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Hierarchical linear modeling
 
 


 




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  Overview

Aims of this course

1. To introduce this modern statistical software package, which enables analysis of multi level data
2. To develop skills with which to analyze cross sectional and longitudinal data
3. To expose participants to lower level and upper level data

Who will benefit from the course?

This workshop is for you if you are involved in analyzing data within your organization. If you are involved in quantitative consumer research, you will benefit by learning new quantitative data analysis skills. If you are involved in qualitative research, you will expand your skills portfolio to include quantitative techniques. This workshop will also be valuable for consultants involved in assignments that produce quantitative data (e.g. usability tests, surveys and focus groups).

How will I benefit?

While most statistics software packages only function with individual data, HLM provides a more powerful solution for making predictions; from the group level to individual outcomes. For example, with this software, users can predict that leadership styles will influence individual effectiveness. Since each group has its own leadership styles, it has its own group data (upper level) while effectiveness is maintained at the individual data level(lower level). A similar phenomenon emerges in the school environment. Students at level 1, teachers at level 2 and the school at level 3. In sociology, neighborhoods function at level 2, while the individual functions at level 1. HLM software is able to see the relationships from upper level to lower level, and can also make predictions at the individual level.

 
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