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Academic Stress and Parental Pressure as Predictors of Psychological Health in Covid-19 Emergency Times among School Children with Intellectual Disabilities in Calabar Metropolis, Cross River State, Nigeria: The Implication for Counseling

2023· article· en· W4389048622 on OpenAlexvenueno aff
Ekpang Pauline Unwada, Enamhe Dorn Cklaimz, Opoh Fredrick Awhen, Philip Okpeche, Undie Rose A., Odey Edward Ogar, Bassey Obanye E., Unimna Beshel, Mboto Akomaye Odey, Patrick Ifeanyi Nwafor, Ekuri Patrick George, Micheal Obi, Akpama Victoria Simon, Asuquo Edung Etim, Egbonyi Etuki Eborty, Bassey Lynne Edwin, Dada Isaac Olu

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2023
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaLikert scalePsychologyTest (biology)Clinical psychologyPopulationStratified samplingRegression analysisSimple random sampleStress (linguistics)MedicineDevelopmental psychologyPsychometricsStatisticsEnvironmental healthMathematics

Abstract

fetched live from OpenAlex

Background: Academic stress and parental pressure have been shown to be important factors associated with psychological health. However, the internal mechanism between them is still not clear. Aim: This study assessed the joint significant influence of the predictor variables (academic stress and parental pressure) as predictors of psychological health in COVID-19 emergency times among school children with disabilities in Calabar metropolis, Cross River State, Nigeria: The implication for counseling. One study objective was stated, and one statement of hypothesis was posed. A literature review was carried out based on the variable under study. Method: The research design that was adopted in this study is correlational research design. A simple random sampling technique was adopted to select the 234 respondents sampled for the study from a population of 2,344. A validated 35-item four-point modified Likert scale questionnaire was the instrument used for data collection. The face and content validity of the instrument was established by experts in Test and Measurement. The reliability estimates 0.89 of the instruments were established using the Cronbach Alpha method. A multiple Linear regression statistical tool was used to test the hypotheses formulated for the study. The hypothesis was tested at a 0.05 level of significance. Results: The results obtained from the data analysis revealed that there is a joint significant influence of the predictor variables (academic stress and parental pressure) on psychological health in COVID-19 emergency times among school children with learning disabilities. Conclusion: Sometimes, stress and pressure can be motivating at the mild stage. However, at the severe stage, it could lead to frustration, social pressure, family workload, and cognitive overload, which in turn influences an individual to use and abuse substances in order to escape from unpleasant feelings of life situations. It was recommended that Parents should advise students on how to perform well academically rather than setting standards that may put so much pressure on students, which may have a negative impact on the psychological health of the students.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.053
GPT teacher head0.417
Teacher spread0.364 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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