List of Articles

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To help you navigate, here is a list of my articles based on content: 👇

Crash Course

Survey Data Analysis in R: A Crash Course

1. Analyzing Survey Data in R: A Crash Course (Part 1)
2. Analyzing Survey Data in R: A Crash Course (Part 2)
3. Analyzing Survey Data in R: A Crash Course (Part 3)

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Causal Inference

1. How to Explore the Effect of Doing Something: Applied Causal Inference 101 (Part 1)
2. How to Explore the Effect of Doing Something: Applied Causal Inference 101 (Part 2)
3. Why Is Correlation Neither Necessary Nor Sufficient for Causation?
4. Regression and Causal Inference: How Causal Graphs Helped Me Overcome 3 Key Misconceptions
5. Confounding Variable and Spurious Correlation: Key Challenge in Making Causal Inference
6. Endogenous Selection/Collider Bias: Another Key Issue in Causal Inference

Descriptive Statistics (Table & Data Visualization)

1. Create LaTeX Tables in R
2. Create Heatmap in R Using ggplot2
3. Create Line Charts in R Using ggplot2
4. Visualize Continuous Data with ggplot2 in R
5. Visualize Gapminder Data in R

Inferential Statistics

1. Statistical Significance: Are You Interpreting Correctly?
2. Confidence Interval: Are You Interpreting Correctly?
3. Why You Should Prefer Confidence Interval over p-value

Linear Regression

1. Understanding Regression Output: A Lesson for Absolute Beginners (Part 1)
2. Understanding Regression Output: A Lesson for Absolute Beginners (Part 2)
3. Regression and Causal Inference: Which Variables Should Be Added to The Model?
4. What Does It Mean to Control for A Variable in Regression?
5. Interpreting Regression Coefficient: Wish I Had Known This Before
6. Interpreting the Coefficients of a Regression with an Interaction Term: A Detailed Explanation

Behavior & Wellbeing

1. The Secret to Happiness: Where Buddhism and Behavioral Economics Meet
2. Unlocking the Secrets: Can Money Truly Buy Happiness?
3. Why Good People Clash: Dissecting Social Media Conflicts

Analyzing Data: Self Reflection

1. Analyzing Data in Social Science vs. Engineering: Key Differences to Keep In Mind
2. Five Reasons Why Statistics is So Hard to Learn