Fixed Coefficients (generalized linear mixed models)

1. Click the Fixed Coefficients view thumbnail.

   This is a visualization of the traditional parameter estimates table.

   

2. From the Style dropdown of the Coefficients view, select Table.
3. In the parameter estimates table, click the Coefficient cell. This displays the standard error, t statistic, and confidence interval.

This is the traditional parameter estimates table for the overall model and individual effects. The coefficients show the relationship of each model parameter to Post-test score. For a continuous field, the coefficient is the expected change in test score for a unit increase in the value of the continuous field. For example, the value of 0.001 for n_student (Number of students in the classroom) means that, all other things being equal, we would expect the test score of a student in a classroom with 16 students to be 0.001 points higher than the score of a student in a classroom with 15 students.

For the categorical fields in this model, the coefficient is the expected change in test score relative to the reference category of the categorical field. The reference category is the last (highest valued) category, marked as redundant (meaning that the parameter is equal to a linear combination of other parameters in the model), and its coefficient value is set to 0. For example, the reference category for school_setting (School setting) is school_setting=3 , and the value of 4.724 for school_setting=2 means that, all other things being equal, we would expect the test score of a student at a suburban school to be 4.724 points higher than a student at a rural school.

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