any study is executed - focusing on how data is collected, analyzed and interpreted - so as to determine whether the researcher's conclusions and claims are justified. To achieve this two-fold objective, excerpts from over 500 recent research articles, including tables, figures, and portions of textual material are presented and discussed. Many of the excerpts illustrate conceptual or procedural mistakes that are often made by researchers. This second edition features up-to-date research articles, more detailed coverage of many key topics, including hypothesis testing and examples drawn from a variety of disciplines.

Includes bibliographical references (pages 641-642) and index.

The typical format of Journal Articles -- Descriptive Statistics: The Univariate Case -- Bivariate Correlations -- Reliability and Validity -- Foundations of Inferential Statistics -- Estimation -- Hypothesis Testing - Part I -- Hypothesis Testing - Part II -- Statistical Testing and the Hybrid approach to testing Ho -- Statistical Inferences Concerning Bivariate Correlation Coefficients -- Inferences concerning one or two sample means -- Tests on three or more sample means using one-way ANOVA -- Post Hoc and Planned Comparisons -- Two-Way analyses of variance -- Three-way analyses of variance -- Fully repeated measures analyses of variance -- Mixed ANOVAs -- The analysis of covariance -- Inferences on Percentages, Proportions and Frequencies -- Statistical Tests on Ranks (Nonparametric Tests) -- Principles of Research Design.

Table of contents provided by Syndetics

  • Preface
  • Acknowledgements
  • 1 The Typical Format of Journal Articles
  • 2 Descriptive Statistics: The Univariate Case
  • 3 The Bivariate Case
  • 4 Reliability and Validity
  • 5 Foundations of Inferential Statistics
  • 6 Estimation
  • 7 Hypothesis Testing
  • 8 Effect Size, Power, Cls, and Bonoferroni
  • 9 Statistical Inferences Concerning Bivariate Correlation Coefficients
  • 10 Inferences Concerning One or Two Means
  • 11 Tests on Three or More Means Using a One-Way ANOVA
  • 12 Post Hoc and Planned Comparisons
  • 13 Two-Way Analyses of Variance
  • 14 Analyses of Variance With Repeated Measures
  • 15 The Analysis of Covariance
  • 16 Bivariate, Multiple and Logistic Regression
  • 17 Inferences on Percentages, Proportions, and Frequencies
  • 18 Statistical Tests on Ranks (Non-Parametric Tests)
  • Epilogue
  • Credits
  • Index

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