Time series analysis of literary creativity: A potential paradigm
Identifieur interne : 005D50 ( Main/Exploration ); précédent : 005D49; suivant : 005D51Time series analysis of literary creativity: A potential paradigm
Auteurs : Dean Keith SimontonSource :
- Poetics [ 0304-422X ] ; 1978.
Abstract
Many key questions concerning literary creativity may be answered using time-series analysis. The two most useful types of time series are (a) biographical time series consisting of consecutive observations of the lives of eminent writers and (b) transhistorical time series consisting of consecutive observations of the progression of literary traditions. Either time series may be subjected to correlational analyses (bivariate correlation, autocorrelation, and p-type factor analysis), quasi-experimental analyses (interrupted time series and cross-lagged correlation technique), and multiple regression analyses (generational time series, individual-generational analysis, and cross-sectional time series). Past research on creativity is cited to illustrate the scope of the substantive issues which can be addressed using time series designs.
Url:
DOI: 10.1016/0304-422X(78)90040-2
Affiliations:
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