Traditionally, research regarding the experiences of families who use in-vitro fertilization (IVF) focus on the childbearing perspective highlighting the stress and uncertainty that comes with wanting to become a mother and/or parent (Clifton et al., 2020; Ye et al., 2025). There are minimal studies focusing on the mental strain men and partners endure with the fertility process (Ye et al., 2025). Therefore, this study explores the lived experiences of the non-childbearing partner.
Directly measuring emotional state using latency difference of millisecond responses to depressive (D) vs. non-depressive (ND) words can overcome self-report limitations. Cross-sectional (n=682) data show two factors (D=15 items σ²≈11%; ND=12 items σ²≈11%), sensitivity .73, specificity .91, predictive and concurrent validity with PHQ-9/CES-D (p<.001). A longitudinal sample (n=97): replicates and extends validity; inversely tracks wellbeing; has good reliability (test-retest=.6; Cronbach's α≈.7).
This session provides a step-by-step guide for developing observation tools in counseling, education, and community settings. Participants will learn how to move from theory to observable indicators, design domains and rating systems, and establish rigor through expert review, pilot testing, and interrater reliability. An arts-based classroom observation tool is used as a practical example to illustrate each step.
With an evolving educational and healthcare landscape, it is becoming more critical for counselors to hold a unified, strong professional identity. This poster presentation summarizes the results of a qualitative investigation on how early counselor trainees’ (N = 48) CPI evolved over a semester in an introductory counseling course. In particular, we present a thematic analysis of how the counselor trainees’ responses developed their CPI over five data collection points.
Adverse childhood experiences (ACEs) are associated with negative mental health and developmental outcomes across the lifespan. This poster session presents the findings of a study using latent class analysis with a sample of emerging adult. Findings from the current study identified distinct ACE profiles and examined differences in life satisfaction, quality of life, resilience, and the features of emerging adulthood. Implications for research and practice will be highlighted.
Linear multiple regression (LMR) is among the most frequently used analyses in counseling research, yet scientific reports often underreport critical details to establish scientific rigor. We will review the importance of statistical power, measurement precision, and model assumptions in relation to LMR. We report the results of a 5-year content analysis of these features across ACA-family journals and provide guidance for testing, assessing, and addressing each to ensure defensible results.
