Mplus MLM

Multilevel Model (TWOLEVEL)

ClassMap Research Lab
βš™ μ„€μ •
πŸ“„ Syntax
πŸ“ BASIC
⚠ .inpκ³Ό .dat을 같은 폴더에
πŸ“Š VARIABLES
πŸ“‹ λ³€μˆ˜ μˆ˜μ€€ λΆ„λ₯˜
각 λ³€μˆ˜λ₯Ό Within(ν•™μƒμˆ˜μ€€), Between(ν•™κΈ‰μˆ˜μ€€), λ˜λŠ” μ–‘μͺ½ λͺ¨λ‘λ‘œ λΆ„λ₯˜ν•˜μ„Έμš”.
DV(μ’…μ†λ³€μˆ˜)λŠ” 보톡 μ–‘μͺ½ λͺ¨λ‘μ— λ°°μΉ˜λ©λ‹ˆλ‹€.
두 κ³³ λͺ¨λ‘μ— μ„ νƒλ˜μ§€ μ•Šμ€ λ³€μˆ˜λŠ” μžλ™μœΌλ‘œ μ–‘μͺ½ (Within+Between) λ°°μΉ˜λ©λ‹ˆλ‹€.
πŸ— WITHIN (Level 1 Β· 학생 μˆ˜μ€€) MODEL
DV(쒅속) ON IV(독립) 경둜 μ„€μ •
🏫 BETWEEN (Level 2 Β· ν•™κΈ‰ μˆ˜μ€€) MODEL
ν•™κΈ‰ μˆ˜μ€€ DV(쒅속) ON IV(독립) 경둜 μ„€μ •
Within DV의 랜덀 절편이 Betweenμ—μ„œ μ’…μ†λ³€μˆ˜κ°€ λ©λ‹ˆλ‹€.
예: Withinμ—μ„œ depr ON victim β†’ Betweenμ—μ„œ depr ON t_exp
βš™ 랜덀효과 μ„€μ •
Random Intercepts
DV 절편의 집단 κ°„ λ³€λŸ‰ μΆ”μ • (κΈ°λ³Έ)
Random Slopes
Within κ²½λ‘œκ³„μˆ˜μ˜ 집단 κ°„ λ³€λŸ‰ μΆ”μ •
⚠ 수렴이 μ–΄λ €μšΈ 수 있음
πŸ“€ OUTPUT OPTIONS
STANDARDIZED
ν‘œμ€€ν™” κ³„μˆ˜ 좜λ ₯
CINTERVAL
95% 신뒰ꡬ간
SAMPSTAT
κΈ°μˆ ν†΅κ³„ (ICC κ³„μ‚°μš©)