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We have devised methods to extract quantitative measures of data from transcripts of audio-recorded psychoanalytic treatments. Unlike transcripts,
our quantitative data and measures can be safely shared and widely distributed because neither patient nor analyst can be identified. In addition, the database can be easily manipulated and studied by any-one using a personal computer.
The Open Access Project is based on three computer programs. Our first program, Data Extractor, extracts words and phrases from psychoanalytic texts and counts individual words and repeated word-sequences used by both patients and analysts. The program also tallies and stores eleven constant and countable variables—”counted items”— found in every psychoanalytic transcript. Data Extractor yields data based on two units of measure—entire psychoanalytic sessions and uninterrupted speech segments. The word tables and counted items are referred to as extracted data because they are extracted from transcripts that can be safely shared.
Data Explorer, our second program, allows analysts to easily focus on the frequency of specific words or phrases in the extracted data. For example, analysts interested in a patient's use of personal pronouns, such as you and I, can quickly obtain a count of these pronouns in each hour (or in each uninterrupted segment of speech). We cannot yet explain these observations, but we know they are facts that can now be checked and further studied.
Our poster focuses on an 80-hour sample of ten consecutive transcribed hours from each year of Mrs. C's 1,114-hour psycho-analysis. Mrs. C repeated the phrase “you know” a total of 1,251 times in our sample hours—4% in the first ten hours of her analysis, 22% in the next to the last year, and 74% in the final few weeks. These interesting facts about this much-studied case can now be checked and further studied.
Our final program, Data Analyzer, provides statistical summaries of the spreadsheets produced by Data Extractor and Da