Fixing the stimulus-as-fixed-effect fallacy in task fMRI
نویسندگان
چکیده
منابع مشابه
Fixing the stimulus-as-fixed-effect fallacy in task fMRI
Most functional magnetic resonance imaging (fMRI) experiments record the brain's responses to samples of stimulus materials (e.g., faces or words). Yet the statistical modeling approaches used in fMRI research universally fail to model stimulus variability in a manner that affords population generalization, meaning that researchers' conclusions technically apply only to the precise stimuli used...
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The proper analysis of experiments using language materials has been a source of controversy and debate among researchers. We summarize the main issues and discuss the solutions that have been presented. Even though the major issues have been dealt with extensively in the literature, there still exists quite a bit of confusion about how to analyze the data from such experiments. We discuss a nu...
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On Multi-Level Modeling as a remedy against the “Language-as-Fixed-Effect Fallacy”
Statistical analyses in psycholinguistics are often done by two separate ANOVAs for repeated measures, over subjects and over items. Multi-level modeling (MLM), by contrast, combines all random factors, subjects and items and any others, into a single full analysis. This property alone makes multi-level modeling superior over conventional single-level ANOVA techniques. This paper explains the b...
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ژورنال
عنوان ژورنال: Wellcome Open Research
سال: 2017
ISSN: 2398-502X
DOI: 10.12688/wellcomeopenres.10298.2