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Routledge Measurement in the Social Sciences Textbook

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Description

Social scientists face constant frustrations regarding the general process of measurement. While the importance of high-quality measurement is recognized in principle, it is frequently neglected in practice across many social science disciplines. This Routledge publication addresses these gaps by examining the implications of random and non-random measurement errors. As methodological tools such as multivariate analysis, simultaneous-equation estimation, and causal modeling become more widely used, understanding measurement becomes even more significant. This book provides a necessary look at the theories and strategies required to navigate these complex methodological landscapes effectively.

Key Features

This Routledge publication provides essential theories and strategies for measurement in the social sciences.

The text examines the systematic investigation of random and non-random measurement errors.

It covers the application of multivariate analysis and simultaneous-equation estimation in social science research.

The content addresses the implications of causal modeling within the methodological perspectives framework.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 October 2017
Listed Since
19 December 2017

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