Times of (post) health crisis, global unrest, and political turmoil, a reliance on conventional methods, which potentially lack radical imagination and future orientation, experimentation, and open-endedness, might not be enough. Furthermore, within the discourses of conventional qualitative inquiry, methodological subjects are often seen as…

Quantile regression (QR) provides an alternative to linear regression (LR) that allows for the estimation of relationships across the distribution of an outcome. However, as highlighted in recent research on the motherhood penalty across the wage distribution, different procedures for conditional and unconditional quantile regression (CQR, UQR)…

Machine learning (ML) has become commonplace in educational research and science education research, especially to support assessment efforts. Such applications of machine learning have shown their promise in replicating and scaling human-driven codes of students' work. Despite this promise, we and other scholars argue that machine learning has…

Randomized response techniques (RRTs) are useful survey tools for estimating the prevalence of sensitive issues, such as the prevalence of doping in elite sports. One type of RRT, the unrelated question model (UQM), has become widely used because of its psychological acceptability for study participants and its favorable statistical properties.…

Advancing equity is a major challenge facing education systems globally. This creates an imperative for researchers to work with policymakers and practitioners to affect change. There have been many attempts to do this using various forms of action-oriented research and a considerable body of knowledge exists about their strengths and limitations.…

Can transformation be the primary goal of autoethnographic research? In this book, the authors present a compelling case that this is indeed possible. Since autoethnography first appeared as a nascent approach to social inquiry, much has been written about it as a useful addition to the field of qualitative research methods. Over the years, its…

Participatory modeling (PM) is an engaged research methodology for creating analog or computer-based models of complex systems, such as socio-environmental systems. Used across a range of fields, PM centers stakeholder knowledge and participation to create more internally valid models that can inform policy and increase engagement and trust…

Purpose: The dual goals of this tutorial are (a) to increase awareness and use of mediation and moderation models in cognitive-communication rehabilitation research by describing options, benefits, and attainable analytic approaches for researchers with limited resources and sample sizes and (b) to describe how these findings may be interpreted…

This article examines the development of conceptual and theoretical frameworks through the lens of one doctoral student's qualitative dissertation. Using Ravitch and Carl's (2021) conceptual framework guide, each key component is explored, using my own dissertation as an example. Breaking down each framework section step-by-step, my journey…

Background: Within the context of the Special Interest Research Group (SIRG) on Persons with Profound Intellectual and Multiple Disabilities (PIMD), researchers often discuss the methodological problems and challenges they are confronted with. The aim of the current article was to give an overview of these challenges. Methods: The challenges are…

Research methods based on modelling and simulation (M&S) are gaining popularity among social scientists to study societal dynamics. Emphasising the importance of this research approach, the Department of Religion, Philosophy and History at the University of Agder initiated a methodology module to help students on the religious studies…

Existing research practices in gifted education have many areas for potential improvement so that they can provide useful, generalizable evidence to various stakeholders. In this article, we first review the field's current research practices and consider the quality and utility of its research findings. Next, we discuss how open science practices…

Interest in the study of gene-environment interaction has recently grown due to the sudden availability of molecular genetic data--in particular, polygenic scores--in many long-running longitudinal studies. Identifying and estimating statistical interactions comes with several analytic and inferential challenges; these challenges are heightened…

The evidence continuum is a five-domain model for building evidence through needs assessment, program theory, process evaluation, outcomes and impact evaluation, and optimization studies. In this conceptual article, the first two domains of the evidence continuum are used to design a learner centered course on advanced research methods, and…

Client-Focused Research (CFR) offers an approach to teaching research methods that brings classes into a professional environment by working directly with nonprofit or public sector clients. Students work with clients to define the scope of the research project, design the research methodology, create data collection instruments, gather and…