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Diction 5.0 General Inquirer

Diction 5.0 General Inquirer. E.B. & E.N. Cleveland State University. Diction Software. Originally created for the study of political discourse, expanded to 36 categories of communications. Searches the text word frequency of 10,000 words in 31 word list dictionaries

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Diction 5.0 General Inquirer

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  1. Diction 5.0 General Inquirer E.B. & E.N. Cleveland State University

  2. Diction Software • Originally created for the study of political discourse, expanded to 36 categories of communications. • Searches the text word frequency of 10,000 words in 31 word list dictionaries • Creates scores for the 31 dictionaries and 9 computed variables. • Analyzes in 500 word units

  3. Diction Dictionaries -31 Categories -Size ranges from 10 – 745 words • No words duplicated across dictionaries • Ability to create custom dictionaries • Maximum of ten • Maximum of 200 words per dictionary

  4. Sample Dictionary Dictionary: Leveling -Contains words used to ignore individual differences and to build a sense of completeness and assurance. (Examples: Everybody, anyone, each, fully, always, completely, inevitable, consistent, unconditional, consummate, absolute, open-and-shut)

  5. What does a score mean? • A normative range derived from 20,000+ texts analyzed by Diction • 36 distinct text types - Normal range equals the -1/+1 standard deviation from the mean (68%)

  6. Sample Results

  7. Five Semantic Variables Based on Dictionary Formulas - ACTIVITY = +(Praise + Satisfaction + Inspiration) – (Blame + Hardship + Denial) OPTIMISM = +(Praise + Satisfaction + Inspiration) – (Blame + Hardship + Denial) CERTAINTY = +(Tenacity + Leveling + Collectives + Insistence) – (Numerical Terms + Ambivalence + Self-Reference + Variety) REALISM = +(Familiarity + Spatial Awareness + Temporal Awareness + Present Concern + Human Interest + Concreteness) – (Past Concern + Complexity) COMMONALITY = +(Centrality+ Cooperation + Rapport) – (Diversity + Exclusion + Liberation)

  8. Calculated Variables Insistence Score • Words repeated three or more times in a 500 word text Embellishment • Ratio of descriptive words to functional words Variety • Measure of linguistic dispersion Complexity - Measure of word size

  9. SampleResults

  10. Political Speech ExampleOut of range scores highlighted

  11. Political Speech Example

  12. Convocation AddressesDr. Michael Schwartz President, Cleveland State University

  13. Limitations • Samples of less than 350 words handled by extrapolation and standardization to a 500 word basis • Wide variance in sample size (n) of the 36 communication types • Out of range not referenced to 2nd or 3rd deviation

  14. General Inquirer • Standard dictionaries (“custom” allowed) • Descriptive (f and %) • “Harvard-IV-4” and “Lasswell” general-purpose dictionaries; 182 tag categories • Harvard: objects, animals, people, institutions, relationships, etc. • Lasswell: Dynamics of Culture (power, respect, skill, enlightenment, wealth, etc)

  15. Basically… • Put text file in a folder, name it “testdir” • Testdir must be in the same folder as General Inquirer (in Program Files) • Can run multiple files within testdir • Output opened in Excel can be transferred to SPSS

  16. Info http://www.wjh.harvard.edu/~inquirer/

  17. Selected Texts 32 University Presidents’ speeches on university websites One speech form each institution Converted into text files All saved in testdir folder Used the standard dictionary

  18. Selected Categories • Harvard: Pleasur, Ovrst, Academ, Econ@, Exprsv, COLL, SocRel, Race, Kin@, EMOT, Place, Object, Self, Our, You, Name • Lasswell: PowGain, RcEthic, AffTot, WltTot, WlbGain, EnlGain

  19. “SocRel”

  20. Validity: All Correlations

  21. Validity: Group Correlations

  22. “SocRel” in “Enlightenment Gain”

  23. “SocRel” in “Power Gain”

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