Quantitative Content Analysis Methods in Instructional Technology Research: Defining, Coding, Analyzing and Modeling (DCAM).

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Bibliographic Details
Title:	Quantitative Content Analysis Methods in Instructional Technology Research: Defining, Coding, Analyzing and Modeling (DCAM).
Authors:	Leping Liu¹ liu@unr.edu
Source:	Journal of Educational Technology Development & Exchange. 2022, Vol. 15 Issue 1, p19-46. 28p.
Subject Terms:	Educational technology, Content analysis, *Teaching methods, Quantitative research, User-generated content, Nonparametric statistics
Abstract:	Content analysis has been applied in the research of instructional design and technology to analyze (a) text-based contents, such as online discussions, social media communications, or published articles, and (b) other formats of contents such as videos, audios, or pictures. The purpose of this article is to introduce a method of DCAM (Defining, Coding, Analyzing and Modeling) for content analysis with practice examples. DCAM is a quantitative method generated from a series of studies in instructional design conducted by the author, and supported by the literature in the field. The variables defined from the text-content or other formats of contents can be design related variables, learning related variables, microactivities in learning, or behavior-performance related learning outcome. In this article, first, nominal, ordinal and scaled coding methods on those variables are demonstrated. Second, reliability measures in content-variable coding are reviewed and explored. Third, parametric and nonparametric statistics methods to examine those variables for content analysis are presented. Finally, some cautions and suggestions to conduct content analysis is discussed. [ABSTRACT FROM AUTHOR]
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Database:	Education Research Complete

Description
Abstract:	Content analysis has been applied in the research of instructional design and technology to analyze (a) text-based contents, such as online discussions, social media communications, or published articles, and (b) other formats of contents such as videos, audios, or pictures. The purpose of this article is to introduce a method of DCAM (Defining, Coding, Analyzing and Modeling) for content analysis with practice examples. DCAM is a quantitative method generated from a series of studies in instructional design conducted by the author, and supported by the literature in the field. The variables defined from the text-content or other formats of contents can be design related variables, learning related variables, microactivities in learning, or behavior-performance related learning outcome. In this article, first, nominal, ordinal and scaled coding methods on those variables are demonstrated. Second, reliability measures in content-variable coding are reviewed and explored. Third, parametric and nonparametric statistics methods to examine those variables for content analysis are presented. Finally, some cautions and suggestions to conduct content analysis is discussed. [ABSTRACT FROM AUTHOR]
ISSN:	19418027
DOI:	10.18785/jetde.1501.03