Publications by Andrew Ithurburn
Power motivations and Rape Myths
Table of contents Rape Myths - Study 5 Analysis 1 - DoPL predicting overall rape myth Acceptance Model Summary Table Full Interaction model of dopl predicting overall rape myth acceptance Model Summary Interaction Full Model Comparison Click To show results Exploratory Individual rape myth acceptance subscales predicted by DoPL Model Summary...
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Power motivations and sexual risk-taking
Table of contents Results Gender Analysis Priors Models Multi model with dopl and pni as predictor variables Summary of m1 Multi model with dopl and pni as predictor variables and interaction terms Summary of the m1_interaction model m1 model comparison loo comparison bayes factor comparison Correlation Correlation Summary Power motivatio...
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Power motivations and sexual risk-taking
Table of contents Results Gender Analysis Priors Models Multi model with dopl and pni as predictor variables Summary of m1 Multi model with dopl and pni as predictor variables and interaction terms Summary of the m1_interaction model m1 model comparison loo comparison bayes factor...
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Power motivations and sexual risk-taking
Table of contents Multi model with dopl and pni as predictor variables Multi model with dopl and pni as predictor variables and interaction terms m1 model comparison Correlation Power motivations and sexual risk-taking CodeShow All CodeHide All CodeView Source Published Invalid Date Show the code library(papaja) library(xtable) library(tidyr)...
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Clean Analysis Update
library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.1 ✔ stringr 1.4.1 ## ✔ readr 2.1.2 ...
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Experiment 1 Analysis Redux
library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.1 ✔ stringr 1.4.1 ## ✔ readr 2.1.2 ...
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Clean Analysis Update
Analysis Analysis Priors Demographics Section Demographic table Experiment_2_Analysis_DF$Gender <- as.factor(Experiment_2_Analysis_DF$Gender) demo_table_j <- d2 label(demo_table_j$Ethnic_Origin) <- "Ethnic Origin" table1(~ Gender + Age + Education + Ethnicity + Ethnic_Origin, data = demo_table_j) Overall(N=287) Gender Female 127 (44.3%) Ma...
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After meeting reanalyze
Analysis Analysis Priors Demographics Section Demographic table Experiment_2_Analysis_DF$Gender <- as.factor(Experiment_2_Analysis_DF$Gender) demo_table_j <- d2 label(demo_table_j$Ethnic_Origin) <- "Ethnic Origin" table1(~ Gender + Age + Education + Ethnicity + Ethnic_Origin, data = demo_table_j) Overall(N=287) Gender Female 127 (44.3%) Ma...
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Mediation, Moderation, after meeting results
Analysis Analysis Priors Demographics Section Demographic table Overall(N=287) Gender Female 127 (44.3%) Male 160 (55.7%) Age Mean (SD) 29.5 (9.89) Median [Min, Max] 26.0 [18.0, 78.0] Education Primary School 5 (1.7%) GCSEs or Equivalent 18 (6.3%) A-Levels or Equivalent 65 (22.6%) University Undergraduate Program 126 (43.9%)...
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First Year Annual Review Presentation
1st Year Annual Review Andrew Ithurburn 13/07/2020 Experiment 1: The present study The present exploratory study sought to investigate the interaction between spiteful behavior and level of justification of spiteful acts. Endorsements of spiteful acts tends to suggest the propensity to be more spiteful. Early investigations of spiteful behavi...
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