MétaCan
Menu
Back to cohort
Record W7161938322 · doi:10.82308/44736

Where is the science in professional psychology?

2023· dissertation· en· W7161938322 on OpenAlexaboutno aff
Leah Beaulieu

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityProfessional psychologyQuality (philosophy)Professional developmentProfessional associationBridge (graph theory)Value (mathematics)Psychology of science

Abstract

fetched live from OpenAlex

The science-practice gap in psychology refers to the discrepancy between the availability of scientific evidence and its routine use in clinical practice (Cautin, 2011; Lilienfeld et al., 2013). This gap negatively affects the quality of psychotherapeutic services offered to the public and the credibility of professional psychology. Notable efforts have been made to bridge this gap, and several facilitators encouraging the use of science by professionals in psychology exist. However, there are also numerous attitudinal and practical barriers that hinder the ultimate integration of science and practice. Training opportunities are one of the important facilitators (e.g., Bearman, Wadkins, Bailin, & Doctoroff, 2015; Beck et al., 2014). However, little research has examined the quality of training opportunities that are offered to professionals in psychology post-graduation (i.e., continuing education (CE)). The first objective of the present thesis was thus to examine the extent to which CE workshops promote science-based practice. As such, Manuscript 1 presents a study in which we focus on the CE workshops offered and promoted by the psychology regulatory body in Quebec (i.e., l’Ordre des Psychologues du Québec (OPQ)). The results indicate that nearly half of the psychotherapies promoted in the OPQ-approved workshops are not yet supported with research. Not only does this potentially diminish the value of psychotherapy providers’ ongoing education, but this certainly contributes to the maintenance of the science-practice gap. The second objective of the present thesis was to develop a richer understanding of the attitudinal barriers maintaining the science-practice gap. In Manuscript 2, we were interested in how professionals in psychology perceive the value of science in psychotherapeutic practice. We conducted a first study, a scoping review, to gather the wide range of opinions and attitudes on this topic in the literature. We then conducted a second study, a survey, using the data from the scoping review. The survey focused on the Quebec population of psychotherapy providers. We were interested in determining if the opinions about the value of science in psychotherapy expressed in the literature were shared by the clinicians actively conducting psychotherapy in Quebec. Moreover, we wanted to examine if personal and professional characteristics (e.g., age, primary therapeutic approach, etc.) of respondents are related to their responses on the survey. Our results revealed important differences in how Quebec practitioners conceptualize the value of science in psychotherapy, compared to those writing the papers included in the scoping review. Moreover, this study identified ways in which science can become more valuable to psychotherapy, which are vital suggestions to be considered in solving the science-practice gap. Overall, this thesis examined the science-practice gap from different angles, while focusing especially on the Quebec population of psychotherapy providers and their regulatory body. The first manuscript reveals important issues in the quality of the CE trainings promoted by the OPQ. There is an opportunity to help bridge the science-practice gap if the OPQ considers revising the procedures currently in place to evaluate, accredit, and advertise these workshops. The second manuscript reveals how Quebec practitioners perceive the value of science in psychotherapy, how this value may be improved, and which personal and professional characteristics lead practitioners to rely more on science in their work. These findings allow us to make specific recommendations concerning the science-practice gap to the regulatory body responsible for these professionals. Implications for future research and the detailed recommendations based on our findings are discussed

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.090
metaresearch head score (Gemma)0.132
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score0.476

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0900.132
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0070.008
Science and technology studies0.0220.130
Scholarly communication0.0430.049
Open science0.0030.013
Research integrity0.0170.040
Insufficient payload (model declined to judge)0.0100.004

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.

Opus teacher head0.040
GPT teacher head0.459
Teacher spread0.418 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicAcademic and Historical Perspectives in PsychologyFrench-language works237,207