Summary
Multilevel models, or hierarchic-lineal models, are one of the most interesting models generated in recent years in quantitative research analysis methodologies. This article aims to present these models through their application in research. In this manner, the study presents an analysis of the foundations for multilevel models. The modeling process is analyzed in a real-life sample, concluding with a reflection about the contributions and utilities of this methodology of analysis.

Key words author
Multilevel Models,
Research Methodology, Educational Research, Statistical Analysis, School Efficacy

Key words plus
Educational Research, Scientific Methodology, Educational Efficiency, Statistical Analysis

Transference to practice
Multilevel models are the most appropriate analysis methodology for hierarchical data (for example, students in a class, or classes in a school), which makes it an indispensable strategy for quantitative educational research. Besides improving the quality of the results, it allows for innovative analyses, such as estimating the contribution of each level of analysis (the effect of the class or school) or the interactions between variables of different levels. In this manner, it is possible to realize better studies about associated factors, about aggregate value, or about educational equality, among others.