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Record W4321376751 · doi:10.1080/10409289.2023.2179790

Validity, Reliability, and Relevance of a Measurement Tool for Childcare Providers’ Work-Related Stress and Job Satisfaction

2023· article· en· W4321376751 on OpenAlexfundno aff
Elizabeth Hentschel, Ha T. Tran, Hannah H. Leslie, Aisha K. Yousafzai

Bibliographic record

VenueEarly Education and Development · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersGrand Challenges Canada
KeywordsPsychologyReliability (semiconductor)Job satisfactionRelevance (law)Applied psychologyTest validityValidityOccupational stressJob performanceStress (linguistics)PsychometricsSocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

Research Findings: Childcare provider stress and job satisfaction has been found to influence childcare quality in high-income contexts, but this phenomenon has yet to be studied in a low- or middle-income country. In 2019–2020, we tested the reliability and validity of the Child Care Center Work Environment Scale (CCCWES) with 416 childcare providers in Da Nang and Quang Nam provinces, Vietnam. We assessed content and face validity and utilized item information within each factor to refine the CCCWES. We assessed convergent validity by evaluating the association between the constructs and childcare quality. In this setting, the original 50-item scale could be shortened to a reliable and valid 22-item scale. The scale comprised two factors: workplace stress and job satisfaction. Workplace stress was negatively associated with childcare quality (β=-0.100,95%CI=(−0.198,0.003)). Job satisfaction was positively associated with childcare quality (β = 0.154,95%CI=(0.056,0.251)). Practice or Policy: There is a need to measure work-related stress and job satisfaction among childcare providers in order to appropriately target interventions to reduce stress and to optimize support. We offer programs a short-form instrument that reliably measures childcare providers’ workplace stress and job satisfaction in Vietnam.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.243
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.039
GPT teacher head0.300
Teacher spread0.261 · 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.

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

Citations5
Published2023
Admission routes1
Has abstractyes

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