ABSTRACT

The goal of Norman H. Anderson's new book is to help students develop skills of scientific inference. To accomplish this he organized the book around the "Experimental Pyramid"--six levels that represent a hierarchy of considerations in empirical investigation--conceptual framework, phenomena, behavior, measurement, design, and statistical inference. To facilitate conceptual and empirical understanding, Anderson de-emphasizes computational formulas and null hypothesis testing. Other features include:
*emphasis on visual inspection as a basic skill in experimental analysis to help students develop an intuitive appreciation of data patterns;
*exercises that emphasize development of conceptual and empirical application of methods of design and analysis and de-emphasize formulas and calculations; and
*heavier emphasis on confidence intervals than significance tests.

The book is intended for use in graduate-level experimental design/research methods or statistics courses in psychology, education, and other applied social sciences, as well as a professional resource for active researchers. The first 12 chapters present the core concepts graduate students must understand. The next nine chapters serve as a reference handbook by focusing on specialized topics with a minimum of technicalities.

chapter 1|28 pages

Scientific Inference

chapter 2|27 pages

Statistical Inference *

chapter 3|31 pages

Elements of Analysis of Variance I

chapter 4|27 pages

Elements of Analysis of Variance II

chapter 5|39 pages

Factorial Design

chapter 6|30 pages

Repeated Measures Design

chapter 7|30 pages

Understanding Interactions

chapter 8|40 pages

Confounding

chapter 9|27 pages

Regression and Correlation

chapter 10|19 pages

Frequency Data and Chi-Square

chapter 11|43 pages

Single Subject Design

chapter 12|31 pages

Nonnormal Data and Unequal Variance

chapter 13|17 pages

Analysis of Covariance

chapter 14|41 pages

Design Topics I

chapter 15|41 pages

Design Topics II

chapter 16|39 pages

Multiple Regression

chapter 17|25 pages

Multiple Comparisons

chapter 18|51 pages

Sundry Topics

chapter 19|44 pages

Foundations of Statistics

chapter 20|42 pages

Mathematical Models for Process Analysis

chapter 21|62 pages

Toward Unified Theory *

chapter 22|14 pages

Principles and Tactics of Writing Papers

chapter 23|18 pages

Lifelong Learning

chapter |26 pages

Basic Statistical Concepts