Quantitative Content Analysis Methods in Instructional Technology Research: Defining, Coding, Analyzing and Modeling (DCAM).
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| Title: | Quantitative Content Analysis Methods in Instructional Technology Research: Defining, Coding, Analyzing and Modeling (DCAM). |
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| 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] |
| Copyright of Journal of Educational Technology Development & Exchange is the property of Society of International Chinese in Educational Technology (SICET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 160359783 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantitative Content Analysis Methods in Instructional Technology Research: Defining, Coding, Analyzing and Modeling (DCAM). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Leping+Liu%22">Leping Liu</searchLink><relatesTo>1</relatesTo><i> liu@unr.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Educational+Technology+Development+%26+Exchange%22">Journal of Educational Technology Development & Exchange</searchLink>. 2022, Vol. 15 Issue 1, p19-46. 28p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Content+analysis%22">Content analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22User-generated+content%22">User-generated content</searchLink><br /><searchLink fieldCode="DE" term="%22Nonparametric+statistics%22">Nonparametric statistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Educational Technology Development & Exchange is the property of Society of International Chinese in Educational Technology (SICET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18785/jetde.1501.03 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 19 Subjects: – SubjectFull: Educational technology Type: general – SubjectFull: Content analysis Type: general – SubjectFull: Teaching methods Type: general – SubjectFull: Quantitative research Type: general – SubjectFull: User-generated content Type: general – SubjectFull: Nonparametric statistics Type: general Titles: – TitleFull: Quantitative Content Analysis Methods in Instructional Technology Research: Defining, Coding, Analyzing and Modeling (DCAM). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Leping Liu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 19418027 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Journal of Educational Technology Development & Exchange Type: main |
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