๐ What will I learn?
- Empirical toolkit
- Tools for Data Collection/Analysis
๐ VL01 Empirical measuring
- ๐ญ Hypothesis
- ๐ Empirical Measuring
- ๐ Experimental Design
- ๐๏ธโ Simulated Work Task (SWTS)
- ๐ช Recruiting participants
๐ VL02 Surveys
- What is a ๐ฌ Survey?
- How to recruit for surveys โ ๐ช Recruiting participants
- Correct ๐ Survey Design
๐ VL03 Describing measurements
- Whatโs the ๐บ Simpson Paradox?
- โ Discrete Measurement Scale Vs. ๐น Continuous Measurement Scale
- How to describe data? โ ๐ฏ Numerical Measures
๐ VL04 Statistics
- ๐ฒ Probability VS ๐ Statistics
- Whatโs an ๐ฐ Event?
- What are ๐ Probability distributions?
- What does the ๐ Law of large numbers say?
- What does the ๐ซ Central Limit Theorem say and what are its implications?
- โ๏ธ Notation
- How to calculate the certainty that an estimate is true: โ๏ธ Confidence Intervals
- How do Boxplots work?
๐ VL05 Hypothesis testing
- ๐ง How to test the truth of a hypothesis?
- How to do ๐จโ๐ฌ Hypothesis tests?
- โ Chi-squared goodness-of-fit test and Hypothesis t-tests
- What are โ๏ธ Significance tests?
- What are possible โ ๏ธ Error types?
- ๐ญ Research Hypothesis Vs. ๐ญ Statistical Hypothesis
- Whatโs ๐ฅ Effect Size and โ ๏ธ Standard error?
๐ VL06 Behavioral log data
- What is ๐ชต Behavioral log data?
- How to get this data? โ ๐ชต Behavioral log studies
- Messy big data? โ ๐งน Data cleaning
- Analyzing the data: ๐ฐ Data Partitioning
๐ VL08 Descriptive statistics
- Whatโs = Correlation?
- Whatโs โ Causality
- How to deal with ๐ชง Missing values?
- How to deal with ๐ฝ Outlier values?
- How to measure ๐ Reliability?
๐ VL09 Regression
๐ VL10
- What are ๐ Interviews?
- How to plan interviews?
- How to do an interview?
- How to transcribe an interview?
- Whatโs โ Informed consent?
๐ VL11 Naturalistic methods
- What is ๐จโ๐ฉโ๐งโ๐ฆ Ethnography and how to do it correctly?
- How to observe in a structured way?
- How do ๐ Diary studies work?
๐ VL12 Qualitative data
- How to do ๐ Qualitative data analysis?
- What is a ๐ชจ Grounded theory?