Features of science Flashcards

1
Q

Empirical Evidence

A
  • Definition: Science relies on observable, measurable evidence gathered through experimentation and observation.
  • Example: Data collected from experiments, surveys, and field studies.
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2
Q

Testability and Falsifiability

A
  • Definition: Scientific hypotheses and theories must be testable and capable of being proven false.
  • Importance: Allows for verification and refutation of scientific claims.
  • Example: The hypothesis “All swans are white” can be tested by observing swans in different regions.
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3
Q

Replicability

A
  • Definition: Scientific findings should be replicable by other researchers using the same methods.
  • Significance: Ensures reliability and validity of results.
  • Example: A psychological study should yield the same results when repeated under similar conditions.
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4
Q

Objectivity

A
  • Definition: Science aims to minimize bias and subjective interpretation in research.
  • Methods: Use of standardized procedures, control groups, and statistical analyses.
  • Goal: To obtain results that are independent of the researcher’s personal beliefs or preferences.
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5
Q

Systematic Observation and Experimentation

A
  • Definition: Scientific research follows a structured approach to observe, measure, and analyze phenomena.
  • Process: Formulating a hypothesis, designing experiments, collecting data, and analyzing results.
  • Example: Conducting controlled experiments to test the effects of a new drug.
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6
Q

Theoretical Framework

A
  • Definition: Scientific research is guided by theories that explain and predict phenomena.
  • Role: Theories provide a context for interpreting data and generating new hypotheses.
  • Example: The theory of evolution provides a framework for understanding biological diversity.
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7
Q

Peer Review

A
  • Definition: The process of evaluating scientific work by experts in the same field before publication.
  • Purpose: To ensure the quality, validity, and originality of research findings.
  • Significance: Helps maintain high standards and integrity in scientific literature.
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8
Q

Use of Mathematical Models and Statistical Analysis

A
  • Definition: Science often employs mathematical models to describe relationships and predict outcomes.
  • Importance: Statistical analysis helps determine the significance of findings and control for variability.
  • Example: Using regression analysis to understand the relationship between stress levels and academic performance.
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9
Q

Continuous Development and Revision

A
  • Definition: Scientific knowledge is not static; it evolves as new evidence emerges and existing theories are tested.
  • Significance: Encourages adaptability and openness to new ideas.
  • Example: The transition from Newtonian physics to Einstein’s theory of relativity as new observations were made.
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10
Q

Ethical Considerations

A
  • Definition: Scientific research must adhere to ethical guidelines that protect participants and maintain integrity.
  • Principles: Informed consent, confidentiality, and the welfare of participants.
  • Example: Ethical review boards assess research proposals involving human subjects.
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11
Q
A
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