Visualising multilevel models: the Initial Analysis of Data
نویسنده
چکیده
This paper considers the use of the freeware package XLISP-STAT (Tierney, 1990) and the add-on package ARC (Cook and Weisberg, 1999) to explore multilevel data structures before more formal modelling. Exploratory data analysis (Chatfield, 1988) is regarded as an essential before further analysis. XLISPSTAT is highly interactive and with ARC can be used to investigate multilevel structures graphically. This feature is used to demonstrate how exploratory analysis can be carried out for a range of multilevel models including those with binary or ordinal outcome variables. The advantages of this software are that it can be used to identify potential outliers before models are fitted and it is also possible to decide on suitable models for a more formal multilevel analysis. Note: Many of the plots in this paper use colour. This paper can be viewed on the web at the following location: http://ital.ucles-red.cam.ac.uk/ Visualising multilevel models: the Initial Analysis of Data
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