The Handbook of Linguistics 2017
DOI: 10.1002/9781119072256.ch17
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Psycholinguistics

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“…LMEs regression analysis was preferred to analysis of variance for several reasons. Firstly, LMEs models allowed for inclusion of several variables, such as WM capacity, distance types, and grammaticality, to be considered simultaneously (Baayen et al, 2008;Christianson, 2017). Secondly, the LMEs regression analysis could account for individual differences between participants and the research stimuli, and thus was appropriate for analyzing the RT data in the present experiments, which were considered nonindependent or hierarchical data since the RTs of each participant were observed in different conditions of the same items by each participant.…”
Section: Scoring and Analysismentioning
confidence: 99%
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“…LMEs regression analysis was preferred to analysis of variance for several reasons. Firstly, LMEs models allowed for inclusion of several variables, such as WM capacity, distance types, and grammaticality, to be considered simultaneously (Baayen et al, 2008;Christianson, 2017). Secondly, the LMEs regression analysis could account for individual differences between participants and the research stimuli, and thus was appropriate for analyzing the RT data in the present experiments, which were considered nonindependent or hierarchical data since the RTs of each participant were observed in different conditions of the same items by each participant.…”
Section: Scoring and Analysismentioning
confidence: 99%
“…Secondly, the LMEs regression analysis could account for individual differences between participants and the research stimuli, and thus was appropriate for analyzing the RT data in the present experiments, which were considered nonindependent or hierarchical data since the RTs of each participant were observed in different conditions of the same items by each participant. In addition, LMEs modeling also allowed for the assumption that the sample group had been randomly sampled from the population, accounting for individual differences which might appear to be more influential than differences in terms of crosslinguistic influence (Christianson, 2017;Tanner, 2013).…”
Section: Scoring and Analysismentioning
confidence: 99%