ISEE Upper Level Reading Comprehension Flashcards: Supporting Evidence

Study Supporting Evidence in ISEE Upper Level Reading Comprehension with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.

QUESTION

What is the best evidence to support a conclusion about comparison: a random fact or a stated similarity or difference?

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ANSWER

A stated similarity or difference. Stated comparisons explicitly highlight parallels or contrasts, providing targeted support unlike random facts.

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ISEE Upper Level Reading Comprehension: Key Details and Evidence

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What this deck covers

This deck focuses on Supporting Evidence, giving you a quick way to review the definitions, rules, and examples that matter most for ISEE Upper Level Reading Comprehension.

How to use these flashcards

Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.

Practice questions

1 of 50Practice questions for this set
Which piece of evidence best supports the author's main argument?
 The author argues that Florence Nightingale’s impact on medicine came as much from statistics as from bedside care. While she is often remembered for nursing wounded soldiers during the Crimean War (1853–1856), the author concludes that her most lasting contribution was persuading governments to reform sanitation through data. The passage explains that poor ventilation, contaminated water, and overcrowding caused preventable deaths in military hospitals.

 The author cites Nightingale’s reports to British officials after the war, which included carefully organized mortality figures. She used visual charts, including the famous “coxcomb” diagrams, to show that disease killed far more soldiers than battlefield injuries. Secondary historians quoted in the passage argue that these clear comparisons made it difficult for policymakers to ignore the problem. As reforms were implemented, hospital death rates declined, supporting the author’s claim that data-driven advocacy produced measurable change.

 The passage also notes that Nightingale’s approach influenced later public health efforts. By treating sanitation as a matter of evidence and administration, she helped establish a model for reforms that could be evaluated. Therefore, the author concludes that Nightingale should be understood as a pioneer of applied statistics in service of human welfare.
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