Human Sexuality and Fetishism
This paper illustrates an application of computer content analysis in sexology. It compares a set of fictional fetishistic narrativespublished on a web site for rubber boot fetishists (n = 27) with a set of samples taken from general romance and love stories (n = 29). Using Martindale's Regressive Imagery Dictionary, it is shown that the fetishistic narratives contain a significantly higher proportion of primary process content and a significantly lower proportion of secondary process content than the romance and love stories. The subcategory of Icarian imagery is the main contributor to this effect. These findings appear to support previous theoretical views of fetishism as a regressive state and a "destruction of reality". Further content analysis studies of a wider range of fetishes may facilitate a typological categorization of fetishism. Computer content analysis has been a mainstream research technique in the social sciences since around the mid-1960s [1]. Reduced to its bare essentials, it is a methodology that is based on counting the frequencies of entities (normally words and phrases) within texts. However, content analysis is not just another name for word frequency anal
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Some common words found in the essay are:
Martindale Fischer, Imagery Dictionary, Moral Imperative, West Martindale, Introduction Computer, According Freud, Perceptual Disinhibition, Chalkley Powell, Dresdner Angstwörterbuch, According Ogilvie's, content analysis, primary process, secondary process, rubber boot, romance love, process content, primary process content, love stories, computer content, et al, computer content analysis, romance love stories, primary secondary process, rubber boot stories, boot stories,
Approximate Word count = 2631
Approximate Pages = 11 (250 words per page double spaced)
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