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Record W52798636

Self-concealment as a predictor of psychotherapy outcome.

2004· article· en· W52798636 on OpenAlexaboutno aff
Nicole D. Wild

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2004
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsOutcome (game theory)PsychologyPsychotherapistSocial psychologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

Psychotherapy research is aimed at discovering factors and mechanisms that influence therapy outcome to guide provision of effective treatment. One client factor that has received recent attention is self-concealment, which is a predisposition to actively conceal from others personal information that one perceives as distressing or negative (Larson & Chastain, 1990). Self-concealment has been studied in relation to attitudes toward therapy, willingness to seek therapy, and therapeutic progress. The findings, however, have been inconclusive and researchers have not studied self-concealment in relation to therapy outcome. The objective of the present study was to examine the relationship between self-concealment and distress and between change in these variables over the course of psychotherapy. The relationship between self-concealment, therapy duration and client demographics also was examined. Participants who attended outpatient psychotherapy at University of Windsor's Psychological Services Centre completed questionnaires at therapy intake and termination assessing self-concealment, global distress, depression, and state and trait anxiety. Correlation and multivariate regression analyses found that participants' self-concealment tendencies and levels of general distress, depression, and anxiety reduced from pre- to post-therapy. Although intake self-concealment was linked to intake distress, intake self-concealment was not found to be associated with termination distress, reduction in distress, premature termination from therapy, or therapist rating of client change. In contrast, reduction in self-concealment uniquely predicted reduction of all distress measures even after accounting for gender, intake distress and therapy duration. Post-hoc analyses revealed that self-concealment reduction also predicted a clinically significant reduction in global distress. This study's findings serve as a preliminary step in understanding the relationship between self-concealment, psychological distress, and psychotherapy outcome.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .W55. Source: Dissertation Abstracts International, Volume: 65-07, Section: B, page: 3734. Adviser: James Porter. Thesis (Ph.D.)--University of Windsor (Canada), 2004.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.028
GPT teacher head0.309
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
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

Citations3
Published2004
Admission routes1
Has abstractyes

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