Elazar J Pedhazur, Liora Pedhazur Schmelkin

Measurement, Design, and Analysis

An Integrated Approach

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 840
• Erscheinungstermin: 1. Mai 1991
• Englisch
• Abmessung: 262mm x 189mm x 56mm
• Gewicht: 1964g
• ISBN-13: 9780805810639
• ISBN-10: 0805810633
• Artikelnr.: 21930711

Autorenporträt

Elazar J. Pedhazur, Liora Pedhazur Schmelkin

Inhaltsangabe

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. Part III: Analysis. Computers and Computer Programs. Simple
Regression Analysis. Multiple Regression Analysis. A Categorical
Independent Variable. Multiple Categorical Independent Variables: Factorial
Designs. Attribute--Treatments--Interactions; Analysis of Covariance.
Exploratory Factor Analysis. Confirmatory Factor Analysis. Structural
Equation Modeling. Appendices: Critical Values for F. Percentile Points for
X2 Distribution.