Content Analysis

S. P. Mukherjee (), Bikas K. Sinha and Asis Kumar Chattopadhyay ()
Additional contact information
S. P. Mukherjee: University of Calcutta, Department of Statistics
Bikas K. Sinha: Indian Statistical Institute
Asis Kumar Chattopadhyay: University of Calcutta, Department of Statistics

Chapter Chapter 3 in Statistical Methods in Social Science Research, 2018, pp 29-37 from Springer

Abstract: Abstract In several areas of research, data collection in the usual sense may not be feasible or may not be required. Data—not the ones directly needed to study the underlying phenomenon—may be available in documents, artifacts, public pronouncements, images, newspaper reports or television serials and the like. Messages bearing on the research questions as are covertly contained in such data have to be deciphered, coded and then subjected to some form of analysis to draw relevant conclusions. This exercise is known as Content Analysis and has a great appeal to social scientists. Usually, more than one coder or referee or rater will be coding the data into some categories and agreement among the raters will be examined by using simple statistical tools. Once sufficient agreement among raters has been established, we proceed to test for relevant research hypotheses using statistical techniques appropriate to categorical data. The present chapter discusses several measures of concordance among raters applicable to different situations and provides their standard errors, so that observed values of the measures can be tested for their significance or otherwise. Several illustrations have been provided to facilitate application of techniques used in Content Analysis.

Keywords: Codes; Inter-rater agreement; Measures of agreement; Standard errors; Triangulation (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-2146-7_3

Ordering information: This item can be ordered from
http://www.springer.com/9789811321467

DOI: 10.1007/978-981-13-2146-7_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().