AutoProp: a tool to automate the construction of psychological propositions
| dc.contributor.author | Briner, Stephen W. | |
| dc.contributor.author | McCarthy, Philip M. | |
| dc.contributor.author | McNamara, Danielle S. | |
| dc.date.accessioned | 2011-03-30T20:15:32Z | |
| dc.date.available | 2011-03-30T20:15:32Z | |
| dc.date.issued | 2007 | |
| dc.identifier.issn | 0894-4539 | |
| dc.identifier.uri | http://hdl.handle.net/10150/126390 | |
| dc.description.abstract | A prototype of an automated tool to construct a propositional textbase, AutoProp, is described and qualitatively assessed. The tool is specifically designed to propositionalize texts for experimental studies that collect and analyze participants’ recall of text. The procedure for creating the propositionalized text is explained, followed by a descriptive analysis of the tool’s propositions as compared to 29 hand-coded propositions. In initial testing, all of AutoProp’s propositions differed from the hand-coded propositions at a superficial level; however, no differences deemed uncorrectable were encountered. Based on the success of these initial results, we conclude that AutoProp is a viable tool worthy of continued examination and development. Limitations of the tool, along with future developmental plans and requirements addressing these limitations are also discussed. | |
| dc.language.iso | en_US | en_US |
| dc.publisher | University of Arizona Linguistics Circle (Tucson, Arizona) | en_US |
| dc.relation.url | https://coyotepapers.sbs.arizona.edu/ | en_US |
| dc.rights | Copyright © is held by the author(s). | en_US |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en_US |
| dc.title | AutoProp: a tool to automate the construction of psychological propositions | en_US |
| dc.type | text | en_US |
| dc.type | Article | en_US |
| dc.contributor.department | Department of Psychology, University of Memphis | en_US |
| dc.identifier.journal | Coyote Papers | en_US |
| dc.description.collectioninformation | The Coyote Papers are made available by the Arizona Linguistics Circle at the University of Arizona and the University of Arizona Libraries. Contact coyotepapers@email.arizona.edu with questions about these materials. | en_US |
| dc.source.journaltitle | Coyote Papers | |
| refterms.dateFOA | 2018-06-18T01:11:35Z | |
| html.description.abstract | A prototype of an automated tool to construct a propositional textbase, AutoProp, is described and qualitatively assessed. The tool is specifically designed to propositionalize texts for experimental studies that collect and analyze participants’ recall of text. The procedure for creating the propositionalized text is explained, followed by a descriptive analysis of the tool’s propositions as compared to 29 hand-coded propositions. In initial testing, all of AutoProp’s propositions differed from the hand-coded propositions at a superficial level; however, no differences deemed uncorrectable were encountered. Based on the success of these initial results, we conclude that AutoProp is a viable tool worthy of continued examination and development. Limitations of the tool, along with future developmental plans and requirements addressing these limitations are also discussed. |
