The SAGE Quantitative Research Kit
1st Edition
Published on 8. May 2020
Book
978-1-4739-7787-7 (ISBN)
Description
The SAGE Quantitative Research Kit is the essential toolbox for your quantitative research needs. From survey research to multilevel modeling, the books provide clear, concise and digestible explanations of the key theories, methods and techniques relevant to quantitative research today. Curated and written by leading academics in the field, they offer practical, hands-on guidance on how to conduct your research project and make the most out of your findings, in turn giving you the confidence needed to succeed.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
ISBN-13
978-1-4739-7787-7 (9781473977877)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Persons
Malcolm Williams is Professor and Codirector of the Cardiff Q-Step Centre for Quantitative Methods pedagogy. Until July 2014, he was the Director of the School of Social Sciences, at Cardiff, and prior to this Professor of Social Research Methodology at Plymouth University. He is the author/editor of nine books and over a hundred articles/chapters. His primary research interest has been around methodological and philosophical issues in social research, particularly objectivity, probability, causality, and representation. His most recent book Key Concepts in the Philosophy of Social Research was published by SAGE in 2017. His past empirical research has included the measurement of homeless populations (using capture-recapture) and the analysis of longitudinal census data to explore household formation/dissolution and counterurbanisation migration. In the last few years, his primary research interest has been in the pedagogy of quantitative methods.
Richard D. Wiggins is an Emeritus Professor in the Centre for Longitudinal Studies, which is part of the newly formed UCL Social Research Institute. He joined the Institute of Education, University of London as Chair of Quantitative Social Science in 2007 and Head of the Department Quantitative Social Science.
From 2011 until 2013 he was Director of Methodology in the Centre for Longitudinal Studies, thereafter returning to his work as a researcher, doctoral supervisor and teacher. Prior to joining the Institute he ran a successful Master's programme in Social Research Methods and Statistics at City University, London. His early career included working in local and central government, epidemiological psychiatry and community medicine.
His methodological interests include the longitudinal analysis of secondary data, survey design, attitude measurement and sampling methodology. His substantive research covers the impact of secondary schooling on adult outcomes, political trust, ageing and well-being. D. Betsy McCoach, Ph.D., is professor of Research Methods, Measurement, and Evaluation in the Educational Psychology department at the University of Connecticut, where she teaches graduate courses in Structural Equation Modeling, Multilevel Modeling, Advances in Latent Variable Modeling, and Instrument Design. Dr. McCoach has co-authored over 100 peer-reviewed journal articles, book chapters, and books, including Instrument Design in the Affective Domain and Multilevel Modeling of Educational Data. In 2011, Dr. McCoach founded the Modern Modeling Methods conference.
Dr. McCoach is co-Principal Investigator for the National Center for Research on Gifted Education and has served as Principal Investigator, co-Principal Investigator, and/or research methodologist for several other federally-funded research projects/grants.
Dr. McCoach's research interests include latent variable modeling, multilevel modeling, longitudinal modeling, instrument design, and gifted education.
Richard D. Wiggins is an Emeritus Professor in the Centre for Longitudinal Studies, which is part of the newly formed UCL Social Research Institute. He joined the Institute of Education, University of London as Chair of Quantitative Social Science in 2007 and Head of the Department Quantitative Social Science.
From 2011 until 2013 he was Director of Methodology in the Centre for Longitudinal Studies, thereafter returning to his work as a researcher, doctoral supervisor and teacher. Prior to joining the Institute he ran a successful Master's programme in Social Research Methods and Statistics at City University, London. His early career included working in local and central government, epidemiological psychiatry and community medicine.
His methodological interests include the longitudinal analysis of secondary data, survey design, attitude measurement and sampling methodology. His substantive research covers the impact of secondary schooling on adult outcomes, political trust, ageing and well-being. D. Betsy McCoach, Ph.D., is professor of Research Methods, Measurement, and Evaluation in the Educational Psychology department at the University of Connecticut, where she teaches graduate courses in Structural Equation Modeling, Multilevel Modeling, Advances in Latent Variable Modeling, and Instrument Design. Dr. McCoach has co-authored over 100 peer-reviewed journal articles, book chapters, and books, including Instrument Design in the Affective Domain and Multilevel Modeling of Educational Data. In 2011, Dr. McCoach founded the Modern Modeling Methods conference.
Dr. McCoach is co-Principal Investigator for the National Center for Research on Gifted Education and has served as Principal Investigator, co-Principal Investigator, and/or research methodologist for several other federally-funded research projects/grants.
Dr. McCoach's research interests include latent variable modeling, multilevel modeling, longitudinal modeling, instrument design, and gifted education.