Multilevel model: Difference between revisions

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level 2 equation
simple example
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When there is a single level 1 independent variable, the level 1 model is:
 
<math> Y_{ij} = \beta_alpha_{0jij} + \beta_{1jij} X_{ij} + e_{ij}</math>
 
*<math>Y_{ij} </math> refers to the score on the dependent variable for an individual observation at Level 1 (subscript i refers to individual case, subscript j refers to the group).
*<math>X_{ij} </math> refers to the Level 1 predictor.
*<math>\beta_alpha_{0jij} </math> refers to the intercept of the dependent variable for individual case i in group j (Level 2).
*<math> \beta_{1j}</math> refers to the slope for individual case i for the relationship in group j (Level 2) between the Level 1 predictor and the dependent variable.
*<math> e_{ij}</math> refers to the random errors of prediction for the Level 1 equation (it is also sometimes referred to as <math>r_{ij}</math>).
 
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The dependent variables are the intercepts and the slopes for the independent variables at Level 1 in the groups of Level 2.
 
<math>\beta_alpha_{0jij} = \gamma_{00}gamma + u_{0jij}</math>
 
<math>\beta_{1jij} = \gamma_{10}delta + W_jW_{ij} \gamma_tau_{01ij} +u_v_{1jij} </math>
 
*<math>\gamma_{00}gamma</math> refers to the overall intercept. This is the grand mean of the scores on the dependent variable across all the groups when all the predictors are equal to 0.
*<math>W_jW_{ij}</math> refers to the Level 2 predictor.
*<math>\gamma_tau_{01ij}</math> refers to the overall regression coefficient, or the slope, between the dependent variable and the Level 2 predictor.
*<math>u_{0j}</math> refers to the random error component for the deviation of the intercept of a group from the overall intercept.
*<math>\gamma_{10}delta</math> refers to the overall regression coefficient, or the slope, between the dependent variable and the Level 1 predictor.
*<math>u_v_{1jij}</math> refers to the error component for the slope (meaning the deviation of the group slopes from the overall slope).<ref name="Fidell" />
 
==Types of models==