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How important is embeddedness in predicting Australian speech–language pathologists’ intentions to leave their jobs and the profession?

Overview of attention for article published in International Journal of Speech-Language Pathology, March 2018
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

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Article details
Title
How important is embeddedness in predicting Australian speech–language pathologists’ intentions to leave their jobs and the profession?
Published in
International Journal of Speech-Language Pathology, March 2018
DOI 10.1080/17549507.2018.1441439
Pubmed ID
Authors
Abstract

This study explored the predictors of the outcomes of turnover and occupation attrition intentions for speech-language pathologists. The researchers examined the mediating effects of job satisfaction and strain on the relationship between stress and the latter outcomes. Additionally, the researchers examined the importance of embeddedness in predicting turnover intentions after accounting for stress, strain and job satisfaction. An online questionnaire was used to explore turnover and attrition intentions in 293 Australian speech-language pathologists. Job satisfaction contributed to a significant indirect effect on the stress and turnover intention relationship, however strain did not. There was a significant direct effect between stress and turnover intention after accounting for covariates. Embeddedness and the perceived availability of alternative jobs were also found to be significant predictors of turnover intentions. The mediating model used to predict turnover intentions also predicted occupation attrition intentions. The effect of stress on occupation attrition intentions was indirect in nature, the direct effect negated by mediating variables. Qualitative data provided complementary evidence to the quantitative model. The findings indicate that the proposed parsimonious model adequately captures predictors of speech-language pathologists' turnover and occupation attrition intentions. Workplaces and the profession may wish to consider these retention factors.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 14%
Student > Ph. D. Student 7 9%
Student > Doctoral Student 5 7%
Researcher 4 5%
Librarian 3 4%
Other 10 14%
Unknown 35 47%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 8 11%
Psychology 8 11%
Medicine and Dentistry 4 5%
Arts and Humanities 3 4%
Business, Management and Accounting 3 4%
Other 11 15%
Unknown 37 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2023.
All research outputs
#8,083,442
of 27,268,765 outputs
Outputs from International Journal of Speech-Language Pathology
#89
of 262 outputs
Outputs of similar age
#124,960
of 351,570 outputs
Outputs of similar age from International Journal of Speech-Language Pathology
#1
of 1 outputs
Altmetric has tracked 27,268,765 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,570 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them