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Chapter 6: Vector Algebra
Figures to Accompany Chapter 6 of Wood "Understanding Structural Equation Models"
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Coursera JHU Data Science Capstone Project Slide Deck
This is the Slide Deck for the Capstone Project from Coursera and Johns Hopkins University Data Science Specialization. The goal for the Capstone Project is to create a Shiny App with a textbox that, using given data and like the keyboards from smartphones, produces three options for what the next typed word might be.
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Titanic: Understanding Factors for Survival
The goal of this work is to explore risk factors, and create a analysis for survival likelihood of an individual passenger on the ship Titanic which sunk in 1912. The sinking of the Titanic was one of the deadliest, most infamous shipwrecks in history. The Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. Many factors are involved in understanding who survived this shipwreck and why. In addition to sheer luck,some groups of people such as women, children, and the upper-class were more likely to survive than others. There are many systemic and social factors that contributed to being or becoming "Upper-Class" such as race, education, and more. The sinking of the titanic is a prime example of how privilege can compound, and continue to give benefit beyond expectation.
Capstone Group D
Assignment 8
Case Review
for Envista
Chapter 5: Regression Diagnostics
Chapter 5 discusses regression diagnostics, how they provide information about the reasonableness of model assumptions and possible remedies.
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Data Analysis
This project provides a comprehensive framework for data preparation and analysis, beginning with missing data handling, outlier detection, and reliability checks for Likert scale data. It then applies a range of statistical methods, including descriptive statistics, correlation, bivariate linear regression, chi-square tests, t-tests with effect sizes, and both parametric and nonparametric comparisons, such as ANOVA and the Kruskal-Wallis test. Supporting appendices detail test development, math anxiety measurement, statistical assumptions, diagnostic tools, and effect size computation in R. Overall, the project integrates careful data screening with diverse inferential techniques to ensure robust and interpretable results in psychological and educational research.