Journal article
Basic concepts of Hierarchical Linear Modelling (HLM) for educational technology research
British Journal of Educational Technology, Vol.42(3), pp.E51-E53
2011
Abstract
Increasingly, researchers are faced with nested and cross‐level data. For example, students are clustered within classrooms, classrooms are clustered within schools and schools are clustered within districts. However, most traditional statistical analyses assume that observations are independent of each other. When people are clustered within naturally occurring organisational units such as schools, classrooms or districts, the responses of people from the same cluster are likely to exhibit some degree of relatedness with each other. In other words, they are not independent of each other. The use of Hierarchical Linear Modelling (HLM) allows researchers to adjust for and model this non‐independence (McCoach, 2010)...
Details
- Title
- Basic concepts of Hierarchical Linear Modelling (HLM) for educational technology research
- Authors/Creators
- T. Teo (Author/Creator)
- Publication Details
- British Journal of Educational Technology, Vol.42(3), pp.E51-E53
- Publisher
- Wiley
- Identifiers
- 991005541100207891
- Copyright
- © 2011 The Author. British Journal of Educational Technology © 2011 Bera
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 9 Mathematics
- 9.92 Statistical Methods
- 9.92.332 Sampling Techniques
- Web Of Science research areas
- Education & Educational Research
- ESI research areas
- Social Sciences, general