Research breakdowns, practical implementation notes, and opinionated takes from real-world data and AI work.
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Day 105
Example Regression Line given by Yij = 41.13 + 2.4801 IQij + 1.029 IQ (meanj) + Uoj + U1j IQij + RijStandard…
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Day 104
Question 1 Compare the Multiple Linear Regression (MLR) and Random Intercept Model (RIM). Example Answer MLR RIM Question 2 Provide two conditions…
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Day 102
Hierarchical Linear Model Advance from Random Intercept Model (simple case of hierarchical linear model) by introducing random slopes. RIM handle group difference…
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Day 101
Example Number of students is M = 3758Number of schools is N = 211Standard Deviation = 2.04 Using Y (Language Score) group…
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Day 100
Random Intercept Model aka Ordinary Least Square (OLS) model Some brief introduction, before start. Fixed Effect (Taken only 1 group, level 1)…
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Day 99 (2), 101 (2), 103
Question 1 Discuss the disadvantages of “aggregation” Example Answer When we are using aggregation, the detail about the data point or micro…
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Day 99
Disaggregation Disaggregation lead to “miraculous multiplication of the number of units” Suppose we want to understand “do new judges tend to give…
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Day 98 (2)
Statistical Treatment of Clustered Data First step is to understand relationship between independent observation in a single classroom, or intraclass correlation. Second…
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Day 98
Question 1 Discuss “dependence as a nuisance”. Example Answer Student motivation level depends on teacher experience. Hypothesis teacher perform well in the…
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Day 97
Variable Proposition In this case, interested effect of teacher efficacy (Z) on pupil motivation (y) controlling pupil aptitude (x). ps. Put it…
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Day 96
Data collected interpretation might have been wrong. One household is independent to other household; using simple random sampling. All single units in…
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Day 95
Question 1 Mixed effect model is a statistical method used in ANOVA and regression. Discuss the similarity between ANOVA and regression. Example…
Kim 2 ML 