Adult Literacy Intermediate Quiz: Identifying Reasons And Evidence
10 questions · exam conditions
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Identifying Reasons And EvidenceQuestion 1 of 10

The library stayed open two hours later on Saturdays for a three-month trial. Average Saturday visits rose from 120 to 168. During the same period, average weekday visits remained close to their earlier level. The library director said the later Saturday hours helped more residents use the library.

How does the detail about weekday visits support the director's claim?

It proves that weekday visitors began using the library only on Saturdays.
It shows that the library was more popular on weekdays than on Saturdays.
It suggests the Saturday increase was not simply part of a general rise in visits.
It demonstrates that residents preferred the earlier weekday schedule to later hours.
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Adult Literacy Intermediate Quiz

Adult Literacy Intermediate Quiz: Identifying Reasons And Evidence

Practice Identifying Reasons And Evidence in Adult Literacy Intermediate with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Identifying Reasons And Evidence, giving you a quick way to practice the rules, question types, and explanations that matter most for Adult Literacy Intermediate.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

The library stayed open two hours later on Saturdays for a three-month trial. Average Saturday visits rose from 120 to 168. During the same period, average weekday visits remained close to their earlier level. The library director said the later Saturday hours helped more residents use the library.

How does the detail about weekday visits support the director's claim?

  1. It proves that weekday visitors began using the library only on Saturdays.
  2. It shows that the library was more popular on weekdays than on Saturdays.
  3. It suggests the Saturday increase was not simply part of a general rise in visits. (correct answer)
  4. It demonstrates that residents preferred the earlier weekday schedule to later hours.
Explanation: When a passage presents evidence to support a claim, your job is to ask: what work is that evidence doing? Here, the director claims the extended Saturday hours led to more residents using the library. The Saturday visit increase (120 → 168) supports this, but a skeptic might ask: "What if visits were rising everywhere, for unrelated reasons?" The weekday data answers that objection. Because weekday visits stayed flat during the same three-month period, the Saturday surge looks specific — tied to the extended hours, not to some broader trend like a community-wide interest in reading. This is the logic behind C: the stable weekday numbers suggest the Saturday increase wasn't just part of a general rise in visits, which strengthens the director's argument that the later hours made the difference. A is wrong because the passage never says weekday visitors switched to Saturdays — it only says weekday numbers stayed steady, which actually argues against a simple shift of the same visitors. B misreads the data entirely; Saturday visits grew to 168 while weekday figures held near 120, so Saturdays ended up busier, not the other way around. D draws a conclusion the passage never supports — nothing indicates residents preferred weekday schedules, and the Saturday jump suggests the opposite. A useful strategy: when a question asks how a specific detail supports a claim, look for what alternative explanation that detail rules out. Evidence often works by eliminating rival explanations, and that's exactly what the weekday data does here.

Question 2

A recreation center installed a water-bottle refill station to reduce disposable bottle waste. Before installation, workers collected an average of 180 disposable bottles from the center's bins each week. Six weeks after installation, the average was 105 bottles. Weekly attendance at the center stayed about the same, and the station recorded hundreds of uses.

Which evidence most directly supports the claim that the station reduced disposable bottle waste rather than simply receiving frequent use?

  1. The station recorded hundreds of uses during the six-week review period.
  2. Bottle waste decreased while the number of center visitors stayed similar. (correct answer)
  3. Workers continued collecting disposable bottles from bins throughout the center.
  4. The station was installed specifically to reduce the center's bottle waste.
Explanation: When a question asks you to find evidence that directly supports a specific claim, you need to match the evidence to the claim as precisely as possible. The claim here is that the station reduced bottle waste — not just that people used it. So you're looking for evidence that connects station use to a measurable drop in bottles. Choice B does exactly that. It tells you two things at once: bottle waste went down (from 180 to 105 per week), and attendance stayed the same. That second part is crucial. If fewer people were visiting, the drop in bottles might just reflect fewer visitors, not the station's impact. Because attendance held steady, the decrease in bottles is most directly tied to the station itself. That's the logical link the question is asking you to find. Choice A is tempting because it sounds relevant — hundreds of uses seems impressive. But high usage alone doesn't prove waste went down. People could use the station and still buy disposable bottles. Usage without a corresponding waste reduction doesn't support the claim. Choice C actually works against the argument. Pointing out that workers kept finding bottles could raise doubt about the station's effectiveness, not confirm it. Choice D explains the station's purpose, not its results. Why something was installed tells you the intention, not whether it worked. Evidence needs to show outcomes, not goals. The strategy to remember: when evaluating evidence for a cause-and-effect claim, look for an answer that shows the effect changed while other variables stayed constant. That's what makes B the strongest, most direct support.

