Publications by Seamus Donnelly
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This page contains the analyses of the practice trials, for analyses of the test trials, clink this link 1 Preliminaries Open the libraries to be used throughout these analyses. library(eyetrackingR) library(ggplot2) library(psych) library(brms) library(tidyverse) library(patchwork) library(GGally) library(patchwork) library(wesanderson)...
3362 sym R (19968 sym/81 pcs) 4 img
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Here are the analyses without Spearman correlation’s coefficients. For analyses on the full data set click here. See R Markdown file for code used to open data set and calculated effect size variances etc. It prints kind of messy, and I have suppressed it from this HTML file. 1 Determining Baseline Model Fit baseline model to the full data set...
2410 sym R (22107 sym/138 pcs) 10 img
Dative_Priming_CrossSectional
library(brms) library(readxl) library(rmarkdown) library(tidybayes) library(ggplot2) library(tidyr) library(dplyr) library(GGally) library(ggpubr) library(tidybayes) library(patchwork) library(sjPlot) XSectional <- read_excel("DOD Priming Data Sheet_Wgender_May42020 (1).xlsx") 1 Some preliminary stuff 1.1 Missing data Invalid trials...
10536 sym R (227985 sym/211 pcs) 24 img 2 tbl
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These are the analyses for the dataset that only included Pearson’s R. For analyses including all effet sizes click here. See R Markdown file for code used to open data set and calculated effect size variances etc. It prints kind of messy, and I have suppressed it from this HTML file. 1 Determining Baseline Model Fit baseline model to the full...
2415 sym R (21307 sym/134 pcs) 10 img
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These are the analyses for the entire dataset. For analyses including only effect sizes based on Pearson’s R, click here. See R Markdown file for code used to open data set and calculated effect size variances etc. It prints kind of messy, and I have suppressed it from this HTML file. 1 Determining Baseline Model Fit baseline model to the full...
2415 sym R (21312 sym/134 pcs) 10 img
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library(wordbankr) # WB data library(tidyverse) # tidy library(mirt) # IRT models library(ltm) # more IRT functions #library(difr) # some differential item functioning tools. library(psych) # some psychometric stuff (tests of dimensionality) library(Gifi)# some more psychometric stuff (tests of dimensionality) library(knitr) # some format...
9927 sym R (17938 sym/79 pcs) 24 img 1 tbl
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library(wordbankr) # WB data library(tidyverse) # tidy library(mirt) # IRT models library(ltm) # more IRT functions library(psych) # some psychometric stuff (tests of dimensionality) library(Gifi)# some more psychometric stuff (tests of dimensionality) library(knitr) # some formatting, tables, etc library(patchwork) # combining plots. li...
10815 sym R (49317 sym/130 pcs) 30 img 1 tbl
48month Priming
1 Opening Files library(brms) library(readxl) library(writexl) library(rmarkdown) library(tidybayes) library(ggplot2) library(tidyr) library(dplyr) library(GGally) library(ggpubr) library(tidybayes) library(patchwork) library(sjPlot) library(lubridate) library(zoo) DOD_48mo <- read_xlsx("DOD_48mo_blind.xlsx") N_total <- nrow(DOD_48mo) # sanity c...
2342 sym R (55163 sym/120 pcs) 23 img 2 tbl
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1 Opening Files library(brms) library(readxl) library(writexl) library(rmarkdown) library(tidybayes) library(ggplot2) library(tidyr) library(dplyr) library(GGally) library(ggpubr) library(tidybayes) library(patchwork) library(sjPlot) library(lubridate) library(zoo) DOD_54mo <- read_xlsx("DOD_54mo_blind.xlsx") N_total <- nrow(DOD_54mo) # sanity c...
2609 sym R (142016 sym/194 pcs) 18 img 2 tbl
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1 Opening Files library(brms) library(readxl) library(writexl) library(rmarkdown) library(tidybayes) library(ggplot2) library(tidyr) library(dplyr) library(GGally) library(ggpubr) library(tidybayes) library(patchwork) library(sjPlot) library(lubridate) library(zoo) DOD_42mo <- read_xlsx("DOD_42mo_blind.xlsx") N_total <- nrow(DOD_42mo) # sanity c...
5039 sym R (51058 sym/110 pcs) 12 img 2 tbl