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. In order to help readers learn to apply meaningfully the
analytic approaches covered, 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. This enables instructors
to tailor their use of the book according to their emphases, and the levels of their students.
Table of Contents
Preface.
Overview.
Part I: Measurement.
Measurement and Scientific Inquiry.
Criterion-Related Validation.
Construct Validation.
Reliability.
Selected Approaches to Measurement in Sociobehavioral Research.
Part II: Design.
Science and Scientific Inquiry.
Definitions and Variables.
Theories, Problems, and Hypotheses.
Research Design: Basic Principles and Concepts.
Artifacts and Pitfalls in Research.
Experimental Designs.
Quasi-Experimental Designs.
Nonexperimental Designs.
Introduction to Sampling.
