In textbooks and courses in statistics, substantive and measurement issues are rarely, if at all, considered. Similarly, textbooks and courses in measurement virtually ignore design and analytic questions, and research design textbooks and courses pay little attention to analytic and measurement issues. This fragmentary approach fosters a lack of appreciation of the interrelations and interdependencies among the various aspects of the research endeavor. Pedhazur and Schmelkin's goal is to help readers become proficient in these aspects of research and their interrelationships, and to use that information in a more integrated manner. The authors offer extensive commentaries on inputs and outputs of computer programs in the context of the topics presented. Both the organization of the book and the style of presentation allow for much flexibility in choice, sequence, and degree of sophistication with which topics are dealt.

chapter 1|14 pages


part |1 pages


chapter 2|15 pages

Measurement and Scientific Inquiry

chapter 3|22 pages

Criterion-Related Validation

chapter 4|29 pages

Construct Validation

chapter 5|37 pages


part |1 pages


chapter 7|17 pages

Science and Scientific Inquiry

chapter 8|16 pages

Definitions and Variables

chapter 9|31 pages

Theories, Problems, and Hypotheses

chapter 11|16 pages

Artifacts and Pitfalls in Research

chapter 12|27 pages

Experimental Designs

chapter 13|27 pages

Quasi-Experimental Designs

chapter 14|14 pages

Nonexperimental Designs

chapter 15|24 pages

Introduction to Sampling

part |1 pages


chapter 16|24 pages

Computers and Computer Programs

chapter 17|47 pages

Simple Regression Analysis

chapter 18|51 pages

Multiple Regression Analysis

chapter 19|40 pages

A Categorical Independent Variable

chapter 22|41 pages

Exploratory Factor Analysis

chapter 23|64 pages

Confirmatory Factor Analysis

chapter 24|46 pages

Structural Equation Modeling