Validity: Difference between revisions

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'''Validity''' is a concept that is central to understanding the reliability and trustworthiness of measurements and observations. It refers to the extent to which a test measures what it claims to measure. Validity is important in both qualitative and quantitative research.
{{Philosophy of science}}
 
'''Validity''' refers to the extent to which a concept, conclusion, or measurement is well-founded and likely corresponds accurately to the real world based on [[probability]], [[evidence]], or [[logical reasoning]]. The term is used in many different contexts, including [[logic]], [[mathematics]], [[statistics]], [[psychology]], [[scientific methodology]], and [[law]], each of which has its own specific criteria and applications of the concept.


==Types of Validity==
==Types of Validity==
There are several types of validity, including:
In the realm of [[research]], validity is categorized into several types:
 
* '''[[Content Validity]]''': This refers to the extent to which a measure represents all facets of a given construct. For example, a depression scale may lack content validity if it only assesses the affective dimension of depression but fails to take into account the behavioral dimension.


* '''[[Criterion Validity]]''': This is the extent to which a measure is related to an outcome. Criterion validity is often divided into concurrent and predictive validity.  
===Content Validity===
Content validity refers to the extent to which a measure represents all facets of a given [[social construct]]. An example is a [[psychological test]] that accurately measures human intelligence or a survey that covers all areas of the subject it intends to measure.


* '''[[Construct Validity]]''': This is the degree to which a test measures what it claims, or purports, to be measuring.  
===Criterion Validity===
Criterion validity assesses how a measure correlates with an outcome criterion. It is further divided into:
* '''Predictive Validity''': The extent to which a score on a scale or test predicts scores on some criterion measure.
* '''Concurrent Validity''': The degree to which a test correlates with a previously validated measure taken at the same time.


* '''[[Face Validity]]''': This is the extent to which a test is subjectively viewed as covering the concept it purports to measure.  
===Construct Validity===
Construct validity is used to ensure that the measure actually measures the construct it is intended to measure and not other variables. It is often assessed by testing the relationships between the test and other measures as specified in a theory.


==Threats to Validity==
===Face Validity===
There are several threats to validity, including:
Face validity refers to the extent to which a test appears effective in terms of its stated aims to a casual observer. This type of validity is often considered the weakest form of validity.


* '''[[History]]''': This refers to the specific events occurring between the first and second measurements in addition to the experimental variables.
===Internal and External Validity===
* '''Internal Validity''': The extent to which a causal conclusion based on a study is warranted, which is determined by the degree to which a study minimizes systematic error (or "bias").
* '''External Validity''': The extent to which the results of a study can be generalized to other situations and to other people.


* '''[[Maturation]]''': This refers to processes within the participants as a function of the passage of time.
==Validity in Logic==
In [[logic]], validity refers to a property of arguments whereby an argument is valid if it takes a form that makes it impossible for the premises to be true and the conclusion nevertheless to be false. It is strictly a function of the argument's logical form—not the actual truth of the premises.


* '''[[Testing]]''': This refers to the effects of taking a test upon the scores of a second testing.
==Validity in Law==
In [[legal contexts]], validity denotes the legal soundness or force of an argument or statute. For example, a law can be said to have legal validity if it has been enacted in accordance with procedures laid down by the governing body.


* '''[[Instrumentation]]''': This refers to changes in calibration of a measurement tool or changes in the observers or scorers may produce changes in the obtained measurements.
==Challenges in Establishing Validity==
Establishing validity can be challenging, particularly in fields like [[psychology]] where measuring abstract concepts is inherently difficult. Researchers must use a variety of methods and criteria to assess the different aspects of validity, and no single test can fully establish it across all contexts.


==See Also==
==See Also==
* [[Reliability (statistics)]]
* [[Reliability (statistics)]]
* [[Measurement Theory]]
* [[Measurement]]
* [[Psychometrics]]
* [[Scientific method]]
* [[Verification and validation]]


[[Category:Philosophy of science]]
[[Category:Statistics]]
[[Category:Psychometrics]]
[[Category:Psychometrics]]
[[Category:Scientific Method]]
[[Category:Validity (statistics)]]


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Latest revision as of 15:13, 13 August 2024


Validity refers to the extent to which a concept, conclusion, or measurement is well-founded and likely corresponds accurately to the real world based on probability, evidence, or logical reasoning. The term is used in many different contexts, including logic, mathematics, statistics, psychology, scientific methodology, and law, each of which has its own specific criteria and applications of the concept.

Types of Validity[edit]

In the realm of research, validity is categorized into several types:

Content Validity[edit]

Content validity refers to the extent to which a measure represents all facets of a given social construct. An example is a psychological test that accurately measures human intelligence or a survey that covers all areas of the subject it intends to measure.

Criterion Validity[edit]

Criterion validity assesses how a measure correlates with an outcome criterion. It is further divided into:

  • Predictive Validity: The extent to which a score on a scale or test predicts scores on some criterion measure.
  • Concurrent Validity: The degree to which a test correlates with a previously validated measure taken at the same time.

Construct Validity[edit]

Construct validity is used to ensure that the measure actually measures the construct it is intended to measure and not other variables. It is often assessed by testing the relationships between the test and other measures as specified in a theory.

Face Validity[edit]

Face validity refers to the extent to which a test appears effective in terms of its stated aims to a casual observer. This type of validity is often considered the weakest form of validity.

Internal and External Validity[edit]

  • Internal Validity: The extent to which a causal conclusion based on a study is warranted, which is determined by the degree to which a study minimizes systematic error (or "bias").
  • External Validity: The extent to which the results of a study can be generalized to other situations and to other people.

Validity in Logic[edit]

In logic, validity refers to a property of arguments whereby an argument is valid if it takes a form that makes it impossible for the premises to be true and the conclusion nevertheless to be false. It is strictly a function of the argument's logical form—not the actual truth of the premises.

Validity in Law[edit]

In legal contexts, validity denotes the legal soundness or force of an argument or statute. For example, a law can be said to have legal validity if it has been enacted in accordance with procedures laid down by the governing body.

Challenges in Establishing Validity[edit]

Establishing validity can be challenging, particularly in fields like psychology where measuring abstract concepts is inherently difficult. Researchers must use a variety of methods and criteria to assess the different aspects of validity, and no single test can fully establish it across all contexts.

See Also[edit]


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