By Robert Philip Weber
This moment variation of simple content material research is totally up to date and provides a concise advent to content material research equipment from a social technological know-how standpoint. It comprises new machine purposes, new reports and an extra bankruptcy on difficulties and concerns which can come up while accomplishing content material research in 4 significant parts: size, indication, illustration and interpretation.
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Extra resources for Basic Content Analysis (Quantitative Applications in the Social Sciences)
2 illustrate excerpts from a much larger KWIC list for party platforms from 1968 to 1980. This larger data base can be used to study detailed differences and similarities in symbol usage in party platforms from this period. Concordances do not automatically show the referents of pronouns and ambiguous phrases. Furthermore, unlike retrievals from text based on category assignments (which are discussed later in this chapter) concordances do not organize the text according to synonyms or words with similar connotations.
Texts can be classified with more than one dictionary and the results compared. If the results only partially replicate across dictionaries, additional research should determine the circumstances under which the results are similar and variant. Also, if the substantive conclusions do not depend on the particular category scheme, researchers reluctant to use one or < previous page page_38 next page > < previous page page_39 next page > Page 39 another existing dictionary that does not operationalize their particular conceptual scheme might now be persuaded to do so.
Many proposals exist to resolve these problems (Namenwirth and Weber, 1987: chapter 8), but none are entirely satisfactory. One solution is to weight each word depending on how well it connotes the category. Advocates of this strategy, however, never have provided a convincing argument demonstrating how valid weights can be determined reliably. An alternate solution is to categorize some words in more than one category. This strategy may lead to conceptually fuzzy categories, which, as noted, lack statistical independence.