New text on Power Analysis using SPSS

[chris aberson]

Dear Colleagues,
I'm pleased to bring to your attention the publication of a new book,
Applied Power Analysis for the Behavioral Sciences. I believe the text will
be of particularly interest to SPSS users as the focus is power analysis
using SPSS syntax. I have pasted an annotated table of contents and short
description below. For more information and reviewer comments, please visit
http://tinyurl.com/ls6x8c (or search Amazon or your favorite online
bookseller).

Table of Contents
1. What is Power? Why is Power Important? Includes a detailed discussion of
strategies for determining effect size for power analysis and an
introduction to performing power analysis with SPSS syntax (SPSS syntax is
provided for each topical chapter).

2. Chi-Square and Tests for Proportions. Includes Goodness of Fit, Test for
Independence, and comparing single sample and independent proportions.

3. Independent Samples and Paired t-tests. Includes adjustments for
violations of homogeneity assumptions and unequal sample sizes.

4. Correlations and Differences between Correlations. Includes power for
comparing independent and dependent correlations.

5. Between Subjects ANOVA. Addresses One Factor, multifactor, and a wide
range of multiple comparison tests.

6. Within Subjects Designs. Includes One Factor, multifactor, trend
analysis, and sphericity.

7. Mixed Model ANOVA and Multivariate ANOVA. ANOVA with between and within
factors, MANOVA, and a discussion of the impact of correlations between
dependent measures.

8. Multiple Regression. Addresses power for R-square model, R-square change,
coefficients, and comparisons between independent and dependent coefficients.

9. Covariate Analyses and Regression Interactions. Addresses several
approaches to moderated regression analysis, ANCOVA, and MANCOVA.

10. Precision Analysis for Confidence Intervals. Provides precision for r,
d, R-square, and differences between means.

11. Additional Issues and Resources. Includes sections on reporting power
analyses and reviews commercial software and freeware.

Description: This practical guide to conducting statistical power analyses
was written for students and researchers with limited quantitative
backgrounds. The book focuses on conducting power analyzes using SPSS. The
author provides detailed calculations and comments on what goes where and
how it got there. Readers will appreciate the detailed coverage of topics
that are not well described in competing books such as estimating effect
sizes, power for complex designs, as well as common research designs such as
multifactor ANOVA and multiple regression. Practical issues such as how to
increase power without increasing sample size, how to report findings and
run a sample analyses, how to derive effect size expectations and other
statistical values, and how to support null hypotheses, are addressed
throughout.

The book shows how to perform analyses using software applications rather
than complex hand calculations. To facilitate application and usability,
ready-to-use SPSS tools for conducting analyses are included. SPSS syntax to
perform most calculations is available on the book's website. Each SPSS
syntax protocol included requires only minor modification to complete the
analyses. The syntax is accompanied by detailed annotations that spell out
what readers need to change to conduct analyses. As such, the text reviews
both power analysis techniques and tools for conducting analyzes. Numerous
examples enhance accessibility by demonstrating specific issues that must be
addressed at all stages of the power analysis. Chapter summaries and key
statistics sections also aid in understanding the material.

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