Multilevel Analysis

Word multi refer to many time aka stages. Multilevel analysis focus nested source and complex data.

It has 2 components:

• macro data
• micro data

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Example

School (look at classes(grade 1, grade 2, grade 3)) vs
single class (look at pupils)

[school funding, policies vs student performance] vs
[teaching quality, classroom resources vs student performance]

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Firm (look at department (finance, it, procurement) vs
single department (look at employee)

[management style, team cohesion vs employee productivity] vs
[strategic focus, resource allocation vs employee productivity]

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To avoid incorrect conclusion in the analysis and avoid conclusion generally, take in account about specific sample out of the macro level

• contextual analysis
• mixed effects models

Contextual Analysis

class year 1 vs class year 2, conclude overall student score is impropriate because different age has different maturity. How to generalize the conclusion to avoid bias?

Mixed Effects Models

ANOVA + regression analysis; ANOVA take in account between and within groups