Graduate enrollment management (GEM) is an area of enrollment management that focuses on graduate and professional education. GEM's responsibilities can include various functions such as strategic planning, marketing, recruitment and admissions, academic advising, financial aid, student services, retention, and alumni relations. The comprehensive structure of GEM puts a significant amount of pressure on enrollment managers as its unique interdependence model creates an environment where professionals must be cross-trained in several areas, manage through grey areas, cultivate relationships with personnel across the campus, accomplish department goals, support their student population, and all while staying in alignment with the institutional mission. Therefore, the purpose of this study was to explore GEM from an enrollment managers perspective. The theoretical framework that guided this study was interdependence theory, and examined the following research questions: (1) How do graduate enrollment managers explain their roles in their respective departments and at their institution? (2) How do graduate enrollment managers explain the factors influencing their work? (3) What key stakeholders do graduate enrollment managers identify as influencing their roles and their work? (4) How do graduate enrollment managers balance demands from these stakeholders? Seventeen graduate enrollment managers working at a large research university were interviewed in-depth. The …

This study examined the effectiveness of caregiver consultations in caregiver's child's play therapy process through a program evaluation lens. Archival data was used from a counseling clinic located in the central southwestern United States. Quantitative data was collected from caregiver who filled out assessments (PSI-4 and CBCL) about their child's progression through play therapy and both groups frequency of attendance. A regression analysis was used to determine if caregivers perceived changes from the initial session and up to 10 weeks later. Additionally, retention rates over a course of 60 weeks were analyzed. Key findings suggest there is a high dropout rate from play therapy between the initial session before 10 weeks. For those whose therapy extended up to 60 weeks, consultation attritions continued. Due to low attrition numbers the effect of caregiver filled out assessments was unable to be confirmed, but this study did show a need for an intervention focused on caregiver retention to reduce attrition rates. The body of this study shows how to thoroughly conduct a program evaluation based on a specific variable and provides suggestions for explaining evaluation findings to stakeholders.

Assessment is a core component of the counseling identity. While previous literature has explored child clinicians' attitudes and use of standardized assessment instruments, less is known about the assessment practices of counselors providing play therapy to young children. The purpose of this qualitative study was to explore the subjective experiences of counselors who regularly use standardized social, emotional, and behavioral tests in their play therapy practice. Eleven professional counselors in the United States who regularly used standardized tests in play therapy participated in this study. The primary researcher utilized a transcendental phenomenological approach within a social, constructivist paradigm, along with an adapted phenomenological data analysis method. Six major themes were identified: professional development journey, use of standardized tests to enhance play therapy process, considerations for implementation in play therapy, counselor theoretical orientation and standardized tests, challenges in using standardized tests in play therapy, and advocacy and social justice issues. Implications for counselor education, clinical practice, and social justice advocacy are provided, along with recommendations for future research.

This study replicated components from Babcock et al. (2013) by examining an Imago-based Safe Conversations (SC) workshop using Gottman's psychometrically established instruments for couple functioning. Participants were 28 married heterosexual couples (N = 56) with a mean age of 27.30 years (SD = 10.16), 89.3% non-Hispanic, 78.6% Black or African-American, 85.7% first time married, 75% with at least a bachelor's degree, and a median household income in the $100,000-150,000 range. Couples independently completed the online SC workshop, The Toolbox for Couples, within a 2-week timespan. For each of three variables regarding marital quality assessed at pre- and post-workshop—(a) marital friendship, (b) conflict management, and (c) marital adjustment—multilevel dyadic analysis was conducted for four outcomes: (a) overall Time*Gender interaction effect, (b) effect for women, (c) effect for men, and (d) interclass correlation between men and women. From pre- to post-test, participants improved on all three variables: Out of the 12 analyses, 11 yielded statistically significant improvement with one very large, six large, and five medium effects. Results suggested that women may benefit more or be more sensitive to the effect of marital friendship, conflict management may be more important to men, and whereas both distressed and non-distressed couples can benefit regarding …

Academic capital is composed of social processes that result in family knowledge of educational expectations, and strategies that result in a successful college experience. Often underrepresented and first-generation students lack a wealth of academic capital. This lack of knowledge may affect their college success. I used the Academic Capital Scale to research differences in academic capital in students attending a 2-year and a 4-year institution. To address differences in these two groups, I performed an independent samples t-test. The analysis was done with and without transformations (transformations were unsuccessful.) and both procedures yielded no statistical significance in mean academic capital scores. In addition, a Mann-Whitney U test was completed which also resulted in no statistically significant difference in mean rank of scores. I performed a logistic regression to determine whether academic capital could predict students' enrollment status (full time vs. part time). The model accounted for 2% of the variance in the enrollment status and the academic capital scores did not contribute significantly to the model, meaning they did not predict enrollment status. Finally, I ran a multiple regression to investigate if low socioeconomic status, gender identity, first-generation status, enrollment status, or race/ethnicity could predict students' academic capital score. The …