Includes bibliographical references (p. 87-89).

Basic Experimental Designs -- Basic Research Methods -- The Experimental Method -- The Method of Observation -- Experimental Design Considerations -- Within-Subject Manipulations -- Between-Subjects Manipulations -- Specific Experimental Designs -- Two Independent Random Groups -- More Than Two Independent Random Groups -- Matched Pairs -- Factorial Designs -- Tests of Significance -- Tests of Statistical Significance: An Overview -- Method of Indirect Proof or Indirect Support -- Statistical Tests for Two Means: The t Test -- Statistical Tests for More Than Two-Means: Analysis of Variance -- Statistical Tests for Frequency Distributions: x[superscript 2] -- Statistical Tests for Relationships: Correlation and Regression -- Correlation -- Regression -- Multiple Regression -- Matching Research Designs and Statistical Tests -- Response Measures and Statistical Tests -- Comparison of Two Sample Means -- t-Test for Independent Groups -- t-Test for Repeated Measures or Matched Pairs -- Comparison of Two Samples With Nonparametric Tests -- Comparison of More Than Two Sample Means -- One-Way Analysis of Variance -- Multifactor Analysis of Variance -- Comparisons Involving Frequency or "Count" Data -- Analyzing Relationships Between Naturally Occurring Variables -- Correlation -- Multiple Regression -- Random Numbers -- Distribution of t -- Upper Percentage Points of F Distribution -- Distribution of x[superscript 2].

This handy guide gives the novice researcher a clear description of the standard tools of the trade. Unlike some texts which focus on either design or statistics, this book covers the fundamentals of design, together with experiments and observational methods. There is an exposition of major tests of significance with formulas plus easy verbal interpretations, and "boxes" embedded in the text contain prototypic applications.