Matches in SemOpenAlex for { <https://semopenalex.org/work/W2044496481> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2044496481 endingPage "114" @default.
- W2044496481 startingPage "97" @default.
- W2044496481 abstract "Abstract Markov chain analysis provides a way to investigate how the communication processes in dyadic negotiations are affected by features of the negotiating context and how, in turn, differences in communication processes among dyads affect the quality of the final settlement. In Markov models, the communication process is represented as a sequence of transitions between states, which describes how tactics are used and how they are reciprocated during the course of a negotiation. This article provides an introduction to Markov chain analysis and shows, using simulated data, how Markov chain models may be analyzed using widely-available loglinear modeling software. Model selection, assessment of the order of a chain, analysis of residuals, and sample size are discussed." @default.
- W2044496481 created "2016-06-24" @default.
- W2044496481 creator A5014491032 @default.
- W2044496481 creator A5044670526 @default.
- W2044496481 creator A5065318875 @default.
- W2044496481 date "2005-01-01" @default.
- W2044496481 modified "2023-10-17" @default.
- W2044496481 title "Markov Chain Models of Communication Processes in Negotiation" @default.
- W2044496481 doi "https://doi.org/10.1163/1571806054741038" @default.
- W2044496481 hasPublicationYear "2005" @default.
- W2044496481 type Work @default.
- W2044496481 sameAs 2044496481 @default.
- W2044496481 citedByCount "8" @default.
- W2044496481 countsByYear W20444964812012 @default.
- W2044496481 countsByYear W20444964812014 @default.
- W2044496481 countsByYear W20444964812015 @default.
- W2044496481 countsByYear W20444964812020 @default.
- W2044496481 crossrefType "journal-article" @default.
- W2044496481 hasAuthorship W2044496481A5014491032 @default.
- W2044496481 hasAuthorship W2044496481A5044670526 @default.
- W2044496481 hasAuthorship W2044496481A5065318875 @default.
- W2044496481 hasConcept C105795698 @default.
- W2044496481 hasConcept C107673813 @default.
- W2044496481 hasConcept C111350023 @default.
- W2044496481 hasConcept C111472728 @default.
- W2044496481 hasConcept C119857082 @default.
- W2044496481 hasConcept C138885662 @default.
- W2044496481 hasConcept C149782125 @default.
- W2044496481 hasConcept C151730666 @default.
- W2044496481 hasConcept C154945302 @default.
- W2044496481 hasConcept C159886148 @default.
- W2044496481 hasConcept C163836022 @default.
- W2044496481 hasConcept C17744445 @default.
- W2044496481 hasConcept C199539241 @default.
- W2044496481 hasConcept C199776023 @default.
- W2044496481 hasConcept C2779343474 @default.
- W2044496481 hasConcept C2779530757 @default.
- W2044496481 hasConcept C33923547 @default.
- W2044496481 hasConcept C41008148 @default.
- W2044496481 hasConcept C54907487 @default.
- W2044496481 hasConcept C86803240 @default.
- W2044496481 hasConcept C93457212 @default.
- W2044496481 hasConcept C98763669 @default.
- W2044496481 hasConceptScore W2044496481C105795698 @default.
- W2044496481 hasConceptScore W2044496481C107673813 @default.
- W2044496481 hasConceptScore W2044496481C111350023 @default.
- W2044496481 hasConceptScore W2044496481C111472728 @default.
- W2044496481 hasConceptScore W2044496481C119857082 @default.
- W2044496481 hasConceptScore W2044496481C138885662 @default.
- W2044496481 hasConceptScore W2044496481C149782125 @default.
- W2044496481 hasConceptScore W2044496481C151730666 @default.
- W2044496481 hasConceptScore W2044496481C154945302 @default.
- W2044496481 hasConceptScore W2044496481C159886148 @default.
- W2044496481 hasConceptScore W2044496481C163836022 @default.
- W2044496481 hasConceptScore W2044496481C17744445 @default.
- W2044496481 hasConceptScore W2044496481C199539241 @default.
- W2044496481 hasConceptScore W2044496481C199776023 @default.
- W2044496481 hasConceptScore W2044496481C2779343474 @default.
- W2044496481 hasConceptScore W2044496481C2779530757 @default.
- W2044496481 hasConceptScore W2044496481C33923547 @default.
- W2044496481 hasConceptScore W2044496481C41008148 @default.
- W2044496481 hasConceptScore W2044496481C54907487 @default.
- W2044496481 hasConceptScore W2044496481C86803240 @default.
- W2044496481 hasConceptScore W2044496481C93457212 @default.
- W2044496481 hasConceptScore W2044496481C98763669 @default.
- W2044496481 hasIssue "1" @default.
- W2044496481 hasLocation W20444964811 @default.
- W2044496481 hasOpenAccess W2044496481 @default.
- W2044496481 hasPrimaryLocation W20444964811 @default.
- W2044496481 hasRelatedWork W2060156773 @default.
- W2044496481 hasRelatedWork W2100055350 @default.
- W2044496481 hasRelatedWork W2129435535 @default.
- W2044496481 hasRelatedWork W2353273130 @default.
- W2044496481 hasRelatedWork W2393621008 @default.
- W2044496481 hasRelatedWork W2540690809 @default.
- W2044496481 hasRelatedWork W2808173392 @default.
- W2044496481 hasRelatedWork W3022014775 @default.
- W2044496481 hasRelatedWork W3126873283 @default.
- W2044496481 hasRelatedWork W4386839846 @default.
- W2044496481 hasVolume "10" @default.
- W2044496481 isParatext "false" @default.
- W2044496481 isRetracted "false" @default.
- W2044496481 magId "2044496481" @default.
- W2044496481 workType "article" @default.