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Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm.
Select the content you will analyze. Based on your research question, choose the texts that you will analyze. Define the units and categories of analysis. Develop a set of rules for coding. Code the text according to the rules. Analyze the results and draw conclusions.
Content analysis is a research tool used to determine the presence of certain words, themes, or concepts within some given qualitative data (i.e. text). Using content analysis, researchers can quantify and analyze the presence, meanings and relationships of such certain words, themes, or concepts.
Content analysis is a method for summarizing any form of content by counting various aspects of the content. This enables a more objective evaluation than comparing content based on the impressions of a listener. For example, an impressionistic summary of a TV program, is not content analysis.
Content analysis in qualitative research is carried out by recording the communication between the researcher and its subjects. One can use different modes such as transcripts of interviews/discourses, protocols of observation, videotapes and written documents for communication.
Research and understand your tool set. Excel is an analyst's best friend. Start with your data. Once you understand what data you can access, the next step is to analyze your own properties. Learn from the competitors. Studying your competition is hugely valuable. Pull it all together. Actually use your data.
There are two general types of content analysis: conceptual analysis and relational analysis. Conceptual analysis determines the existence and frequency of concepts in a text. Relational analysis develops the conceptual analysis further by examining the relationships among concepts in a text.
Content analysis is a method used to analyze qualitative data (non-numerical data). In its most common form it is a technique that allows a researcher to take qualitative data and to transform it into quantitative data (numerical data).

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