For research findings to inform clinical practice and create systemic change, they must be accessible to practitioners and community members. Peer reviewed journal articles are limited in terms of accessibility and counseling researchers must consider diverse methods of knowledge dissemination for clinical practice to be informed by rigorous research. In this session, presenters will discuss varied ways to disseminate research including grant-funded professional development opportunities.
Counselors emphasize individualized treatment for diverse clients, but interventions are often guided by studies that assess average treatment effects. Causal machine learning provides a rigorous way to estimate who benefits most (or may be harmed) from specific interventions using clinical trial data, offering data-driven insights to achieve better individual outcomes. This session discusses the use of causal machine learning to support more precise, ethical, and client-centered practice.
Ableism remains underexamined in counselor education, often reduced to accommodation compliance over systemic change. This session shares results from a mixed methods study on counselor educators' understanding of ableism. While more training predicted higher confidence, confidence was not related to lower ableism. Qualitative themes revealed knowledge gaps and a pervasive accommodation focus. Attendees will gain concrete strategies for moving toward intentional, disability-affirming practices.
This session discusses multi-group interpretative phenomenological analysis (IPA) as a method for transnational counseling research. Extending traditional IPA, multi-group IPA uses different subsamples to explore shared and group-specific experiential themes, making it well-suited for research that focuses on counseling practice across national contexts. The session presents key procedures of multi-group IPA and uses a study of Chinese counselors across countries to illustrate its application.
Missing data can introduce bias and error, threatening the accurate interpretation of test scores. The presenter will review the threats of missing data to the accuracy of parameters and standards errors as well as strategies for appropriate handling it. Expressly, the presenter will discuss the importance of assessing the missingness mechanism and level of missing to accurately select the appropriate deletion or imputation procedure.
This session explores how artificial intelligence can be ethically and effectively integrated into counseling research. Attendees will examine practical applications of AI across qualitative and quantitative methods, including Q methodology, narrative inquiry, and survey design. Emphasis will be placed on preserving researcher reflexivity, trustworthiness & rigor, minimizing bias, and using AI as a tool to enhance human interpretation and meaning-making.
Artificial intelligence tools are rapidly entering counseling education and practice, yet many programs lack guidance for addressing them ethically. This session introduces a practical framework for developing AI literacy grounded in counseling ethics and professional identity. Participants will explore key AI concepts and strategies for critically evaluating AI-generated information used in research, assessment, and professional practice.
