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Predictors of academic success for Māori, Pacific and non-Māori non-Pacific students in health professional education: a quantitative analysis

Overview of attention for article published in Advances in Health Sciences Education, February 2017
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  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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4 X users
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1 Facebook page
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1 Google+ user

Citations

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88 Mendeley
Title
Predictors of academic success for Māori, Pacific and non-Māori non-Pacific students in health professional education: a quantitative analysis
Published in
Advances in Health Sciences Education, February 2017
DOI 10.1007/s10459-017-9763-4
Pubmed ID
Authors

Erena Wikaire, Elana Curtis, Donna Cormack, Yannan Jiang, Louise McMillan, Rob Loto, Papaarangi Reid

Abstract

Tertiary institutions internationally aim to increase student diversity, however are struggling to achieve equitable academic outcomes for indigenous and ethnic minority students and detailed exploration of factors that impact on success is required. This study explored the predictive effect of admission variables on academic outcomes for health professional students by ethnic grouping. Kaupapa Māori and Pacific research methodologies were used to conduct a quantitative analysis using data for 2686 health professional students [150 Māori, 257 Pacific, 2279, non-Māori non-Pacific (nMnP)]. The predictive effect of admission variables: school decile; attending school in Auckland; type of admission; bridging programme; and first-year bachelor results on academic outcomes: year 2-4 grade point average (GPA); graduating; graduating in the minimum time; and optimal completion for the three ethnic groupings and the full cohort was explored using multiple regression analyses. After adjusting for admission variables, for every point increase in first year bachelor GPA: year 2-4 GPA increased by an average of 0.46 points for Māori (p = 0.0002, 95% CI 0.22, 0.69), 0.70 points for Pacific (p < 0.0001, CI 0.52, 0.87), and 0.55 points for nMnP (p < 0.0001, CI 0.51, 0.58) students. For the total cohort, ethnic grouping was consistently the most significant predictor of academic outcomes. This study demonstrated clear differences in academic outcomes between both Māori and Pacific students when compared to nMnP students. Some (but not all) of the disparities between ethnic groupings could be explained by controlling for admission variables.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 11%
Student > Master 9 10%
Student > Bachelor 9 10%
Lecturer 7 8%
Lecturer > Senior Lecturer 7 8%
Other 20 23%
Unknown 26 30%
Readers by discipline Count As %
Social Sciences 15 17%
Medicine and Dentistry 13 15%
Nursing and Health Professions 12 14%
Psychology 6 7%
Arts and Humanities 4 5%
Other 14 16%
Unknown 24 27%
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 08 April 2017.
All research outputs
#7,012,293
of 22,957,478 outputs
Outputs from Advances in Health Sciences Education
#371
of 854 outputs
Outputs of similar age
#113,421
of 311,652 outputs
Outputs of similar age from Advances in Health Sciences Education
#13
of 19 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 854 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 55% 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 311,652 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 62% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.