Statistical Reasoning in Psychology and Education / Edition 2

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Overview

Provides students of psychology, education, and behavioral science with an introduction to statistics which emphasizes the relationship between statistical theory and the reality of research. Fosters an understanding of fundamental properties and uses of elementary techniques, appealing to intuitive understanding and common experience. Develops the merit of a statistical approach on logical, rather than mathematically sophisticated, grounds.
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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: 9780471608288
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 3/15/1978
  • Edition description: 2d ed
  • Edition number: 2
  • Pages: 576

Table of Contents

Introduction.

Preliminary Concepts.

Frequency Distributions.

Graphic Representation.

Central Tendency.

Variability.

The Normal Curve.

Derived Scores.

Correlation.

Factors Influencing the Correlation Coefficient.

Regression and Prediction.

Interpretative Aspects of Correlation and Regression.

The Basis of Statistical Inference.

The Basis of Statistical Inference: Further Considerations.

Testing Hypotheses About Single Means: Normal Curve Model.

Further Considerations in Hypotheses Testing.

Testing Hypotheses About Two Means: Normal Curve Model.

Estimation of u and ux-uy Inference About Means and the t Distribution.

Inference About Pearson Correlation Coefficients.

Some Aspects of Experimental Design.

Elementary Analysis of Variance.

Inference About Frequencies.

Some Order Statistics (Mostly).

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