Measuring Student Performance: Multivariate Approach

Production Function in education uses linear regression, correlation, or multivariate-discriminant analysis to indicate the relationship between one set of educational input and one set of output. In reality, because of the multidimensional nature of educational settings, more advanced Production Function model-building, involving the selection of a set multiple educational inputs and a set of multiple outputs, should be used. Little empirical research has been reported to establish the nature of the relationships between multiple educational inputs and various measures of student achievement using production function methods. This book provides in-depth methodological approach for analyzing various school level inputs and the performance of students using a combination of multivariate statistical approaches. The intent is to elicit advanced methodologies, robust inferences and conclusions to inform decisions on allocative effeciencies in education. The content is also intended for doctoral candidates and supervisors to guide the research and dissertation-writing process while opening up questions for further studies in the area of education production and effectiveness measures.

Autorentext

Olajide Agunloye is a Fulbright Senior Specialist Scholar and university professor of Education Administration at Georgia Regents University, Augusta, Georgia, USA. He has years of experience as a researcher and educator. He consults with education agencies in various parts of the world and researches on Comparative and International Education.