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Today’s l eftovers

Today’s l eftovers. Assumption checking in multi -level Cross- classified multi -level models The THKS data revisited Our exam data It’s the story that counts . 1. Assumption checking in multi -level analysis.

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Today’s l eftovers

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  1. Today’sleftovers • Assumptionchecking in multi-level • Cross-classifiedmulti-level models • The THKS data revisited • Ourexam data • It’s the story thatcounts ...

  2. 1. Assumptioncheckingin multi-level analysis • Check the standard regressionassumptionsusing “reg” (instead of xtreg or xtmixed) • Check the normality of the dummy set • Ifyou have “more thanoneGreek letter”, check theircorrelation

  3. 2. Cross-classifiedmulti-level models Variance at type: about 87% = 8587745/(8587745+206153+1104296) Variance at Dealer: About 2% = 206153/(8587745+206153+1104296)

  4. 3. The THKS data revisited <See the do-file online>

  5. 4. Ourexam data • Make surethatyouunderstandits content. • Practicewith the data at home. • You are NOTallowedtobring do-files withyou. • Last year’sexam is online (justto get a feel for the kinds of questions) <go toStatahere>

  6. 5. It’s the story thatcounts

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