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Determinants of Personal Support Workers’ Intention to Stay in Community Care Organizations

2018· article· en· W2839138820 on OpenAlexaboutno aff
Firat K. Sayin, Margaret Denton, Catherine Brookman, Sharon Davies, James Chowhan, Işık U. Zeytinoglu

Bibliographic record

VenueAcademy of Management Proceedings · 2018
Typearticle
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionStructural equation modelingPsychologyJob attitudeWork (physics)Social psychologyJob performance

Abstract

fetched live from OpenAlex

This study tests the impact of work intensification on work stress, job satisfaction, and intention to stay focusing on personal support workers. Work stress and job satisfaction are the mediating variables and intention to stay is the endogenous variable. Data come from our 2015 survey of 999 personal support workers, the largest occupational group in home and community care, employed in Ontario, Canada. Using structural equation modeling, we find that work intensification is significantly and positively related to work stress, and work stress has a significant negative association with extrinsic job satisfaction and intrinsic job satisfaction. Moreover, while intrinsic job satisfaction is positively associated with intention to stay, there is no significant relationship between extrinsic job satisfaction and intention to stay. Our findings explain the mechanism between work intensification and intention to stay and demonstrate that the impact of extrinsic job satisfaction and intrinsic job satisfaction on intention to stay might differ. The practical implications of the results as they are related to the 2018 conference theme, “Improving Lives,” are discussed.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.064
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.035
GPT teacher head0.366
Teacher spread0.330 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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