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Glossary

A

Authority

Criticality: 3

The expertise, credibility, or recognized knowledge of a source on a particular subject. A source with high authority is generally more trustworthy.

Example:

When researching medical treatments, a peer-reviewed journal article written by a doctor holds more authority than a personal blog post.

B

Bias

Criticality: 3

A disproportionate weight in favor of or against an idea or thing, often in a way that is closed-minded, prejudicial, or unfair. It can affect the objectivity of evidence.

Example:

A research study funded entirely by a specific company might exhibit bias in its findings, potentially favoring that company's products.

C

Claim-Evidence-Reasoning (CER)

Criticality: 3

A structured framework for constructing arguments, where a 'Claim' is supported by 'Evidence,' and the 'Reasoning' explains how the evidence supports the claim.

Example:

In a scientific report, the Claim-Evidence-Reasoning framework ensures that each assertion is backed by empirical data and a clear logical link.

Context

Criticality: 3

The surrounding circumstances, including the time and purpose, in which an argument or piece of evidence is presented. Understanding context is crucial for proper evaluation.

Example:

Understanding the historical context of a 19th-century scientific paper is crucial to evaluating its findings today, as scientific understanding has evolved.

D

Data Misrepresentation

Criticality: 3

The act of presenting data in a way that is misleading, inaccurate, or distorts the true meaning of the information. This can involve selective use or deceptive visuals.

Example:

Presenting a graph with a truncated y-axis to exaggerate a small increase in sales is a common form of data misrepresentation.

E

Evidence

Criticality: 3

Any information, data, or observation used to support a claim or argument. It can take many forms, including facts, statistics, observations, or expert opinions.

Example:

A researcher might use survey data as evidence to support their claim about student preferences for online learning.

Explain Relationships

Criticality: 2

A purpose of evidence where it is used to clarify the underlying reasons or mechanisms for observed connections between variables, ideas, or phenomena.

Example:

Beyond just showing a link, research aims to explain relationships by detailing the psychological or physiological mechanisms through which sleep impacts learning.

Explain Trends

Criticality: 2

A purpose of evidence where it is used to provide reasons or causes for observed patterns of change or development over time.

Example:

A historian might use primary sources to explain trends in political thought during a specific era, detailing the events that influenced public opinion.

Explanation

Criticality: 2

The part of an argument that clarifies how and why the presented evidence supports the claim. It bridges the gap between data and conclusion.

Example:

After presenting a statistic about student engagement, a strong argument provides an explanation of how that statistic directly supports the main claim about teaching effectiveness.

I

Identify Relationships

Criticality: 2

A purpose of evidence where it is used to show connections or correlations between different variables, ideas, or phenomena.

Example:

A study might use survey data to identify relationships between hours of sleep and academic performance among high school students.

Identify Trends

Criticality: 2

A purpose of evidence where it is used to show patterns of change or development over time in data, behaviors, or phenomena.

Example:

Economic data can be used to identify trends in consumer spending habits over the past decade, showing shifts towards online purchases.

O

Outdated evidence

Criticality: 2

Information or data that is no longer current or relevant due to the passage of time or new discoveries. Using it can weaken an argument significantly.

Example:

Relying on a 20-year-old study about internet usage would be using outdated evidence for a paper on current digital communication trends.

Q

Quotes Taken Out of Context

Criticality: 2

Using a portion of a statement or text in a way that alters its original meaning, often to support a different argument than the one intended by the original speaker or author.

Example:

A political ad might use quotes taken out of context to make a candidate's statement sound negative, even if the full quote was positive.

S

Situation

Criticality: 3

How an argument or research fits into the broader academic conversation or existing body of knowledge. It considers what other arguments it relates to or challenges.

Example:

A new study on renewable energy must consider its situation within the broader scientific discourse on climate solutions and existing energy policies.

Stats Out of Context

Criticality: 2

Presenting statistical data without providing the necessary surrounding information or conditions, leading to a distorted or misleading interpretation.

Example:

Claiming 'sales doubled' without mentioning they went from 1 to 2 units is using stats out of context to create a false impression of growth.