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Name: Pooya Razavi
Type: User
Name: Pooya Razavi
Type: User
The present study adopts a prototype approach to investigate the differences between justified and unjustified anger in terms of established dimensions relevant to moral, emotional, and relational experiences.
Comparisons of the judgments of people who express anger vs. those who do not
The consequences of spending money on experiences (e.g., travel) vs. materials (e.g., clothes)
Analyzing anger narratives using LIWC-quantified narratives (based on both internal and external dictionaries)
Hypothesis-testing and exploratory analyses of respondents' ratings of how they felt, what they thought, and how they behaved during an emotional expisode. The code includes descriptives, chi-square, regression, t-test, principal components analysis, different measures of effect size, and functions to automate analyses across subsets of data.
Latent Dirichlet Allocation (LDA) analysis of open-ended text responses about emotional experiences in the past
Finding the topics in anger narratives using MEM
R code corresponding to the preregistered analyses of anger prototype study
Item Response Theory analyses of the brief self-construal scale
Simulated data and the corresponding code
Structural Topic Modeling with the anger narratives
Simulation studies to explore the effect of missing data on accuracy in surveys
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