VU has several methodological training opportunities via the Research Professional Development calendar, including some on specific software. We also recommend signing up to the VU research info mailing list for further updates on researcher development (intranet sign-in required). Further enquiries can be directed to the Educational Research Advisor
Here is a list of specific methods applied in the higher education context:
General Higher Education research
Huisman, J., & Tight, M. (2016). Theory and method in higher education research. Emerald.
Perry, R. P., & Smart, J. C. (2007). The scholarship of teaching and learning in higher education : an evidence-based perspective. Springer.
Dewer, J 2018, The scholarship of teaching and learning: a guide for scientists, engineers, and mathematicians, Oxford University Press
Scholarship of Teaching and Learning (SotL) HERDSA online modules
Grounded theory - Draucker, C. B., Martsolf, D. S., Ross, R., & Rusk, T. B. (2007). Theoretical sampling and category development in grounded theory. Qualitative Health Research, 17(8), 1137-1148.
Sampling - Robinson, O. C. (2014). Sampling in interview-based qualitative research: A theoretical and practical guide. Qualitative Research in Psychology, 11(1), 25-41., van Rijnsoever, F. J. (2017). (I can’t get no) saturation: a simulation and guidelines for sample sizes in qualitative research. PLoS One, 12(7), e0181689.
Auto-ethnography - Herrmann, A. F. (Ed.). (2020). The Routledge International Handbook of Organizational Autoethnography. Routledge. (available via library request)
Conversation analysis - Sidnell, J., & Stivers, T. (2013). The handbook of conversation analysis. Wiley-Blackwell.
Practice-based theory - Hofmann, R. (2020). Dialogues with data: generating theoretical insights from research on practice in higher education. In Theory and Method in Higher Education Research. Emerald Publishing Limited.
Case studies - Grootenboer, P., Edwards-Groves, C., & Choy, S. (2017). Practice theory perspectives on pedagogy and education. Praxis, diversity, and contestation.
For studies using raters, observers or coders:
Inter-rater reliability - Gwet, K. L. (2014). Handbook of inter-rater reliability: The definitive guide to measuring the extent of agreement among raters. Advanced Analytics, LLC. (available on request)
Survey design - Fowler Jr, F. J., & Cosenza, C. (2009). Design and evaluation of survey questions. The SAGE handbook of applied social research methods, 375-412.
Validity and reliability of measures - Wagemaker, H (2020). Reliability and Validity of International Large-Scale Assessment. Springer.
Psychometrics: classical test theory, IRT, SET E-SEM - Marsh, H. W., Guo, J., Dicke, T., Parker, P. D., & Craven, R. G. (2020). Confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), and set-ESEM: optimal balance between goodness of fit and parsimony. Multivariate Behavioral Research, 55(1), 102-119., Carlson, J. E. (2020). Introduction to Item Response Theory Models and Applications. Routledge.
Power analysis - Nakagawa, S., & Foster, T. M. (2004). The case against retrospective statistical power analyses with an introduction to power analysis. Acta ethologica, 7(2), 103-108.
Mediation and moderation - Hayes, Andrew F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. New York, NY: The
Multi-level modelling - Gorard, S. (2003). What is Multi–level Modelling For?. British Journal of Educational Studies, 51(1), 46-63.
Causal modelling in longitudinal data - Zyphur, M. J., Voelkle, M. C., Tay, L., Allison, P. D., Preacher, K. J., Zhang, Z., ... & Diener, E. (2020). From data to causes II: Comparing approaches to panel data analysis. Organizational Research Methods, 23(4), 688-716., Morgan, S. L., & Winship, C. (2015). Counterfactuals and causal inference. Cambridge University Press.
Randomised controlled trials - Matthews, J. N. (2006). Introduction to randomized controlled clinical trials. CRC Press.
Implementation science - Soicher, R. N., Becker-Blease, K. A., & Bostwick, K. C. (2020). Adapting implementation science for higher education research: the systematic study of implementing evidence-based practices in college classrooms. Cognitive Research: Principles and Implications, 5(1), 1-15.
Meta-analysis - Bernard, R. M., Borokhovski, E., Schmid, R. F., Tamim, R. M., & Abrami, P. C. (2014). A meta-analysis of blended learning and technology use in higher education: From the general to the applied. Journal of Computing in Higher Education, 26(1), 87-122.
Mixed or multi-method
Integration - Clark, V. L. P. (2019). Meaningful integration within mixed methods studies: Identifying why, what, when, and how. Contemporary Educational Psychology, 57, 106-111.
Charting usage - Munoz-Najar Galvez, S., Heiberger, R., & McFarland, D. (2020). Paradigm wars revisited: A cartography of graduate research in the field of education (1980–2010). American Educational Research Journal, 57(2), 612-652.