Difference between revisions of "Partner Abuse State of Knowledge Project"

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[[File:Hierarchy_of_Evidence.png|thumb|Meta-analyses offer the most compelling evidence.]]
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The Partner Abuse State of Knowledge project is the largest meta-analysis of [[domestic violence]] research ever undertaken.
  
   
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This is PASK, one of the best sources we have, of course. I always describe it as the largest meta-analysis of DV/IPV research ever undertaken. It is not focussed on gender but rather analyses many variables. When it looks at gender it finds near gender parity in IPV and also finds a high rate of reciprocal IPV, which is refers to as bi-directional.
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The [[Partner Abuse State of Knowledge Project]], better known as '''PASK''', is the largest [[meta-analysis]] of [[domestic violence]] research ever undertaken. It is not focused on gender but rather analyses many variables. When it looks at gender it finds more than half of all IPV is [[reciprocal partner violence|reciprocal]] in large population samples and that about 67% of [[non-reciprocal partner violence]] is perpetrated by women.
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PASK covers about 1700 peer-reviewed studies from around the world. Most studies come from the United States, United Kingdom, Canada, New Zealand and Australia.
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Meta-analyses like PASK offer compelling results and a way to minimise the biases of individual researchers allowing them to arrive at more objective results. In the case of PASK we see the truth of domestic and intimate partner violence.
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== Intimate Partner Violence ==
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[[Reciprocal partner violence]] (RPV), also known as ''bi-directional partner violence'' and ''reciprocal intimate partner violence'', involves intimate partner violence (IPV) in which each person in the relationship is both a perpetrator and victim of IPV. [[Non-reciprocal partner violence]] is violence in which one partner is violent and the other is not.
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=== By Population Classification ===
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The table below lists classifiations used in PASK as well as male-perpetrated and female-perpetrated IPV. These are listed as MFPV & FMPV respectively in the PASK ''Domestic Violence Facts and Statistics at a Glance''.<ref>https://domesticviolenceresearch.org/domestic-violence-facts-and-statistics-at-a-glance/</ref><ref>https://archive.is/jDfT1</ref>
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{| class="sortable wikitable"
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!rowspan="2"|PASK Classification
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!colspan="3"|Total Partner Violence (percentage)
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!colspan="2"|Non-Reciprocal Partner Violence (percentage)
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|-
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!Reciprocal
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!Male Perpetrated
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!Female Perpetrated
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!Male Perpetrated
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!Female Perpetrated
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|-
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|Among large population samples
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|57.9
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|13.8
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|28.3
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|32.8
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|67.2
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|-
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|Among school and college samples
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|51.9
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|16.2
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|31.9
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|33.7
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|66.3
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|-
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|Among respondents reporting IPV in legal or female-oriented clinical/treatment seeking samples not associated with the military
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|72.3
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|13.3
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|14.4
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|48.0
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|52.0
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|-
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|Within military and male treatment samples
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|39
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|43.4
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|17.3
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|71.5
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|28.5
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|-
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|}
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=== By Race Classification ===
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{| class="sortable wikitable"
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!rowspan="2"|PASK Classification
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!colspan="3"|Total Partner Violence (percentage)
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|-
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!Reciprocal Partner Violence
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!Non-Reciprocal Partner Violence
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|-
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|White
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|50.9
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|49.1
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|-
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|Latino
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|49
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|51
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|-
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|African-American
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|61.8
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|38.2
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|}
   
 
== External Links ==
  
== External Links ==
   
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*[https://domesticviolenceresearch.org/domestic-violence-facts-and-statistics-at-a-glance/ PASK facts at a glance]
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*[https://domesticviolenceresearch.org/ PASK]<ref>https://archive.is/PBZVF</ref>
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*[https://domesticviolenceresearch.org/domestic-violence-facts-and-statistics-at-a-glance/ PASK facts at a glance]<ref>https://archive.is/jDfT1</ref>
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== References ==
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[[Category: Featured Articles]]
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[[Category: Intimate Partner Violence]]
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[[Category: Research]]

Latest revision as of 07:10, 29 October 2024

Meta-analyses offer the most compelling evidence.

The Partner Abuse State of Knowledge Project, better known as PASK, is the largest meta-analysis of domestic violence research ever undertaken. It is not focused on gender but rather analyses many variables. When it looks at gender it finds more than half of all IPV is reciprocal in large population samples and that about 67% of non-reciprocal partner violence is perpetrated by women.

PASK covers about 1700 peer-reviewed studies from around the world. Most studies come from the United States, United Kingdom, Canada, New Zealand and Australia.

Meta-analyses like PASK offer compelling results and a way to minimise the biases of individual researchers allowing them to arrive at more objective results. In the case of PASK we see the truth of domestic and intimate partner violence.

Intimate Partner Violence

Reciprocal partner violence (RPV), also known as bi-directional partner violence and reciprocal intimate partner violence, involves intimate partner violence (IPV) in which each person in the relationship is both a perpetrator and victim of IPV. Non-reciprocal partner violence is violence in which one partner is violent and the other is not.

By Population Classification

The table below lists classifiations used in PASK as well as male-perpetrated and female-perpetrated IPV. These are listed as MFPV & FMPV respectively in the PASK Domestic Violence Facts and Statistics at a Glance.[1][2]

PASK Classification Total Partner Violence (percentage) Non-Reciprocal Partner Violence (percentage)
Reciprocal Male Perpetrated Female Perpetrated Male Perpetrated Female Perpetrated
Among large population samples 57.9 13.8 28.3 32.8 67.2
Among school and college samples 51.9 16.2 31.9 33.7 66.3
Among respondents reporting IPV in legal or female-oriented clinical/treatment seeking samples not associated with the military 72.3 13.3 14.4 48.0 52.0
Within military and male treatment samples 39 43.4 17.3 71.5 28.5

By Race Classification

PASK Classification Total Partner Violence (percentage)
Reciprocal Partner Violence Non-Reciprocal Partner Violence
White 50.9 49.1
Latino 49 51
African-American 61.8 38.2

External Links

References

  1. ↑ https://domesticviolenceresearch.org/domestic-violence-facts-and-statistics-at-a-glance/
  2. ↑ https://archive.is/jDfT1
  3. ↑ https://archive.is/PBZVF
  4. ↑ https://archive.is/jDfT1
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