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7 - Quantitative Content Analysis and the Measurement of Collective Identity

Published online by Cambridge University Press:  05 June 2012

Rawi Abdelal
Affiliation:
Harvard Business School
Yoshiko M. Herrera
Affiliation:
University of Wisconsin, Madison
Alastair Iain Johnston
Affiliation:
Harvard University, Massachusetts
Rose McDermott
Affiliation:
University of California, Santa Barbara
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Summary

CONTENT ANALYSIS INTRODUCED

Content analysis, simply put, is the quantitative investigation of message characteristics. Most definitions are a bit more specific than this, often delineated by the degree to which a scientific method is assumed. The following definition is employed here:

Content analysis is a summarizing, quantitative analysis of messages that relies on the scientific method (including attention to objectivity-intersubjectivity, a priori design, reliability, validity, generalizability, replicability, and hypothesis testing) and is not limited as to the types of variables that may be measured or the context in which the messages are created or presented.

(Neuendorf 2002: 10)

In content analysis, as in all quantitative investigations, the quality of a measure is dependent on several factors. First, there must be a clear conceptualization of the construct of interest, for it is the congruence between conceptualization and operationalization (measurement) that constitutes basic internal validity (Babbie 1998).

First, We Conceptualize

With the construct of collective identity, conceptualization can be problematic, in that theoretic approaches abound. Abdelal et al. (2006: 695) refer to the “definitional anarchy” of identity research and, as Bruland and Horowitz (2003: 1) note, “the existence of identity as a universal but largely implicit concept makes it difficult to isolate and understand its use.”

Type
Chapter
Information
Measuring Identity
A Guide for Social Scientists
, pp. 203 - 236
Publisher: Cambridge University Press
Print publication year: 2009

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