2015
DOI: 10.3758/s13428-015-0602-3
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Norms for name agreement, familiarity, subjective frequency, and imageability for 348 object names in Tunisian Arabic

Abstract: Normative databases for pictorial stimuli are widely used in research on language processing in order to control for a number of psycholinguistic variables in the selected stimuli. Such resources are lacking for Arabic and its dialectal varieties. In the present study, we aimed to provide Tunisian Arabic (TA) normative data for 348 line drawings taken from Cycowicz, Friedman, Rothstein, and Snodgrass (1997), which include Snodgrass and Vanderwart's (1980) 260 pictures. Norms were collected for the following ps… Show more

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Cited by 42 publications
(62 citation statements)
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“…Following previous similar literature (Boukadi, Zouaidi, & Wilson, 2016;Cortese & Schock, 2012;Yap & Balota, 2009), we grouped and entered the variables in the regression models in four different steps.…”
Section: Discussionmentioning
confidence: 99%
“…Following previous similar literature (Boukadi, Zouaidi, & Wilson, 2016;Cortese & Schock, 2012;Yap & Balota, 2009), we grouped and entered the variables in the regression models in four different steps.…”
Section: Discussionmentioning
confidence: 99%
“…The same 30 pictures used in Experiment1 (22 for (Boukadi, Zouaidi, & Wilson, 2015). All distractors were recorded by a native Tunisian Arabic speaker who was born and grew up in Tunis, Tunisia.…”
Section: Methodsmentioning
confidence: 99%
“…We used a stepwise regression analysis to determine the proportions of the variance of RTs in lexical decisions that could be explained by concreteness, imageability, SER, and visual and auditory perceptual strength (Connell & Lynott, 2012). We followed previous similar literature (Boukadi, Zouaidi, & Wilson, 2016;Cortese & Khanna, 2007;Cortese & Schock, 2013;Sanchez-Gutierrez, Mailhot, Deacon, & Wilson, 2018) and ran several hierarchical regression models in which each of the two modality-specific perceptual variables (auditory and visual) was added separately in the last step of these regression models. This allowed for testing the contribution of each of the new variables once the variability of all the other variables entered in the previous step(s) had been controlled for.…”
Section: Stepwise Regressionmentioning
confidence: 99%