Transcription of The Basic Two-Level Regression Model
{{id}} {{{paragraph}}}
Example: bankruptcy
The Basic Two-Level Regression Model
14:20:25:01:10 Page 11 Page 112 The Basic Two-Level Regression ModelThe multilevel Regression Model has become known in the research literature under avariety of names, such as random coefficient Model (de Leeuw & Kreft, 1986; Long-ford, 1993), variance component Model (Longford, 1987), and hierarchical linearmodel (Raudenbush & Bryk, 1986, 1988). Statistically oriented publications tend torefer to the Model as a mixed-effects or mixed Model (Littell, Milliken, Stroup, &Wo lfinger, 1996). The models described in these publications are not exactly the same,but they are highly similar, and I will refer to them collectively as multilevel regressionmodels . They all assume that there is a hierarchical data set, with one single outcomeor response variable that is measured at the lowest level, and explanatory variables atall existing levels .
14:20:25:01:10 Page 11 Page 11 2 The Basic Two-Level Regression Model The multilevel regression model has become known in the research literature under a
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: