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CL Research Implementation of Minnesota Contextual Content Analysis

Content analysis (and specifically Minnesota Contextual Content Analysis) consists of characterizing a text based on the relative frequency with which words in each category are used, compared to norms determined from general usage statistics for the English language. Several statistics are generated from this analysis, for direct use or for further statistical analysis, to the screen or to a file. For more details on MCCA and its use, see Content Analysis Papers at CL Research.

All words in one or more texts are divided into 116 idea categories (plus a "not classified" category). The MCCA dictionary groups word meanings into categories thought to express (singly or in combinations of categories) ideas important to an investigator. Two kinds of normed scores (emphasis or E-scores and context or C-scores) are generated for each analyzed text. If a word has two or more categories associated with it, MCCA applies a sense disambiguation routine to choose just one of these categories.

MCCALite for Windows is a light version of MCCA, without addition of reference groups, more sophisticated statistical analyses, or ability to modify the MCCA dictionary. This version now includes the ability to save statistics to Word, Microsoft Excel, and CSV files. This version is suitable for analyses and comparisons of sets of texts (from sentences to books) and multi-person transcripts, including plays, focus groups, interviews, hearings, and TV scripts. The download is an installation executable. After running it to install MCCALite on the Windows Start Menu, you can perform an immediate analysis of Hamlet or the text on which McTavish & Pirro was based. Click on Content Analysis for more details. MCCALite is free for non-commercial use.

Basic Statistics