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Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. [1]
Cognitive discourse analysis (CODA) is a research method which examines natural language data in order to gain insights into patterns in (verbalisable) thought. [ 1 ] [ 2 ] The term was coined by Thora Tenbrink [ 3 ] to describe a kind of discourse analysis that had been carried out by researchers in linguistics and other fields.
The idea animating projective tests is that the examinee is thought to project hidden aspects of his or her personality, including unconscious content, onto the ambiguous stimuli presented in the test. Examples of projective tests include Rorschach test, [44] Thematic apperception test, [45] and the Draw-A-Person test. [46]
Thematic analysis goes beyond simply counting phrases or words in a text (as in content analysis) and explores explicit and implicit meanings within the data. [2] Coding is the primary process for developing themes by identifying items of analytic interest in the data and tagging these with a coding label. [ 4 ]
Discursive psychology (DP) is a form of discourse analysis that focuses on psychological themes in talk, text, and images.. As a counter to mainstream psychology's treatment of discourse as a "mirror" for people's expressions of thoughts, intentions, motives, etc., DP's founders made the case for picturing it instead as a "construction yard" wherein all such presumptively prior and independent ...
Another popular projective test is the Thematic Apperception Test (TAT) in which an individual views ambiguous scenes of people, and is asked to describe various aspects of the scene; for example, the subject may be asked to describe what led up to this scene, the emotions of the characters, and what might happen afterwards.
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Content analysis is an important building block in the conceptual analysis of qualitative data. It is frequently used in sociology. For example, content analysis has been applied to research on such diverse aspects of human life as changes in perceptions of race over time, [ 35 ] the lifestyles of contractors, [ 36 ] and even reviews of ...