Question 3

A neighborhood group says its community garden improves access to fresh food and helps neighbors form connections. Last season, the garden distributed produce to 46 nearby families. Twenty-eight residents volunteered there, and 19 reported that they first met at least one neighbor while working in the garden.

Which detail most directly supports the claim that the garden helps neighbors form connections?

  1. The garden distributed fresh produce to 46 families living nearby.
  2. Twenty-eight residents volunteered during the most recent growing season.
  3. Nineteen volunteers first met a neighbor while working in the garden. (correct answer)
  4. The neighborhood group managed both the volunteers and produce distribution.
Explanation: When a question asks which detail "most directly supports" a specific claim, your job is to match evidence to its exact claim. The passage makes two claims: the garden improves food access and helps neighbors form connections. Each piece of evidence supports one claim more than the other, so you need to identify which detail is the closest, most direct proof of the connection claim specifically. The connection claim is about neighbors meeting and bonding with each other. Answer C states that 19 volunteers first met a neighbor while working in the garden — this is a direct, measurable example of people forming new connections as a result of the garden. It doesn't just show participation; it shows the outcome of relationship-building, which is exactly what the claim describes. Answer A describes produce distribution to 46 families, which supports the food access claim, not the connection claim. It tells you nothing about neighbors meeting each other. Answer B tells you 28 residents volunteered, which shows community involvement but doesn't confirm that any social bonds were actually formed — people can volunteer side by side without ever meeting in a meaningful way. Answer D mentions the neighborhood group managing volunteers and distribution, but this is a background organizational detail that doesn't support either claim with specific evidence. The trap here is that B feels related to connection because volunteering is a social activity. But volunteering and forming connections aren't the same thing. Always ask yourself: does this detail prove the outcome the claim describes, or does it just feel related? When a question asks what "most directly" supports a claim, look for the detail that proves the specific outcome — not just the activity that might lead to it.

Question 4

A delivery company is considering a packing workshop for new employees. In a small trial, most participants said they felt more confident after the workshop. The training manager wants to claim that the workshop reduces packing errors.

Which additional evidence would provide the strongest support for the manager's claim?

  1. A record showing that nearly every invited employee attended the full workshop.
  2. A survey showing that employees liked the trainer's examples and speaking style.
  3. A report showing that trained employees packed orders faster during one busy shift.
  4. A comparison showing fewer errors after training on similar types of packing work. (correct answer)
Explanation: When evaluating a claim, you need to ask: does the evidence directly measure what the claim is about? The manager claims the workshop reduces packing errors, so the strongest evidence must show a measurable change in actual error rates — not just feelings, preferences, or speed. Answer D is correct because it provides a direct comparison of error rates before and after training on similar packing tasks. This is exactly what "reduces errors" means — fewer mistakes happening in real work. That kind of before-and-after comparison is called a performance outcome, and it's the gold standard for proving a training program works. The other choices each measure something real, but something different from what the claim requires. Answer A tells you about attendance — who showed up — but attendance says nothing about whether anyone learned or improved. A full room doesn't prove fewer errors. Answer B captures employee opinions about the trainer's style. Liking a presenter is pleasant, but it doesn't show the training changed behavior or reduced mistakes. Answer C shows that trained employees packed faster during one shift. Speed is not the same as accuracy — someone can work quickly and still make errors. Faster packing is a different outcome than fewer errors, so it doesn't support this specific claim. A useful strategy: whenever a question asks which evidence "supports a claim," underline the exact claim and match the evidence to it word for word. Here, the claim says errors — so only evidence about error rates truly counts. Anything measuring attendance, opinions, or a different performance metric is a distractor, no matter how relevant it sounds.

