Qualitative research has been strongly affected by the COVID-19 pandemic, highlighting the possibilities that Voice over Internet Protocol (VoIP) technologies such as Skype, WhatsApp, and Zoom offer to qualitative scholars. Based on the experience of using such technologies to collect qualitative data for our PhD studies, we present how we dealt…

Social science datasets usually have missing cases, and missing values. All such missing data has the potential to bias future research findings. However, many research reports ignore the issue of missing data, only consider some aspects of it, or do not report how it is handled. This paper rehearses the damage caused by missing data. The paper…

Realist evaluation (RE) is a research design increasingly used in program evaluation, that aims to explore and understand the influence of context and underlying mechanisms on intervention or program outcomes. Several methodological challenges, however, are associated with this approach. This article summarizes RE key principles and examines some…

One overarching question in scholarly methodological discussions on qualitative comparative approaches concerns how it is possible to compare and generalise deep insider knowledge across (nationally) specific contexts. The aim of this article is to propose a research strategy that both facilitates the comparison and theorisation of such knowledge…

Snowball sampling is generally seen as a highly effective sampling technique that allows for the study of difficult to reach or 'hidden' populations. It is also seen as a valuable tool for the study of particularly sensitive or private matters. As a result, it was chosen as the sampling method for a research study into illegal drug users over the…

This brief paper introduces a new approach to assessing the trustworthiness of research comparisons when expressed numerically. The 'number needed to disturb' a research finding would be the number of counterfactual values that can be added to the smallest arm of any comparison before the difference or 'effect' size disappears, minus the number of…

This paper explores the process of going back in qualitative longitudinal research (QLR) to gather later accounts of unfolding personal experiences. The design of interview-based QLR is usually premised on collecting data, over-time, around an unfolding experience or event. This design facilitates the establishment of an on-going research…

Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple times and the resulting estimates of the parameter(s) of interest are combined across the completed datasets, is becoming increasingly popular for handling missing data. However, MI can result in biased inference if not carried out appropriately or if the…