Dr Steve Humble MBE carries out research in sub Saharan Africa and India concerning parental choice and their children’s schooling. He also is an expert around analysing data from large samples using advanced statistical techniques using both STATA and SPSS. One example would be the use of discrete choice models (McFadden, 1974) to directly test large household data sets to see whether the parents’ preferences and demographics affect the choice of attending different school management types (Government, Low-cost Private, Faith Based Mission, Community and NGO schools). His PhD looked at children’s ability, creativity and motivation in poor parts of Kinondoni, Tanzania.

He was awarded an MBE, a grade within the British order of chivalry – Member of the Most Excellent Order of the British Empire for Services to Education in the 2016 New Year’s Honours List.

He supervises PhD and Masters students who wish to look at using mixed methods approaches with a focus on quantitative analysis.
Areas of Research / Professional Expertise
He is currently writing his new book 'Quantitative Analysis of Questionnaires. Techniques to explore structures and relationships' to be published in 2020.

In today’s world, choice has become part of our daily routine. From which coffee to order, which mode of transport to use to get to work or which University to attend the multitude of options makes for exciting decision making processes. Buying online has brought about the emergence of rating providers, sellers and products. This informs future would be market participants around quality, reliability and appropriateness. Therefore completing rating scales and questionnaires has become commonplace.

This book is for non-mathematical students with no prior knowledge of quantitative methods. It provides statistical approaches that are appropriate for in depth analysis of questionnaires. These include questionnaires that can be simple dichotomous, likert scale or stated and revealed preference choice. A range of techniques highlights how to explore and uncover what lies within the data to reveal structures and relationships that are not discovered through descriptive statistics. This accessible book will both illustrate and expand the reader’s understanding of the statistical techniques used in SPSS and STATA.