Publications by Samah
Shape Bias Meta
Preliminaries and data reading # additional libraries library("knitr") library("janitor") library("broom.mixed") library("lme4") library("emmeans") library("tidyverse") library("kableExtra") library("modelr") library("broom") library("nlme") library("meta") library("metafor") library(jtools) # Load jtools theme_set(theme_bw()) # reading the d...
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SK Pragmatics Analysis
This report covers 2017 data collection. The script has been revised in response to reviewer comments in Winter 2023. Data prep Libraries. library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ── ## ✔ ggplot2 3.4.0 ...
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Hybrid meetings
The paradox of hybrid meetings library(tidyverse) Hybrid meetings – some people joining remotely, some in person – seem like they are going to be great. They are a perfect compromise between the accessibility of remote meetings and the real-ness of in-person meetings. Yet in many cases they end up being terrible – worse than either of the a...
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YNMO Arabic CDI Short Form Percentiles
The goal of this markdown is to show potential percentile tables for the YNMO short form CDI data. Read in data. raw_ynmo <-suppressMessages(read_xlsx(path="raw_data/CDI YNMO Norm Collection Sept 2022.xlsx", sheet="Form responses 1")) removed_ynmo <-suppressMessages(read_xlsx(path="raw_data/CDI YNMO Norm Co...
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Diversity Rationales Study 8
library(lme4) ## Loading required package: Matrix library(car) ## Loading required package: carData library(knitr) library(viridis) ## Loading required package: viridisLite library(haven) library(tidyverse) library(GGally) ## Registered S3 method overwritten by 'GGally': ## method from ## +.gg ggplot2 theme_set(theme_bw()) d <- read_sav...
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Document
Derivation This document summarizes our approach to deriving a standard model for early word learning. We begin with an item response theory model. The goal is to predict whether a particular child \(c\) will know a particular word \(w\), based on their learning rate \(\theta\) and age \(t\), and the word’s difficulty \(d\). This is a modified ...
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MB2 Pilot Data Analysis
suppressMessages(library(here)) suppressMessages(library(jpeg)) suppressMessages(library(grid)) suppressMessages(library(lmerTest)) ## Warning: package 'lme4' was built under R version 3.5.2 suppressMessages(library(car)) source(here::here("helper/common.R")) ## Warning: package 'purrr' was built under R version 3.5.2 ## ## Attaching package: '...
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KSJ2002 multiplicative/additive VSL
Reading and data cleaning sl <- read_csv(here("data/SLdata.csv")) ## Warning: Missing column names filled in: 'X1' [1] ## Parsed with column specification: ## cols( ## .default = col_double(), ## X1 = col_character(), ## AGE = col_logical() ## ) ## See spec(...) for full column specifications. d <- sl %>% rename(subnum = SUBNO, a...
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Psych 251 In Class Test 2020
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within t...
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FGGT data export corrections
Thanks to reproduction by Hartshorne et al., discovered a bug in the distributed data I believe that the code to tidy and create CSVs from the original data was flawed in particular, in de-identifying the subject IDs (yes, some were identifiable, I was young and inexperienced) I appear to have incorrectly renamed subjects, leading to redundancy. ...
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