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Record W4385433687 · doi:10.37506/ijpn.v9i2.19603

Effect of Self-Esteem Enhancement Program on level of self-esteem among School Children: A Pre Experimental Study

2023· article· en· W4385433687 on OpenAlexaff
Jolly Mattom

Bibliographic record

VenueInternational Journal of Psychiatric Nursing · 2023
Typearticle
Languageen
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsSelf-esteemMedicineMalayalamClinical psychologyDescriptive statisticsTest (biology)Sample size determinationInsomniaPsychologyMathematicsStatisticsPsychiatry

Abstract

fetched live from OpenAlex

An experimental study was conducted to assess the effect of self-esteem enhancement programme on the selfesteemof school going adolescents in selected schools of Kottayam district. The research design used was onegroup pretest, post test design. The study was conducted among 8th standard Malayalam medium students of aselected school in Kottayam district of Kerala State. The sample consisted of 62 students, recruited using purposivesampling. The data were collected, using self report questionnaire- Socio demographic data and Self-esteeminventory (Thomas 1984). Structured intervention programme comprised of 10 sessions and each session was for45 minutes. Post assessment was done one week after the structured intervention programme, using the sametool. Data were analyzed using descriptive and inferential statistics. The study findings revealed that majority ofthe study group were having average self – esteem, there was significant improvement in the mean self- esteemof sample in the post assessment. There was no significant relationship between adolescent’s self-esteem anddemographic variables. Based on the findings of study it is important to focus on primary prevention, andprogrammes to enhance self-esteem of adolescents should be formulated and implemented.

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)0.002
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: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.498
Teacher spread0.434 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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