Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019118101> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2019118101 endingPage "328" @default.
- W2019118101 startingPage "306" @default.
- W2019118101 abstract "In recent studies on early communication a preference seems to exist for applying statistical methods to behaviours that have in some way been scaled. As an alternative, two methods for analyzing the interaction between two sequences of nominal data are discussed: an information-statistical analysis as developed by VAN DEN BERCKEN & COOLS (1980a) and log-linear modelling. Both methods make use of contingency (transition) tables, which should be constructed according to common requirements that are often ignored in practice. Firstly, the relationships between the number of behavioural categories, the length of the recording, the complexity of the model and the reliability of the statistics need to be considered. Secondly, choices have to be made regarding the use of either time or event sequences. Although these requirements are explained and illustrated using theoretical considerations and data on early mother-infant communication in humans, the application of these models may be much broader. Since informational and log-linear statistics are mathematically related, both can be used to describe the same measures of directionality in the interaction of individual pairs." @default.
- W2019118101 created "2016-06-24" @default.
- W2019118101 creator A5013305735 @default.
- W2019118101 creator A5040054510 @default.
- W2019118101 creator A5045867205 @default.
- W2019118101 creator A5051842285 @default.
- W2019118101 date "1992-01-01" @default.
- W2019118101 modified "2023-09-26" @default.
- W2019118101 title "Sequential Analysis of Nominal Data in Mother-Infant Communication: Quantifying Dominance and Bidirectionality" @default.
- W2019118101 cites W1613779350 @default.
- W2019118101 cites W1848501686 @default.
- W2019118101 cites W1974646734 @default.
- W2019118101 cites W1985513978 @default.
- W2019118101 cites W2011290912 @default.
- W2019118101 cites W2013972779 @default.
- W2019118101 cites W2020129295 @default.
- W2019118101 cites W2024102121 @default.
- W2019118101 cites W2024581991 @default.
- W2019118101 cites W2032688308 @default.
- W2019118101 cites W2041905826 @default.
- W2019118101 cites W2046577860 @default.
- W2019118101 cites W2048778100 @default.
- W2019118101 cites W2057856665 @default.
- W2019118101 cites W2058229887 @default.
- W2019118101 cites W2068574437 @default.
- W2019118101 cites W2074673068 @default.
- W2019118101 cites W2168328010 @default.
- W2019118101 cites W2572758255 @default.
- W2019118101 cites W2992375459 @default.
- W2019118101 cites W2993383518 @default.
- W2019118101 cites W3123463420 @default.
- W2019118101 doi "https://doi.org/10.1163/156853992x00561" @default.
- W2019118101 hasPublicationYear "1992" @default.
- W2019118101 type Work @default.
- W2019118101 sameAs 2019118101 @default.
- W2019118101 citedByCount "6" @default.
- W2019118101 crossrefType "journal-article" @default.
- W2019118101 hasAuthorship W2019118101A5013305735 @default.
- W2019118101 hasAuthorship W2019118101A5040054510 @default.
- W2019118101 hasAuthorship W2019118101A5045867205 @default.
- W2019118101 hasAuthorship W2019118101A5051842285 @default.
- W2019118101 hasConcept C104317684 @default.
- W2019118101 hasConcept C138496976 @default.
- W2019118101 hasConcept C151913843 @default.
- W2019118101 hasConcept C15744967 @default.
- W2019118101 hasConcept C46312422 @default.
- W2019118101 hasConcept C55493867 @default.
- W2019118101 hasConcept C86803240 @default.
- W2019118101 hasConceptScore W2019118101C104317684 @default.
- W2019118101 hasConceptScore W2019118101C138496976 @default.
- W2019118101 hasConceptScore W2019118101C151913843 @default.
- W2019118101 hasConceptScore W2019118101C15744967 @default.
- W2019118101 hasConceptScore W2019118101C46312422 @default.
- W2019118101 hasConceptScore W2019118101C55493867 @default.
- W2019118101 hasConceptScore W2019118101C86803240 @default.
- W2019118101 hasIssue "3-4" @default.
- W2019118101 hasLocation W20191181011 @default.
- W2019118101 hasOpenAccess W2019118101 @default.
- W2019118101 hasPrimaryLocation W20191181011 @default.
- W2019118101 hasRelatedWork W1983476238 @default.
- W2019118101 hasRelatedWork W2016713905 @default.
- W2019118101 hasRelatedWork W2030000401 @default.
- W2019118101 hasRelatedWork W2044244347 @default.
- W2019118101 hasRelatedWork W2059552494 @default.
- W2019118101 hasRelatedWork W2064484569 @default.
- W2019118101 hasRelatedWork W2094546296 @default.
- W2019118101 hasRelatedWork W2192392566 @default.
- W2019118101 hasRelatedWork W2334446790 @default.
- W2019118101 hasRelatedWork W2915584001 @default.
- W2019118101 hasVolume "122" @default.
- W2019118101 isParatext "false" @default.
- W2019118101 isRetracted "false" @default.
- W2019118101 magId "2019118101" @default.
- W2019118101 workType "article" @default.