A mixed-method study of psychologists’ use of multicultural assessment.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite practice guidelines and ethical standards that provide imperatives for clinicians to utilize multicultural assessment (MCA), little is known about how the average psychologist actually conducts MCA. The current mixed-method study was designed to investigate clinicians’ training and use of MCA practice strategies. Participants were 239 (107 male, 131 female, 1 other gender) licensed psychologists residing in the United States and Canada who were recruited from the American Psychological Association practice directory to complete an online survey. Quantitative items on the survey included questions about the number and utility of MCA-related graduate courses and supervision experiences, and strategies and frameworks used when conducting MCA. Open-ended questions provided expansion about factors that were helpful and not helpful in graduate training experiences. Findings suggested that only 75% of participants had taken a course that included MCA-related content, but almost all of those participants found the material they learned to be helpful. Graduate courses with MCA-related content were perceived as more helpful than graduate supervision, and the most helpful aspects of courses and supervision were related to increasing knowledge and awareness about MCA. Almost 40% of the sample reported using no theory or framework for conducting MCA, and participants differed in their use of MCA strategies. Findings are discussed in relation to the training and continuing education of clinicians and future directions for research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it