Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10747
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dc.contributor.authorSaleh Zolait, AZ-
dc.contributor.authorSulaiman, A-
dc.contributor.authorSyed Alwi, SF-
dc.date.accessioned2015-05-06T10:06:56Z-
dc.date.available2008-
dc.date.available2015-05-06T10:06:56Z-
dc.date.issued2008-
dc.identifier.citationCommunications of the IBIMA, 2(13): 90 - 102, (2008)en_US
dc.identifier.issn1943-7765-
dc.identifier.urihttp://www.ibimapublishing.com/journals/CIBIMA/volume2/v2n13.html-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/10747-
dc.description.abstractThe capacity to correctly assess the existence of interaction is a high-value modeling capability among researchers of information systems (IS), especially those focusing on behavioural paradigm studies. Interaction is a notable aspect for the major theoretical frameworks of the IS field, particularly the adoption theories. Allowing for crossover effects in the Theory of Planned Behaviour resulted in improvements in model prediction (Taylor & Todd, 1995b). This study presents the trimmed model, which does not permit crossover effect relations among variables. In complex models, as mentioned by Pedhazur (1997), one variable may affect another variable indirectly through multiple paths. According to him, it stands to reason that indirect effects, through certain paths, may be more meaningful and/or stronger than others. The findings of this quantitative study lead one to conclude that crossover effect models are more capable of showing the interaction among models’ variables, as well as explaining the highest percentage of variation for a single dependent variable, in comparison to the full and trimmed modelsen_US
dc.format.extent90 - 102-
dc.language.isoenen_US
dc.publisherIBIMA Publishingen_US
dc.subjectInformation systemsen_US
dc.subjectInteraction effecten_US
dc.subjectBehavioural intentionen_US
dc.subjectOLSen_US
dc.titleMeasuring interaction: An empirical comparison of three OLS regression modelsen_US
dc.typeArticleen_US
dc.relation.isPartOfCommunications of the IBIMA-
pubs.issue13-
pubs.issue13-
pubs.volume2-
pubs.volume2-
Appears in Collections:Brunel Business School Research Papers

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