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Table 2 Multilevel linear model for the prediction of (standardized) teaching performance scores

From: Investigating teaching performance in seminars; a questionnaire study with a multi-level approach

Parameter

B(SE)

df

t-value

p-value

Lower

Upper

Fixed effects

      

Intercept

0.025 (0.073)

31.00

0.345

0.732

-0.123

0.174

Student’s preparation

-0.055 (0.025)

603.93

-2.205

0.028

-0.104

-0.006

Content

0.212 (0.032)

626.62

6.547

< 0.001

0.149

0.276

Group interaction

0.418 (0.032)

620.00

13.225

< 0.001

0.356

0.480

Group size

-0.130 (0.042)

35.11

-3.079

0.004

-0.216

-0.044

 

VAR ( SE )

df

Wald Z

p- value

Lower

Upper

Random effects

      

Teacher intercept

0.126 (0.046)

1

2.710

0.007

0.061

0.260

Seminar group intercept

0.041 (0.022)

1

1.841

0.066

0.014

0.118

Student intercept

0.060 (0.025)

1

2.376

0.017

0.262

0.137

Residual

0.256 (0.026)

1

9.841

< 0.001

0.210

0.312

  1. The table shows regression coefficients (B) for fixed effects and variance estimates (VAR) with their associated standard errors (SE) along with t-tests and 95% confidence intervals (lower bound and upper bound) based on 751 questionnaires.