首页> 外文OA文献 >An appropriate use of iMap produces correct statistical results: a reply to McManus (2013) 'iMAP and iMAP2 produce erroneous statistical maps of eye-movement differences'.
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An appropriate use of iMap produces correct statistical results: a reply to McManus (2013) 'iMAP and iMAP2 produce erroneous statistical maps of eye-movement differences'.

机译:正确使用iMap会产生正确的统计结果:回复McManus(2013)“ iMAP和iMAP2会产生错误的眼动差异统计图”。

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摘要

McManus (2013, Perception, 42, 1075-1084) contends the validity of the statistical approach adopted in previous versions of iMap (namely, iMap and iMap2; Caldara & Miellet, 2011, Behavior Research Methods, 43, 864-878), casts doubts on earlier results obtained with the toolbox, and offers an altered version of the code. Here we dispute these claims and argue that while some of the arguments put forward are valid, McManus's conclusions are misleading, since they are based on a partial use of the toolbox. Moreover, we compared iMap with the alternative code offered by McManus and objectively demonstrate that McManus's approach is underpowered and flawed. iMap offers an appropriate and effective alternative to the commonly used regions of interest approach for statistical analyses of eye-movement data.
机译:McManus(2013,Perception,42,1075-1084)争论在以前版本的iMap(即iMap和iMap2; Caldara&Miellet,2011,行为研究方法,43,864-878)中采用的统计方法的有效性对使用工具箱获得的早期结果存有疑问,并提供了经过修改的代码版本。在这里,我们对这些主张提出异议,并辩称,尽管提出的某些论点是正确的,但麦克马纳斯的结论具有误导性,因为它们的结论是基于对工具箱的部分使用。此外,我们将iMap与McManus提供的替代代码进行了比较,客观地证明了McManus的方法功能不足且存在缺陷。对于眼动数据的统计分析,iMap为常用的关注区域方法提供了一种合适而有效的替代方法。

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