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HLM Behind the Curtain: Unveiling Decisions Behind the Use and Interpretation of HLM in Higher Education Research
by
Inkelas, Karen Kurotsuchi
, Niehaus, Elizabeth
, Campbell, Corbin M.
in
Academic grades
/ College students
/ Colleges
/ Data Analysis
/ Decision support systems
/ Dormitories
/ Education
/ Educational environment
/ Educational Research
/ Hierarchical Linear Modeling
/ Higher Education
/ Modeling
/ Quality of education
/ RESEARCH AND PRACTICE
/ Statistical variance
/ Student dormitories
/ Studies
/ Universities
2014
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HLM Behind the Curtain: Unveiling Decisions Behind the Use and Interpretation of HLM in Higher Education Research
by
Inkelas, Karen Kurotsuchi
, Niehaus, Elizabeth
, Campbell, Corbin M.
in
Academic grades
/ College students
/ Colleges
/ Data Analysis
/ Decision support systems
/ Dormitories
/ Education
/ Educational environment
/ Educational Research
/ Hierarchical Linear Modeling
/ Higher Education
/ Modeling
/ Quality of education
/ RESEARCH AND PRACTICE
/ Statistical variance
/ Student dormitories
/ Studies
/ Universities
2014
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Do you wish to request the book?
HLM Behind the Curtain: Unveiling Decisions Behind the Use and Interpretation of HLM in Higher Education Research
by
Inkelas, Karen Kurotsuchi
, Niehaus, Elizabeth
, Campbell, Corbin M.
in
Academic grades
/ College students
/ Colleges
/ Data Analysis
/ Decision support systems
/ Dormitories
/ Education
/ Educational environment
/ Educational Research
/ Hierarchical Linear Modeling
/ Higher Education
/ Modeling
/ Quality of education
/ RESEARCH AND PRACTICE
/ Statistical variance
/ Student dormitories
/ Studies
/ Universities
2014
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HLM Behind the Curtain: Unveiling Decisions Behind the Use and Interpretation of HLM in Higher Education Research
Journal Article
HLM Behind the Curtain: Unveiling Decisions Behind the Use and Interpretation of HLM in Higher Education Research
2014
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Overview
Hierarchical linear modeling (HLM) has become increasingly popular in the higher education literature, but there is significant variability in the current approaches to the conducting and reporting of HLM. The field currently lacks a general consensus around important issues such as the number of levels of analysis that are important to include and how much variance should be accounted for at each level in order for the HLM analysis to have practical significance (Dedrick et al., Rev Educ Res 79:69–102, 2009). The purpose of this research is to explore the use of a 3-level HLM model, appropriate contextualizing of results of HLM, and the interpretation of HLM results that resonates with practice. We used an example of a 3-level model from the National Study of Living Learning Programs to highlight the practical issues that arise in the interpretation of HLM within a higher education context.
Publisher
Springer,Springer Netherlands,Springer Nature B.V
Subject
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