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Analysis of data from the psycholinguistics experiment (visual lexical decision task) with three different ML techniques: LMER (Linear Mixed-Effect Regression), GLMER (Generalized Linear Mixed-Effect Regression) & GAMMs (Generalized Additive Mixed Modeling).

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Research title: The cognitive processing od Serbian derived nouns with ambiguous and unambiguous suffixes.

This psycholinguistics study was aimed at the experimental investigation of the cognitive processing of Serbian derived nouns with ambiguous derivational suffixes in the visual lexical decision task, one of the tasks which is most commonly used in the language processing research. Two dependent variables are measured in this study: Reaction Time (measured in millisecond) and Accuracy (true/false). In the first step of data analysis, in accordance with the type of dependent variable, two different statistical analysis were performed: Linear Mixed-Effect Regression (LMER -- for RT) and Generalized Linear Mixed-Effects Regression (GLMER -- for Accuracy). The first analysis was selected as appropriate for continuous dependent variable, while the second one was selected as a suitable one for categorical dependent variable. After gain an insight into the fact that almost all covatiates are nonlinear, and that distribution of data (RTs) is problematic even after the transformation of raw data, a significantly more powerful statistical analysis is applied, the one that is less sensitive to these problems Generalized Additive Mixed Modeling (GAMMs -- for RT) (for details see Wood, 2006). All codes are written in the R and the data set is available as vld_final.txt file.

Peer-reviewed journal article:

Gatarić, I. (2019). The cognitive processing of derived nouns with ambiguous suffixes: behavioral and eye-movement study. Applied Psychology, 12(1), 85-104. https://doi.org/10.19090/pp.2019.1.85-104

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Analysis of data from the psycholinguistics experiment (visual lexical decision task) with three different ML techniques: LMER (Linear Mixed-Effect Regression), GLMER (Generalized Linear Mixed-Effect Regression) & GAMMs (Generalized Additive Mixed Modeling).

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