Publications by Samah
LEVANTE EF measures
Data loading library(tidyverse) library(glue) library(here) here() starts at /Users/mcfrank/Projects/levante-pilots library(mirt) Loading required package: stats4 Loading required package: lattice library(ggrepel) # require(arm) library(lavaan) This is lavaan 0.6-19 lavaan is FREE software! Please report any bugs. library(tidySEM) Loading ...
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Document
Table of contents Students per school and grade/age Load all scores Distributions across all schools Distributions by school Save distribution files Percentiles across grades Score Reports Author LEVANTE DCC Team Published November 30, 2024 Code library(tidyverse) library(here) here() starts at /Users/mcfrank/Projects/levante-pilots Code ...
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Longitudinal peekbank
Table of contents Descriptives of the longitudinal data Q1: age-related changes in the latent score 1 factor approach 2 factor approach 3 factor approach Q2: Does RT relate to growth in vocabulary? Draft 1: with LMERs Draft 2: latent change scores Draft 3: discrete variables Draft 4: Another version of coupled change Draft 5: Adding vocab to th...
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peekbank CFA
Table of contents Full dataset EFA CFA Alternative models Speed/accuracy separate Variation separated CDI vs. LWL No comprehension Without variances Fit models with dataset grouping Factor analysis library(tidyverse) library(lavaan) Warning: package 'lavaan' was built under R version 4.3.3 This is lavaan 0.6-18 lavaan is FREE software! Pl...
2565 sym Python (78762 sym/113 pcs) 8 img
LEVANTE CO ToM data
source(here::here("assessment/colombia/stage2/_setup.R")) here() starts at /Users/mcfrank/Projects/levante-pilots Loading required package: stats4 Loading required package: lattice tom <- read_rds(file = here("assessment","colombia","stage2","task_analyses","data","tom_data.rds")) Note that our ToM data structure probably needs some work. tom...
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Hurdle Model Simulation
Hurdle Model Simulations library(lme4) Loading required package: Matrix library(GLMMadaptive) Attaching package: 'GLMMadaptive' The following object is masked from 'package:lme4': negative.binomial library(tidyverse) library(tictoc) # timing library(multidplyr) # parallelization library(beepr) # beeps We’re going to do a simulation on...
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ManyNumbers Small Sets Pilot Analysis
Contents Intro Preprocessing and loading Loading Preprocessing Difference score approach Models Search choice Plots Models Exploring models with simpler parameterization Search time Plots Models Hurdle models Conclusions Analysis comments Design comments ManyNumbers Small Sets - Pilot Data Analysis Intro This markdown is an exploration ...
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Random effects meta-analysis
library(tidyverse) library(readxl) library(metafor) ## Loading required package: Matrix ## ## Attaching package: 'Matrix' ## The following objects are masked from 'package:tidyr': ## ## expand, pack, unpack ## Loading required package: metadat ## Loading required package: numDeriv ## ## Loading the 'metafor' package (version 4.2-0). For an #...
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EALS study 2
library(tidyverse) library(here) ## here() starts at /Users/mcfrank/Projects/eals library(lme4) ## Loading required package: Matrix ## ## Attaching package: 'Matrix' ## The following objects are masked from 'package:tidyr': ## ## expand, pack, unpack Read data. d <- read_csv(here("study2","EALS_study2_concatenated_allwaves.csv")) ## Rows: 123...
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Visual Vocab Choice Model
Visual Vocab Choice Model Model of word recognition Let’s assert a model of word recognition for some target and distractor \({t,d} \in O\). We want to compute \(p(t | w)\), the probability of the particular target given the word. By Bayes’ rule, \[ \begin{align} p(t | w) &=& \frac{p(w | t) p(t)}{\sum_{o \in {t,d}}{p(w | o) p(o)}}\\ &=& \frac{...
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