Workshop on Multilevel Models

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[size=+1]University of Oregon, College of Education Workshop on Multilevel Models

This workshop will provide an introduction to multilevel modeling.  Many social and natural phenomena have a nested or clustered organization that results in data with dependencies associated with group or cluster membership.  Hierarchical Linear Models (HLM) provide a method for correctly analyzing such data as well as a means to study relationships that cross levels. Workshop participants will learn foundational principles and concepts in HLM and will have hands-on practice using software to apply and interpret basic models.  The workshop will cover multilevel data structures, intraclass correlation, model building, centering, model testing, fixed and random effects, two and three level models, longitudinal growth models, statistical power and design planning, and the use of HLM in cluster randomized trials.[size=+1][size=+1] Please direct any questions to Joe Stevens at stevensj@uoregon.edu. Before the workshop, participants should: [size=+1]Read the following: Osborne, J. W. (2000). Advantages of Hierarchical Linear Modeling, PARE, available at:  http://pareonline.net/getvn.asp?v=7&n=1 Hox, J.  (1995).  Multilevel Analysis, Read chapters 1 and 2. Raudenbush & Bryk, 1986, Sociology of Education, available at:  http://www.uoregon.edu/~stevensj/HLM/raudenbush.pdf Willms & Raudenbush (1989). Longitudinal HLM study of school effects, available at:  http://www.uoregon.edu/%7Estevensj/AofC/willms&raudenbush.pdf Additional Resources: Goldstein, H. (1995). Multilevel Statistical Models Raudenbush, et al. (2007).  Strategies for improving precision.  Educational Evaluation and Policy Analysis. Hedges & Hedberg (2007). Intra-class correlation values for planning.  Educational Evaluation and Policy Analysis. [size=+1] [size=+1]Download a copy of the workshop PowerPoint slides for note taking in pdf format (one slide/page) or as multiple slides/page [size=+1]If you want to do hands-on activities in class: [size=+1]Download and install the free student version of HLM [size=+1]If you are interested in power in cluster randomization or HLM studies, download and install the Optimal Design Software [size=+1]If you want to participate in hands-on activities[size=+1], bring[size=+1] a laptop with wireless connectivity and install the HLM and optimal design

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关键词：Multilevel workshop Worksho models Level University natural provide levels method

University of Oregon, College of Education

Workshop -- Hierarchical Linear Models (HLM) Redux


This workshop will provide a series of examples of how multilevel modeling can be applied to a variety of research problems and questions.  An introduction to multilevel modeling will be followed by several demonstrations of the use of multilevel modeling methods to address different research problems.  Many social and natural phenomena have a nested or clustered organization.  Hierarchical Linear Modeling (HLM) provides a method for correctly analyzing such data as well as a means to study relationships that occur across levels. Workshop participants will learn foundational principles and concepts in HLM including model testing, fixed and random effects, parameter reliability, and empirical Bayes estimation.  Participants will see a variety of applications of HLM to research problems including estimation of the intraclass correlation coefficient, separating individual from school effects, the study of development and growth, and the use of HLM for meta-analysis.

Please direct any questions to Joe Stevens at stevensj@uoregon.edu.

Before the workshop, participants can:
Read the following:
Osborne, J. W. (2000). Advantages of Hierarchical Linear Modeling, PARE, available at:  http://pareonline.net/getvn.asp?v=7&n=1

Hox, J.  (1995).  Multilevel Analysis, Read chapters 1 and 2.

Raudenbush & Bryk, 1986, Sociology of Education, available at:  http://www.uoregon.edu/~stevensj/HLM/raudenbush.pdf

Stevens, J. J.  (2005). The study of school effectiveness as a problem in research design.  In R. Lissitz (Ed.), Value-added models in education:         Theory and applications.  Maple Grove, MN: JAM Press. http://www.uoregon.edu/~stevensj/workshops/Stevens.pdf

Willms & Raudenbush (1989). Longitudinal HLM study of school effects, available at:  http://www.uoregon.edu/%7Estevensj/AofC/willms&raudenbush.pdf

Download a copy of the workshop PowerPoint slides for note taking in pdf format (one slide/page) or as multiple slides/page

If you want to try HLM you can download and install the free student version of HLM