Partner Abuse State of Knowledge Project - Revision history

Robert Brockway at 13:29, 22 November 2025

2025-11-22T13:29:23Z

← Older revision		Revision as of 13:29, 22 November 2025
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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.		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.

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

	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.		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.

Robert Brockway at 07:10, 29 October 2024

2024-10-29T07:10:13Z

← Older revision		Revision as of 07:10, 29 October 2024
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	[[File:Hierarchy_of_Evidence.png\|thumb\|Meta-analyses offer the most compelling evidence.]]		[[File:Hierarchy_of_Evidence.png\|thumb\|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 partner violence\|reciprocal]] in large population samples and that about 67% of [[non-reciprocal partner violence]] is perpetrated by women.		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.

	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.		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.

Robert Brockway at 12:17, 1 September 2024

2024-09-01T12:17:14Z

← Older revision		Revision as of 12:17, 1 September 2024
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			[[File:Hierarchy_of_Evidence.png\|thumb\|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 partner violence\|reciprocal]] in large population samples and that about 67% of [[non-reciprocal partner violence]] is perpetrated by women.		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.

Robert Brockway: /* Intimate Partner Violence */

2023-11-01T06:37:51Z

Intimate Partner Violence

← Older revision		Revision as of 06:37, 1 November 2023
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	== Intimate Partner Violence ==		== Intimate Partner Violence ==

	[[Reciprocal partner violence]] (RPV), also known as bi-directional 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.		[[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 ===		=== By Population Classification ===

Robert Brockway: /* Intimate Partner Violence */

2023-11-01T06:37:03Z

Intimate Partner Violence

← Older revision		Revision as of 06:37, 1 November 2023
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	== Intimate Partner Violence ==		== Intimate Partner Violence ==

	[[Reciprocal partner violence]] (RPV), also known as bi-directional 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.		[[Reciprocal partner violence]] (RPV), also known as bi-directional 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 ===		=== By Population Classification ===

Robert Brockway at 06:36, 1 November 2023

2023-11-01T06:36:08Z

← Older revision		Revision as of 06:36, 1 November 2023
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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.		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 so ~~we can get~~ to ~~the~~ ~~truth~~ of ~~the~~ ~~matter~~. In the case of PASK we see the truth of domestic and intimate partner violence.		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 ==		== Intimate Partner Violence ==

Robert Brockway at 06:35, 1 November 2023

2023-11-01T06:35:42Z

← Older revision		Revision as of 06:35, 1 November 2023
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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.		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.

	PASK covers about 1700 peer-reviewed studies from around the world. Most studies~~, however,~~ come from the United States, United Kingdom, Canada, New Zealand and Australia.		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 so we can get to the truth of the matter. In the case of PASK we see the truth of domestic and intimate partner violence.		Meta-analyses like PASK offer compelling results and a way to minimise the biases of individual researchers so we can get to the truth of the matter. In the case of PASK we see the truth of domestic and intimate partner violence.

Robert Brockway at 06:35, 1 November 2023

2023-11-01T06:35:24Z

← Older revision		Revision as of 06:35, 1 November 2023
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	The Partner Abuse State of Knowledge ~~project~~ 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.		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.

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

Robert Brockway: /* By Race */

2023-07-08T04:48:20Z

By Race

← Older revision		Revision as of 04:48, 8 July 2023
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	\|}		\|}

	=== By Race ===		=== By Race Classification ===

	{\| class="sortable wikitable"		{\| class="sortable wikitable"

Robert Brockway: /* By Classification */

2023-07-08T04:48:09Z

By Classification

← Older revision		Revision as of 04:48, 8 July 2023
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	[[Reciprocal partner violence]] (RPV), also known as bi-directional 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.		[[Reciprocal partner violence]] (RPV), also known as bi-directional 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 Classification ===		=== 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''.<ref>https://domesticviolenceresearch.org/domestic-violence-facts-and-statistics-at-a-glance/</ref><ref>https://archive.is/jDfT1</ref>		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>