Description

Book Synopsis
Power analysis is an essential tool for determining whether a statistically significant result can be expected in an experiment prior to the experiment being performed. This book provides researchers in the medical and biological sciences with an easy-to-use guide to the application of power analysis in the design of experiments.

Table of Contents
Introduction; 1. The conceptual underpinnings of statistical power; 2. Strategies for increasing statistical power; 3. General guidelines for conducting a power analysis; 4. The t-test for independent samples; 5. The paired t-test; 6. One-way between subjects analysis of variance; 7. One-way between subjects analysis of covariance; 8. One-way repeated measures analysis of variance; 9. Interaction effects for factorial analysis of variance; 10. Power analysis for more complex designs; 11. Other power analytic issues and resources for addressing them; Technical appendix; Bibliography; Index.

Power Analysis for Experimental Research

    Product form

    A Hardback by R. Barker Bausell, Yu-Fang Li

    £125.00

    Includes FREE delivery

    Order before 4pm today for delivery by Sat 12 Sep 2026.

    15 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Power Analysis for Experimental Research by R. Barker Bausell

      Book details

      Publisher Cambridge University Press
      Published 9/19/2002 12:00:00 AM
      ISBN-13 9780521809160
      978-0521809160
      ISBN-10 0521809169
      Also in:
      Biology, life sciences Environmental science, engineering and technology

      Description

      Book Synopsis
      Power analysis is an essential tool for determining whether a statistically significant result can be expected in an experiment prior to the experiment being performed. This book provides researchers in the medical and biological sciences with an easy-to-use guide to the application of power analysis in the design of experiments.

      Table of Contents
      Introduction; 1. The conceptual underpinnings of statistical power; 2. Strategies for increasing statistical power; 3. General guidelines for conducting a power analysis; 4. The t-test for independent samples; 5. The paired t-test; 6. One-way between subjects analysis of variance; 7. One-way between subjects analysis of covariance; 8. One-way repeated measures analysis of variance; 9. Interaction effects for factorial analysis of variance; 10. Power analysis for more complex designs; 11. Other power analytic issues and resources for addressing them; Technical appendix; Bibliography; Index.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account