Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281795609> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4281795609 endingPage "328" @default.
- W4281795609 startingPage "311" @default.
- W4281795609 abstract "Abstract Multilevel models are effective marketing analytic tools that can test for consumer differences in longitudinal data. A two-part multilevel model is a special case of a multilevel model developed for semi-continuous data, such as data that include a combination of zeros and continuous values. For repeated measures of media use data, a two-part multilevel model informs market research about consumer-specific likeliness to use media, level of use across time, and variation in use over time. These models are typically estimated using maximum likelihood. There are, however, tremendous advantages to using a Bayesian framework, including the ease at which the analyst can take into account information learned from previous investigations. This paper develops a Bayesian approach to estimating a two-part multilevel model and illustrates its use by applying the model to daily diary measures of television use in a large US sample." @default.
- W4281795609 created "2022-06-13" @default.
- W4281795609 creator A5079024960 @default.
- W4281795609 date "2022-05-31" @default.
- W4281795609 modified "2023-10-14" @default.
- W4281795609 title "Bayesian two-part multilevel model for longitudinal media use data" @default.
- W4281795609 cites W1493921296 @default.
- W4281795609 cites W1911081242 @default.
- W4281795609 cites W1924348690 @default.
- W4281795609 cites W1966842282 @default.
- W4281795609 cites W1989062675 @default.
- W4281795609 cites W1999291824 @default.
- W4281795609 cites W2015928959 @default.
- W4281795609 cites W2019080254 @default.
- W4281795609 cites W2057693714 @default.
- W4281795609 cites W2064279221 @default.
- W4281795609 cites W2082246284 @default.
- W4281795609 cites W2100612361 @default.
- W4281795609 cites W2338963495 @default.
- W4281795609 cites W2339793368 @default.
- W4281795609 cites W2424266652 @default.
- W4281795609 cites W2479390720 @default.
- W4281795609 cites W2944958851 @default.
- W4281795609 cites W2976245092 @default.
- W4281795609 cites W3006041879 @default.
- W4281795609 cites W3159516040 @default.
- W4281795609 cites W3166265104 @default.
- W4281795609 cites W3176582668 @default.
- W4281795609 doi "https://doi.org/10.1057/s41270-022-00172-9" @default.
- W4281795609 hasPublicationYear "2022" @default.
- W4281795609 type Work @default.
- W4281795609 citedByCount "2" @default.
- W4281795609 countsByYear W42817956092023 @default.
- W4281795609 crossrefType "journal-article" @default.
- W4281795609 hasAuthorship W4281795609A5079024960 @default.
- W4281795609 hasBestOaLocation W42817956091 @default.
- W4281795609 hasConcept C107673813 @default.
- W4281795609 hasConcept C119857082 @default.
- W4281795609 hasConcept C124101348 @default.
- W4281795609 hasConcept C144986985 @default.
- W4281795609 hasConcept C149782125 @default.
- W4281795609 hasConcept C154945302 @default.
- W4281795609 hasConcept C16012445 @default.
- W4281795609 hasConcept C160234255 @default.
- W4281795609 hasConcept C185592680 @default.
- W4281795609 hasConcept C191413810 @default.
- W4281795609 hasConcept C198531522 @default.
- W4281795609 hasConcept C3020672099 @default.
- W4281795609 hasConcept C33923547 @default.
- W4281795609 hasConcept C41008148 @default.
- W4281795609 hasConcept C43617362 @default.
- W4281795609 hasConcept C53059260 @default.
- W4281795609 hasConceptScore W4281795609C107673813 @default.
- W4281795609 hasConceptScore W4281795609C119857082 @default.
- W4281795609 hasConceptScore W4281795609C124101348 @default.
- W4281795609 hasConceptScore W4281795609C144986985 @default.
- W4281795609 hasConceptScore W4281795609C149782125 @default.
- W4281795609 hasConceptScore W4281795609C154945302 @default.
- W4281795609 hasConceptScore W4281795609C16012445 @default.
- W4281795609 hasConceptScore W4281795609C160234255 @default.
- W4281795609 hasConceptScore W4281795609C185592680 @default.
- W4281795609 hasConceptScore W4281795609C191413810 @default.
- W4281795609 hasConceptScore W4281795609C198531522 @default.
- W4281795609 hasConceptScore W4281795609C3020672099 @default.
- W4281795609 hasConceptScore W4281795609C33923547 @default.
- W4281795609 hasConceptScore W4281795609C41008148 @default.
- W4281795609 hasConceptScore W4281795609C43617362 @default.
- W4281795609 hasConceptScore W4281795609C53059260 @default.
- W4281795609 hasIssue "4" @default.
- W4281795609 hasLocation W42817956091 @default.
- W4281795609 hasOpenAccess W4281795609 @default.
- W4281795609 hasPrimaryLocation W42817956091 @default.
- W4281795609 hasRelatedWork W1548970483 @default.
- W4281795609 hasRelatedWork W2266006640 @default.
- W4281795609 hasRelatedWork W2571395702 @default.
- W4281795609 hasRelatedWork W2982486933 @default.
- W4281795609 hasRelatedWork W3167771311 @default.
- W4281795609 hasRelatedWork W4207072374 @default.
- W4281795609 hasRelatedWork W4281795609 @default.
- W4281795609 hasRelatedWork W4306931962 @default.
- W4281795609 hasRelatedWork W4309301814 @default.
- W4281795609 hasRelatedWork W806876396 @default.
- W4281795609 hasVolume "10" @default.
- W4281795609 isParatext "false" @default.
- W4281795609 isRetracted "false" @default.
- W4281795609 workType "article" @default.