Guides: Content Analysis: Quantitative Content Analysis
Kevin Hawkins · 2020
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Content analysis
Alison Twycross, Linda Shields · Paediatric Care · 2008
Content analysis is one of the most commonly used methods for analysing qualitative data. Despite this, little is written about the method and novice researchers often struggle to work out how they should undertake a content analysis. In this update article we provide some definitions related to content analysis, identify the steps that the researcher needs to take when carrying out this technique and discuss issues that may arise during analysis.
Cited by 27
Content Analysis
Stemler, Steven E. · Wesleyan University Digital Collections (Wesleyan University) · 2015
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Content analysis
Bureau Mo, Edrs Price · 2016
AbSTRACT The three purposes of this study were (1) to examine the effect of the frequency of Latin-suffixed words on the cloze performance of readers, (2) to examine the effect of reading materials in different content areas on cloze performance, and (3) to determine whether general reading ability differentially affected cloze scores in various con'tent areas. Ninety articles from three content areas (Movies-T.V.-Theatre, Science, and Human Interest) were selected from five newspapers. The number of Latin suffixes per article (only 200 words of each article were used) was determined, and the articles were classified as high, medium, or low in density of Latin suffixes- The subjects, 225 eighth gradeTs from a middle-class Southern California area, were pretested on a standardized reading test. Each subject was given two articles of the same content area and Latin suffix density to read. Then they were
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Content Analysis
Encyclopedia of Social Psychology · 2007
Cited by 5
Content Analysis
Heting Chu · 2024
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Content Analysis
Stephen M. Croucher, Daniel Cronn-Mills · 2024
The chapter starts with exploring all the pieces and how to conduct a quantitative CA. Content analysis (CA) is a long-standing and well-respected method for conducting communication research. A content analysis is a research method for systematically describing, categorizing, and/or making inferences about communication. A content analysis is an effective approach for analyzing written, verbal, and visual communication. A content analysis can develop categories and themes using deductive or inductive analysis. A deductive analysis involves first setting broad categories and then seeing how often they show up in your data. An inductive analysis allows for the themes and categories to emerge from the data. A content analysis uses a coding schedule (or coding sheet) to track and record your coding of the data. A quantitative analysis will need to demonstrate intercoder reliability using an established statistical analysis such as Cohen’s Kappa, Spearman’s rho, Pearson’s correlation, or Krippendorf’s alpha. A qualitative content analysis has three characteristics. The claims we make vary depending on whether we are using a quantitative or qualitative content analysis.
Cited by 1
Content analysis
2003
Cited by 0
Content analysis
Islam Elgammal · 2016
Cited by 1
Content Analysis
Doug Bond · Encyclopedia of Social Measurement · 2005
Cited by 5
content analysis
Michael Boyle, Mike Schmierbach · 2019
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Content Analysis
Bertil Malmberg · 1967
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Content analysis
Qual Quant, Tom A. B. Snijders · 2010
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Content Analysis
Leeann Bass, Holli A. Semetko · Oxford University Press eBooks · 2021
This chapter explains content analysis, which is a social science research method that involves the systematic analysis of text, media, communication, or information. The source, the message, the receiver, the medium, and the influence of the message are all topics that have been studied using content analysis and in combination with other methods. There are deductive and inductive approaches to content analysis. Two widely cited studies using content analysis take a deductive approach: using predefined categories and variables based on findings and best practices from prior research. Studies taking an inductive approach to content analysis, by contrast, have an open view of the content, usually involve a small-N sample, and are often based on a qualitative approach. Meanwhile, much has been written on methods and approaches to measuring reliability with human coders. Traditional content analysis uses human coders, whereas a variety of software has emerged that can be used to download and score or code vast amounts of textual news data. The chapter then identifies key benefits and challenges associated with new computational social science tools such as text analysis.
Cited by 3
Content Analysis
2013
Cited by 1
Content Analysis
George Bedinelli Rossi; Universidade de São Paulo - EACH/USP, São Paulo, Francisco Antonio Serralvo; PUC-SP, Belmiro Nascimento Joao; PUC-SP · 2014
Cited by 0Open access
Content Analysis
Philip J. Stone · 2024
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Content Analysis
Jackson MV Dr · Oxford University Research Archive (ORA) (University of Oxford) · 2008
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content analysis
Ansari, Saleha · Figshare · 2024
content analysis
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Content Analysis
Furtado, Victor · Figshare · 2022
Sheet of analysis of the articles.
Cited by 0Open access