TY - JOUR
AU - Rios-Aguilar, Cecilia
AB - [Within higher education research, both hierarchical linear models (HLM) and econometric panel models are commonly employed in studies examining multilevel data. These two statistical traditions are interesting to compare, because despite a number of underlying similarities, they differ in complementary but often confusing ways. The confusion arises from varying terminology and model presentation, which makes almost identical models appear different. Econometrics textbooks focus on how the multilevel structure can be exploited to advance overall causal inference, while HLM texts primarily highlight opportunities to examine heterogeneity across groups. This chapter highlights the core similarities between these two traditions so that HLM-trained researchers can use their existing knowledge base to read econometric-based articles and vice versa. By contrasting these approaches, this chapter helps applied higher education researchers learn the full range of benefits allowed by the advanced analysis of multilevel data.]
TI - Higher Education: Handbook of Theory and Research: Multilevel Analysis in Higher Education Research: A Multidisciplinary Approach
DA - 2011-03-11
UR - https://www.deepdyve.com/lp/springer-journals/higher-education-handbook-of-theory-and-research-multilevel-analysis-8QAOmXVtb2
DP - DeepDyve
ER -