- Related Topics:
- scientific theory
- Belief
Empirical evidence
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What is empirical evidence?
Empirical evidence is information acquired through observation or experimentation that can be used to either confirm or deny a scientific theory, or to substantiate a person's belief in a proposed idea. It can be qualitative, which is often subjective and results from the interaction between the researcher and participants, or quantitative, which is numerical and can be visually represented via charts or graphs.
The validity of empirical evidence is often assessed. Assessments can be internal, regarding the soundness of the experimentâs design, execution, and data analysis, or external, involving generalizability to other research contexts. In hypothesis testing, empirical evidence from sample data is used to determine whether a null hypothesis can be rejected.
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How is empirical evidence different from opinions or beliefs?
Empirical evidence is information gathered through observation or experimentation, used to confirm or disconfirm a scientific theory or justify a belief. It can be quantitative, using numerical data, or qualitative, focusing on understanding behaviors.
Opinions and beliefs are ideas held as true without positive knowledge. Unlike empirical evidence, they don't rely on direct observation or experimentation but can be influenced by personal feelings, views, or persuasions. Confirmation bias shows people often seek information confirming their beliefs, regardless of evidence. Public opinion forms when attitudes about an issue are expressed, potentially becoming self-perpetuating.
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How do scientists collect empirical evidence?
Empirical evidence is gathered through direct or indirect observation or experimentation and is used to confirm or disconfirm a scientific theory or to justify a person's belief in a given proposition. It can be quantitative, using numerical data represented visually through diagrams, graphs, or charts, often obtained through experiments, surveys, and correlational research. Qualitative evidence fosters a deeper understanding of behavior and related factors, stemming from interviews, observations, textual analysis, focus groups, and case studies. Empirical evidence is assessed for its validity, both internal (soundness of design and data analysis) and external (generalizability to other contexts).
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Why is empirical evidence important in scientific research?
Empirical evidence is important in scientific research because it is gathered through direct or indirect observation or experimentation and can confirm or disconfirm a scientific theory or justify a person's belief in a proposition. It can be quantitative, using numerical data, or qualitative, fostering a deeper understanding of behavior without numbers. Empirical evidence is subject to assessments of its validity. Internal validity concerns the soundness of an experimentâs design, execution, and data analysis, while external validity concerns generalizability to other research contexts.
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What are some examples of empirical evidence in everyday life?
Empirical evidence is information gathered through observation or experimentation that can be used to confirm or disconfirm a scientific theory or justify a person's belief in a proposition. It can be quantitative, using numerical data, or qualitative, focusing on understanding behavior and related factors.
Examples of empirical evidence in everyday life include:
* Medicine A doctor uses medical history, physical exams, and tests to identify a disease responsible for a patient's complaints.
* Sociology Sociologists systematically gather longitudinal data through letters, diaries, life histories, and other relevant documents.
* General Beliefs Forming a belief based on seeing rain outside rather than relying on a weather forecast.3 Britannica SourcesCreated from Britannica articles using AI. AI can make mistakes, so verify using Britannica articles. -
How can someone judge if evidence is truly empirical or not?
Empirical evidence is gathered through observation or experimentation and is used to confirm or disconfirm a scientific theory or justify a belief. To judge if evidence is empirical, consider these points:
- Source Empirical evidence comes from direct or indirect observation or experiments.
- Type It can be quantitative (numerical data) or qualitative (descriptive, non-numerical). Quantitative evidence is often displayed in diagrams or charts and analyzed statistically. Qualitative evidence can come from interviews and observations.
- Validity Empirical evidence is assessed for its validity, both internal (soundness of the experiment) and external (generalizability to other contexts).
- Objective Empirical research should be conducted neutrally, minimizing interaction between researchers and participants.
Note that anecdotal evidence, which relies on personal stories, is not considered empirical evidence.
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Empirical evidence, information gathered directly or indirectly through observation or experimentation that may be used to confirm or disconfirm a scientific theory or to help justify, or establish as reasonable, a personâs belief in a given proposition. A belief may be said to be justified if there is sufficient evidence to make holding the belief reasonable.
The concept of evidence is the basis of philosophical evidentialism, an epistemological thesis according to which a person is justified in believing a given proposition p if and only if the personâs evidence for p is proper or sufficient. In this context, the Scottish Enlightenment philosopher David Hume (1711â76) famously asserted that the âwise manâŠproportions his belief to the evidence.â In a similar vein, the American astronomer Carl Sagan popularized the statement, âExtraordinary claims require extraordinary evidence.â
Foundationalists, however, defend the view that certain basic, or foundational, beliefs are either inherently justified or justified by something other than another belief (e.g., a sensation or perception) and that all other beliefs may be justified only if they are directly or indirectly supported by at least one foundational belief (that is, only if they are either supported by at least one foundational belief or supported by other beliefs that are themselves supported by at least one foundational belief). The most influential foundationalist of the modern period was the French philosopher and mathematician RenĂ© Descartes (1596â1650), who attempted to establish a foundation for justified beliefs regarding an external world in his intuition that, for as long as he is thinking, he exists (âI think, therefore I amâ; see cogito, ergo sum). A traditional argument in favour of foundationalism asserts that no other account of inferential justificationâthe act of justifying a given belief by inferring it from another belief that itself is justifiedâis possible. Thus, assume that one belief, Belief 1, is justified by another belief, Belief 2. How is Belief 2 justified? It cannot be justified by Belief 1, because the inference from Belief 2 to Belief 1 would then be circular and invalid. It cannot be justified by a third nonfoundational Belief 3, because the same question would then apply to that belief, leading to an infinite regress. And one cannot simply assume that Belief 2 is not justified, for then Belief 1 would not be justified through the inference from Belief 2. Accordingly, there must be some beliefs whose justification does not depend on other beliefs, and those justified beliefs must function as a foundation for the inferential justification of other beliefs.
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Empirical evidence can be quantitative or qualitative. Typically, numerical quantitative evidence can be represented visually by means of diagrams, graphs, or charts, reflecting the use of statistical or mathematical data and the researcherâs neutral noninteractive role. It can be obtained by methods such as experiments, surveys, correlational research (to study the relationship between variables), cross-sectional research (to compare different groups), causal-comparative research (to explore cause-effect relationships), and longitudinal studies (to test a subject during a given time period).
Qualitative evidence, on the other hand, can foster a deeper understanding of behaviour and related factors and is not typically expressed by using numbers. Often subjective and resulting from interaction between the researcher and participants, it can stem from the use of methods such as interviews (based on verbal interaction), observation (informing ethnographic research design), textual analysis (involving the description and interpretation of texts), focus groups (planned group discussions), and case studies (in-depth analyses of individuals or groups).
Empirical evidence is subject to assessments of its validity. Validity can be internal, involving the soundness of an experimentâs design and execution and the accuracy of subsequent data analysis, or external, involving generalizability to other research contexts (see ecological validity).