The Session Evaluation Questionnaire (SEQ) was used to measure the perspectives of 17 novice counselors and their 72 clients on 942 individual counseling sessions along two evaluative dimensions-depth and smoothnessand two dimensions of postsession mood-positivity and arousal. A components-of-variance analysis showed that, from both perspectives, SEQ ratings varied greatly from session to session; ratings were only modestly predictable from differences among counselors or among counselor-client dyads. However, averages across 6-10 sessions would permit adequately reliable differentiation among dyads-for example, for comparisons with outcome measures.-Correlations Between corresponding counselor and client dimensions ranged from moderate to negligible, whether calculated across sessions, across clients, or across counselors. Novice counselors' judgments of session depth and value may bear little relation to their clients' evaluations. On the other hand, counselors' comfort in sessions and postsession positive mood were moderately predictive of client reactions.

The Session Evaluation Questionnaire measures two dimensions of participants' perceptions of psychotherapy sessions, depth and smoothness, and two dimensions of post-session mood, positivity and arousal. In ratings by therapists and in ratings by clients, the same dimensions were identified as underlying variation across sessions and variation across clients. Thus these 'impact' dimensions can be used for session-level comparisons with process variables and for client-level comparisons with outcome variables, possibly permitting two-stage inferences from process to impact to outcome.

The authors present the results of a survey of 144 clinicians who evaluate and treat child referral cases. The data include an update and overview of various conceptual and practical approaches found useful by respondents. One important finding was the identification of a number of significant differences in conceptual and practical approaches between respondents who were primarily individually oriented versus those who were family oriented in their approach to treatment. The implications of these differences for how therapists choose to evaluate and treat child referral cases are discussed.

As community-oriented programs move from intervention to infrastructure, questions of just and equitable access to that infrastructure both arise and become more consequential to those served. However, extant tools are general in scope, often undertested, and inconsistently linked with positive outcomes for served communities and service providers. We explore the dynamics and implications of a key tool within this infrastructure intended to enable portable collaboration across organizations serving those who are experiencing homelessness: the VI-SPDAT (Vulnerability Index -Service Prioritization Decision Assistance Tool). This tool, while providing a means of coordinated assessment, must itself be negotiated according to the values, data concerns, and goals of the agencies and service providers who make use of it. This paper reports findings from 29 interviews with individuals working in nonprofits, charities, and government agencies that provide services or resources to people experiencing homelessness within the City of Austin's Continuum of Care. The life-and-death stakes of the VI-SPDAT, which is designed to prioritize access to services based in part on a prediction of potential for premature mortality, drive home the need for equitable and just infrastructure.

Governmental and organizational policy increasingly claims to be data-driven, data-informed, or knowledge-driven. We explore the data practices of local governments and nonprofits a seeking to end homelessness in the City of Austin. Drawing on 31 interviews with stakeholders, alongside the reflections and experiences of our interdisciplinary, cross-sector collaborative team, we consider the role of data in guiding and informing interventions and policy regarding homelessness. Ending homelessness is a particularly challenging scenario for intervention, with increasing politicization, changing circumstances, and needing rapid intervention to reduce harm. In exploring some implications of data science "in the wild" as it is deployed, understood, and supported within the Travis County Continuum of Care (CoC), we analyze how data-intensive work connects and engages across disciplinary boundaries. Furthermore, we consider how data science and the iField can collaborate in addressing complex, social problems as advisors and partners with invested organizations.