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Record W2887820492 · doi:10.5430/ijhe.v7n4p90

The Effect of Adjustment Training Based on Rational Emotive Behavior Therapy for Undergraduates on Their Adjustment to University

2018· article· en· W2887820492 on OpenAlexvenueno aff
Mustafa Kemal Yöntem, Ömer Özer

Bibliographic record

VenueInternational Journal of Higher Education · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychological Treatments and Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsEmotivePsychologyTest (biology)Clinical psychologyRational emotive behavior therapyBehaviour therapyDramaCognitionPsychiatry

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the effect of the Rational Emotional Behavioral Therapy Based Adjustment Training on the adjustment level of undergraduates. Participants involved 30 undergraduates from different cities of Turkey. The data were collected using University Life Scale. This quasi-experimental study was conducted as a psycho-educational group activity in the drama room of the university. The effectiveness of the psycho-education program was examined with experiment-control group, pre-test, post-test and follow-up measures and the program was organized as 12 sessions. Posttest and follow-up results showed that those in the experimental group had a higher adjustment score than the participants in the control group. The results of the research showed that Rational Emotional Behavioral Therapy Based Adjustment Training contributed to the adjustment of first-year students coming from different cities.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.413
Teacher spread0.360 · 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 designNon-randomized trial
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

Citations2
Published2018
Admission routes1
Has abstractyes

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