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The Effectiveness of Positive Psychotherapy on Optimism and Alexithymia in Retired Female Teachers with Anxiety

2020· article· en· W3118342454 on OpenAlexaboutno aff
Abolghasem Barimani, Reza Donyavi, Shohreh Taghizade

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaOptimismPsychologyAnxietyPsychotherapistClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to investigate the effect of positive psychotherapy on optimism and alexithymia in retired women's teachers with anxiety. The study was applied based on the target. The method was semi-experimental with pre-test, post-test, and follow up design with experimental and control groups. Thirty retired women's teachers with anxiety were selected as the sample using the purposeful method. Fifteen subjects were randomly assigned to the experimental group and fifteen people in the control group. The instruments for collecting data were Questionnaires of Scheier & Carver Optimism, Toronto Alexithymia & Beck Anxiety Questionnaire. Positive psychology protocol for eight sessions every week in 90 minutes was accomplished in the experimental group, while the control group didn't receive any intervention. The covariance analysis was used for data analysis. The research results indicated positive psychotherapy had a positive effect on optimism and alexithymia. It led to increasing emotional recognition, reducing the difficulty of describing emotions, and increasing the objective thinking of anxious retired women's teachers. Positive psychotherapy had a decreased effect on alexithymia in the experimental group in the post-test and follow-up phases. Simultaneously, there was an increase in optimism in the experimental group in the post-test and follow-up stages. Moreover, the effects of the interventions remained stable until the follow-up in the experimental group

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.119
GPT teacher head0.505
Teacher spread0.386 · 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 teacher head, not a consensus.

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
Published2020
Admission routes1
Has abstractyes

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