EVIDENCE §

Description §

Evidence is defined as the data and information utilized to substantiate scientific claims and theories. It is crucial in the scientific method, serving as the foundation for assessments and conclusions drawn within various fields of study. Evidence embodies the quality and type of data or materials that fortify the assertions made in scientific evaluations. In essence, it plays an integral role in validating hypotheses and ensuring the reliability of scientific findings.

Related Concepts §

• ARGUMENT — Arguments are typically supported by empirical evidence to validate claims
• CLAIMS — Claims in scientific discourse are substantiated by evaluating and presenting relevant evidence
• ANALYZING AND INTERPRETING DATA — Analyzing and interpreting data is essential to derive evidence for scientific claims.
• S4 — S4 involves using evidence to support explanations and design solutions to problems
• S8 — S8 emphasizes the use of evidence obtained from experiments and sources for constructing scientific explanations
• S12 — S12 focuses on constructing explanations based on valid and reliable evidence from a variety of sources
• SOLUTION — Solutions are developed based on analyzing evidence to address specific problems
• REVISIONS TO MODEL — Model revisions reflect changes based on new evidence acquired from experiments
• VALIDATION — The validity of the evidence directly impacts whether a design concept is considered effective
• SCIENTISTS — Scientists utilize evidence to support their arguments in defending or critiquing models
• ENGINEERS — Engineers use evidence to support or critique designs, similar to how scientists use it
• TECHNOLOGICAL PRODUCTS — Technological products are assessed by using evidence to determine areas of improvement
• CRITICAL READING — Critical reading involves analyzing evidence presented in texts to understand claims and validity
• ASSESSMENT DESIGN — The assessment design outlines how evidence will be evaluated and reported in student assessments
• VARIABLE — Evidence collected serves to validate the role of variables in scientific experiments.
• DESIGN PROPOSES — Design proposals require evaluation against empirical evidence to ensure they meet the desired outcomes
• SOURCES OF ERROR — Sources of error can impact the validity of evidence presented in scientific studies