Statistical Reasoning in Psychology and Education / Edition 3

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Overview

Develops statistical concepts, understanding of statistical logic, properties regarding statistical devices, assumptions underlying statistical tools and considers what happens when statistical theory meets real-world problems. Emphasizes the statistics of measurement and the interplay of statistics with experimental design, giving full treatment to both inferential and descriptive statistics. New to this edition are realistic examples and numerous original problems with data sets. Special boxed sections introduce students to controversial, topical and current issues such as the bootstrap, meta-analysis.
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Editorial Reviews

Booknews
A textbook primarily for students of psychology, educations, and related fields whose only mathematical background is common arithmetic, an elementary understanding of simple equations, and the ability to plug numbers into an equation and boil them down to a single numerical answer. Emphasizes the development of concepts, but also explains procedures step-by-step with examples from the behavioral sciences. Considerably revised from the 1993 edition to lower the math requirements a half-step and focus more on fundamentals. It is also shorter, though still contains more material than most instructors would try to fit into a single semester. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780471821885
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 1/28/1993
  • Edition description: Older Edition
  • Edition number: 3
  • Pages: 608
  • Product dimensions: 8.30 (w) x 10.34 (h) x 1.14 (d)

Table of Contents

Partial table of contents:

Preliminary Concepts.

Frequency Distributions, Percentiles, and Percentile Ranks.

Central Tendency.

Variability.

The Normal Curve.

Derived Scores.

Correlation.

Prediction.

Interpretive Aspects of Correlation and Regression.

Probability.

The Basis of Statistical Inference.

Further Considerations in Hypothesis Testing.

Testing Hypotheses About the Difference Between Two Independent Means.

Testing Hypotheses About the Difference Between Two Dependent Means.

Power and Measure of Effect Size.

One-Way Analysis of Variance (and Some Alternatives).

Factorial Analysis of Variance: The Two-Factor Design.

Inference About Pearson Correlation Coefficients.

Chi-Square and Inference About Frequencies.

Epilogue: The Realm of Statistics.

Appendices.

Tables.

References.

Index.

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