🙇 What will I learn?
- Empirical toolkit
- Tools for Data Collection/Analysis
📑 VL01 Empirical measuring
- 💭 Hypothesis
- 📏 Empirical Measuring
- 🏗 Experimental Design
- 🏋️ Simulated Work Task (SWTS)
- 🪖 Recruiting participants
📑 VL02 Surveys
- What is a 💬 Survey?
- How to recruit for surveys → 🪖 Recruiting participants
- Correct 📝 Survey Design
📑 VL03 Describing measurements
- What’s the 🍺 Simpson Paradox?
- ❎ Discrete Measurement Scale Vs. 💹 Continuous Measurement Scale
- How to describe data? → 💯 Numerical Measures
📑 VL04 Statistics
- 🎲 Probability VS 📊 Statistics
- What’s an 🎰 Event?
- What are 📊 Probability distributions?
- What does the 🍔 Law of large numbers say?
- What does the 🚫 Central Limit Theorem say and what are its implications?
- ✍️ Notation
- How to calculate the certainty that an estimate is true: ✔️ Confidence Intervals
- How do Boxplots work?
📑 VL05 Hypothesis testing
- 🧐 How to test the truth of a hypothesis?
- How to do 👨🔬 Hypothesis tests?
- → Chi-squared goodness-of-fit test and Hypothesis t-tests
- What are ⚖️ Significance tests?
- What are possible ☠️ Error types?
- 💭 Research Hypothesis Vs. 💭 Statistical Hypothesis
- What’s 💥 Effect Size and ⚠️ Standard error?
📑 VL06 Behavioral log data
- What is 🪵 Behavioral log data?
- How to get this data? → 🪵 Behavioral log studies
- Messy big data? → 🧹 Data cleaning
- Analyzing the data: 🍰 Data Partitioning
📑 VL08 Descriptive statistics
- What’s = Correlation?
- What’s → Causality
- How to deal with 🪧 Missing values?
- How to deal with 👽 Outlier values?
- How to measure 😌 Reliability?
📑 VL09 Regression
📑 VL10
- What are 🎙 Interviews?
- How to plan interviews?
- How to do an interview?
- How to transcribe an interview?
- What’s ✅ Informed consent?
📑 VL11 Naturalistic methods
- What is 👨👩👧👦 Ethnography and how to do it correctly?
- How to observe in a structured way?
- How do 📖 Diary studies work?
📑 VL12 Qualitative data
- How to do 🔎 Qualitative data analysis?
- What is a 🪨 Grounded theory?