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The Prejudice towards People with Mental Illness (PPMI) scale: structure and validity

Overview of attention for article published in BMC Psychiatry, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 news outlet
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1 X user
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1 Facebook page
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1 Redditor

Citations

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33 Dimensions

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97 Mendeley
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Title
The Prejudice towards People with Mental Illness (PPMI) scale: structure and validity
Published in
BMC Psychiatry, September 2018
DOI 10.1186/s12888-018-1871-z
Pubmed ID
Authors

Amanda Kenny, Boris Bizumic, Kathleen M. Griffiths

Abstract

Although there is a substantial body of research on the stigma associated with mental illness, much of the extant research has not explicitly focused on the concept of prejudice, which drives discriminatory behaviour. Further, research that has investigated prejudice towards people with mental illness has conceptual, theoretical and psychometric limitations. To address these shortcomings, we sought to develop a new measure, the Prejudice towards People with Mental Illness (PPMI) scale, based on an improved conceptualisation and integration of the stigma and prejudice areas of research. In developing the new scale, we undertook a thematic analysis of existing conceptualisations and measures to identify a pool of potential items for the scale which were subsequently assessed for fidelity and content validity by expert raters. We tested the structure, reliability, and validity of the scale across three studies (Study 1 N = 301; Study 2 N = 164; Study 3 N = 495) using exploratory factor, confirmatory factor, correlational, multiple regression, and ordinal logistic regression analyses using both select and general community samples. Study 1 identified four factors underlying prejudice towards people with mental illness: fear/avoidance, malevolence, authoritarianism, and unpredictability. It also confirmed the nomological network, that is, the links of these attitudes with the proposed theoretical antecedents and consequences. Studies 2 and 3 further supported the factor structure of the measure, and provided additional evidence for the nomological network. We argue that research into prejudice towards people with mental illness will benefit from the new measure and theoretical framework.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 21%
Student > Master 11 11%
Student > Ph. D. Student 9 9%
Researcher 8 8%
Student > Doctoral Student 7 7%
Other 9 9%
Unknown 33 34%
Readers by discipline Count As %
Psychology 31 32%
Medicine and Dentistry 7 7%
Social Sciences 6 6%
Nursing and Health Professions 5 5%
Arts and Humanities 4 4%
Other 7 7%
Unknown 37 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 August 2020.
All research outputs
#2,679,458
of 23,314,015 outputs
Outputs from BMC Psychiatry
#990
of 4,812 outputs
Outputs of similar age
#56,475
of 338,190 outputs
Outputs of similar age from BMC Psychiatry
#27
of 103 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,812 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done well, scoring higher than 79% 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 338,190 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.