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Notational modulation of the SNARC and the MARC (linguistic markedness of response codes) effect

机译:SNARC和MARC(响应代码的语言标记)效果的符号调制

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Number magnitude and number parity representation are fundamental number representations. However, the representation of parity is much less understood than that of magnitude: Therefore, we investigated it by examining the (new) Linguistic Markedness of Response Codes (MARC) effect: Responses are facilitated if stimuli and response codes both have the same (congruent) linguistic markedness (even-right, odd-left) while incongruent conditions (even-left, odd-right) lead to interference. We examined systematically the MARC (for parity) and the Spatial Numerical Association of Response Codes (SNARC; for magnitude) effect for different number notations (positive Arabic, negative Arabic, number words) and with different methods of data analysis. In a parity judgement task, the SNARCeffect indicating a magnitude representation was replicated for all notations except for negative numerals. The MARCeffect was found for number words in all analyses, but less consistently for the other notations. In contrast, a correlational analysis of the reaction time (RT) data, as suggested by Sternberg (1969) using a nonmetric multi-dimensional scaling (MDS) procedure, produced a clear association of parity and response code for all notations (MARCeffect), but little evidence of the SNARCeffect. We discuss the extent to which these notation-specific MARC and SNARC effects constrain current models of number processing and elaborate on the possible functional locus of the MARC effect.
机译:数字幅度和奇偶校验表示是基本数字表示。但是,对奇偶表示的理解要比对数量表示的理解要少得多:因此,我们通过研究(新)响应代码的语言标记(MARC)效果进行了调查:如果刺激和响应代码都相同(一致),则有助于响应)语言标记(偶数右,奇数左),而不一致的条件(偶数左,奇数右)会导致干扰。我们系统地检查了MARC(用于奇偶校验)和空间数字响应代码协会(SNARC;用于幅度)对不同数字符号(正阿拉伯语,负阿拉伯语,数字词)的影响,并使用了不同的数据分析方法。在奇偶校验判断任务中,对于除负数以外的所有符号都复制了表示幅度表示的SNARC效果。在所有分析中都发现了数字词的MARCeffect,但其他表示法则不一致。与此相反,如Sternberg(1969)所建议,使用非度量多维标度(MDS)程序对反应时间(RT)数据进行相关性分析,可以清楚地看出所有符号的奇偶校验和响应码相关联(MARCeffect),但很少有SNARC效应的证据。我们讨论了这些符号特定的MARC和SNARC效果在多大程度上限制了当前的数字处理模型,并详细说明了MARC效果的可能功能位点。

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