Control variable - Revision history

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2025-05-24T11:27:17Z

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	A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />		"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241\|url-access=subscription }}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />

	==Usage==		==Usage==

Joyous!: Reverted 1 edit by 102.46.77.142 (talk) to last revision by WikiEditor50

2025-03-02T20:42:50Z

Reverted 1 edit by 102.46.77.142 (talk) to last revision by WikiEditor50

← Previous revision		Revision as of 20:42, 2 March 2025
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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (~~bomba~~ ~~clat~~''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />		"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />

102.46.77.142 at 20:42, 2 March 2025

2025-03-02T20:42:24Z

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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (or ~~'''scientific constant~~''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (bomba clat''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />		"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />

WikiEditor50: Lowercase "law"

2024-12-05T00:22:27Z

Lowercase "law"

← Previous revision		Revision as of 00:22, 5 December 2024
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	If Temperature is made the control variable and it is not allowed to change throughout the course of the experiment, the relationship between the dependent variables, Pressure, and Volume, can quickly be established by changing the value for one or the other, and this is [[Boyle's law]]. For instance, if the Pressure is raised then the Volume must decrease.		If Temperature is made the control variable and it is not allowed to change throughout the course of the experiment, the relationship between the dependent variables, Pressure, and Volume, can quickly be established by changing the value for one or the other, and this is [[Boyle's law]]. For instance, if the Pressure is raised then the Volume must decrease.

	If, however, Volume is made the control variable and it is not allowed to change throughout the course of the experiment, the relationship between dependent variables, Pressure, and Temperature, can quickly be established by changing the value for one or the other, and this is [[Gay-Lussac's ~~Law~~]]. For instance, if the Pressure is raised then the Temperature must increase.		If, however, Volume is made the control variable and it is not allowed to change throughout the course of the experiment, the relationship between dependent variables, Pressure, and Temperature, can quickly be established by changing the value for one or the other, and this is [[Gay-Lussac's law]]. For instance, if the Pressure is raised then the Temperature must increase.

	==Notes==		==Notes==

Aadirulez8: v2.05 - Fix errors for CW project (Link equal to linktext)

2024-10-15T21:25:38Z

v2.05 - Fix errors for CW project (Link equal to linktext)

← Previous revision		Revision as of 21:25, 15 October 2024
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	A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[~~Omitted-variable bias\|~~omitted-variable bias.]]<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />		"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />

	==Usage==		==Usage==

Thenightaway at 23:21, 2 October 2024

2024-10-02T23:21:53Z

← Previous revision		Revision as of 23:21, 2 October 2024
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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

			"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[Omitted-variable bias\|omitted-variable bias.]]<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />

	==Usage==		==Usage==

Anohthterwikipedian: Reverted 1 edit by 47.222.134.105 (talk) to last revision by MistyKangaroo

2023-08-22T02:51:34Z

Reverted 1 edit by 47.222.134.105 (talk) to last revision by MistyKangaroo

← Previous revision		Revision as of 02:51, 22 August 2023
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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter~~.So you always have to depend on stufffffff>)~~.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	==Usage==		==Usage==

47.222.134.105 at 02:29, 22 August 2023

2023-08-22T02:29:59Z

← Previous revision		Revision as of 02:29, 22 August 2023
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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.So you always have to depend on stufffffff>).

	==Usage==		==Usage==

MistyKangaroo: Undid revision 1171560157 by 2601:800:8380:8C80:84F3:648B:A39A:CB60 (talk)

2023-08-21T21:42:05Z

Undid revision 1171560157 by 2601:800:8380:8C80:84F3:648B:A39A:CB60 (talk)

← Previous revision		Revision as of 21:42, 21 August 2023
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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter. ~~frfr ahhh girlie you deserved the world (that’s goin for all of y’all even if you’re zesty <3)~~		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	==Usage==		==Usage==

2601:800:8380:8C80:84F3:648B:A39A:CB60 at 21:41, 21 August 2023

2023-08-21T21:41:48Z

← Previous revision		Revision as of 21:41, 21 August 2023
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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter. frfr ahhh girlie you deserved the world (that’s goin for all of y’all even if you’re zesty <3)

	==Usage==		==Usage==

← Previous revision		Revision as of 20:42, 2 March 2025
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	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (~~bomba~~ ~~clat~~''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (or '''scientific constant''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />		"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />

← Previous revision		Revision as of 20:42, 2 March 2025
Line 2:		Line 2:

	{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}		{{Distinguish\|Control variable (programming)\|Control variable (statistics)}}
	A '''control variable''' (or ~~'''scientific constant~~''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.		A '''control variable''' (bomba clat''') in [[scientific experimentation]] is an experimental element which is constant (controlled) and unchanged throughout the course of the investigation. Control variables could strongly influence experimental results were they not held constant during the experiment in order to test the relative relationship of the [[dependent and independent variables\|dependent variable (DV) and independent variable (IV)]]. The control variables themselves are not of primary interest to the experimenter.

	"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />		"Good controls", also known as “confounders” or “deconfounders”, are variables which are theorized to be unaffected by the treatment and which are intended to eliminate [[omitted-variable bias]].<ref name=":0">{{Cite journal \|last=Cinelli \|first=Carlos \|last2=Forney \|first2=Andrew \|last3=Pearl \|first3=Judea \|date=2024 \|title=A Crash Course in Good and Bad Controls \|url=https://journals.sagepub.com/doi/10.1177/00491241221099552 \|journal=Sociological Methods & Research \|language=en \|volume=53 \|issue=3 \|pages=1071–1104 \|doi=10.1177/00491241221099552 \|issn=0049-1241}}</ref> "Bad controls", on the other hand, are variables that could be affected by the treatment, might contribute to [[Collider (statistics)\|collider bias]], and lead to erroneous results.<ref name=":0" />