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Name: Madeline Craft

Type: User

Bio: I'm a PhD student in Quantitative Psychology at UC Davis. My expertise lies in addressing data quality issues common to people data.

Location: University of California, Davis

Blog: https://www.linkedin.com/in/madeline-craft-79818ab3/

Madeline Craft's Projects

204a_homework

This is a repository of the R code I wrote for 204A: Statistical Analysis of Psychological Data.

204b_homework

This is a repository of the R code I wrote for 204B: Causal Modeling of Correlational Data.

204d_homework

This is a repository of the R code I wrote for 204D: Advanced Statistical Analysis.

access_twitter_api

This is Python code for scraping tweets using Twitter's API and performing a sentiment analysis on the scraped tweets.

bayeslmmtutorial

Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html

beginner_analyst_tutorial

This R Markdown file is a tutorial for teaching the difference between point and interval estimates to beginning R analysts.

dental_trajectories

This is code for exploratory plots of the longitudinal dental dataset in R.

generating-evidence-based-guidance-for-analysts

The project provides guidance to analysts based on the results of a Monte Carlo simulation study evaluating the performance of a particular missing data handling method across a variety of conditions.

longitudinal_plots

This is code for visualizing longitudinal data. There are two types of plots: (1) empirical growth plots of a random subsample of individual trajectories, and (2) overlaid trajectories for a random subsample of individuals. The first is helpful for examining the within-individual variability and the second is helpful for the between-individual variability.

lsm_simulation

This R code simulates multilevel data with within-individual and between-individual variability for use in the evaluation of a location scale model.

mitigating-the-influence-of-missing-data

This project demonstrates that inaccurate conclusions may be drawn from partially observed data and proposes a strategy for mitigating such conclusions.

modules-for-teaching-bayes-to-diverse-audiences

This repository contains four hands-on modules designed to teach Bayesian skills to analysts of diverse educational backgrounds. All analyses are implemented via the R package brms (Bürkner, 2017).

ordinal-glb

This is code for calculating the greatest lower bound as a measure of internal consistency reliability. The greatest lower bound has been shown to be a better estimate of reliability than alpha.

proportion_simulation

This is code for simulating binomially distributed data: 10,000 replications of sample sizes 20, 25, 34, 50, and 100 for p = .5, p = .4, p = .3030, p = .20, and p = .10.

relationship-between-childhood-trauma-and-cortisol

This project explores the relationship between adverse childhood experiences and cortisol, finding that adverse childhood experiences predict dysregulated daily cortisol rhythms.

sem_scripts

This is code for fitting structural equation models using the lavaan package in R.

slcm

This is SAS code for fitting a structured latent curve model.

two-part_model

This is SAS code for fitting a two-part model in PROC NLMIXED by creating custom likelihood functions. There are two custom likelihoods: one for a binary distribution and another for a normal distribution.

understanding-youtube-user-engagement

This project evaluates the relationship between YouTube video comment engagement and sentiment and finds that positive sentiment increases engagement.

madelinecraft Goto Github PK

Madeline Craft's Projects

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