Question 5

A warehouse began sending workers a text reminder ten minutes before the daily safety check. During the month before the change, workers completed 62 percent of the checks on time. During the first month with reminders, they completed 84 percent on time. The check procedure, staffing level, and work schedule did not change.

Which two details provide the strongest support for the manager's claim that the reminders improved on-time completion?

  1. The completion rate increased, and other workplace procedures remained the same. (correct answer)
  2. The reminders arrived by text, and workers performed checks every day.
  3. The manager reviewed one month, and the warehouse employed regular staff.
  4. The safety check was required, and the work schedule remained unchanged.
Explanation: When a question asks you to find the "strongest support" for a claim, you're looking for evidence that both shows the effect and rules out other explanations. This is called isolating a cause — if something else could explain the change, the evidence is weaker. Here, the manager claims the text reminders caused the jump from 62% to 84% on-time completion. To support that claim strongly, you need two things: proof that the outcome changed, and proof that nothing else caused it. Answer A gives you exactly that. The completion rate increasing shows the effect, and the fact that other workplace procedures stayed the same eliminates competing explanations. Together, these two details make a tight, logical case for the reminders being the cause. Answer B mentions how reminders were delivered (text) and how often checks occurred (daily) — but neither of these explains why completion improved. They're background details, not evidence of cause and effect. Answer C focuses on the review period (one month) and staffing type (regular staff) — again, these are contextual facts that don't directly connect the reminders to the improvement. Answer D notes that the check was required and the schedule didn't change. While an unchanged schedule is relevant, the fact that the check was "required" doesn't help explain the improvement — it was required before and after the change. A useful strategy: when evaluating supporting evidence, ask yourself, "Does this detail show the result, or does it explain why nothing else caused it?" Strong causal support almost always needs both — one detail showing change, one ruling out other causes.

Question 6

A health clinic tested text reminders for appointments. In the month before the test, 18 percent of scheduled visits were missed. During the two-month test, 11 percent were missed. The number of scheduled appointments stayed about the same. The clinic did not compare text reminders with another type of reminder.

Which claim is best supported by the evidence in the passage?

  1. Text reminders may have helped reduce missed visits during the clinic's test. (correct answer)
  2. Text reminders will prevent nearly every patient from missing future visits.
  3. Missed visits declined because the clinic scheduled fewer appointments during the test.
  4. Text reminders work better than calls or letters for all clinic patients.
Explanation: When a question asks which claim is "best supported by the evidence," you're being tested on your ability to match conclusions to the actual data — not to what sounds reasonable or what you already believe. Strong evidence supports claims that are careful, limited, and honest about what the study can and can't prove. The passage tells you two things: missed visits dropped from 18% to 11% during the text reminder test, and the number of scheduled appointments stayed roughly the same. That rules out any explanation involving fewer appointments. The drop in missed visits happened while text reminders were in use, so it's reasonable to say the reminders may have helped — which is exactly what answer A says. Notice the careful language: "may have helped." That matches the evidence perfectly, because the clinic only ran a short, single-group test without comparing reminders to anything else. Answer B goes too far by claiming reminders will prevent "nearly every" missed visit. The data shows a reduction, not elimination — and one small test can't support a sweeping prediction about the future. Answer C claims missed visits declined because fewer appointments were scheduled, but the passage directly states appointment numbers stayed the same, making this factually contradicted by the passage. Answer D claims text reminders work better than calls or letters, but the passage explicitly says the clinic did not compare text reminders with any other type of reminder — so there's simply no basis for that comparison. Study tip: Watch for answer choices that use absolute words like "will," "every," or "all." On reading comprehension questions, those sweeping claims are almost always traps — good evidence rarely supports conclusions that strong.

Question 7

The earliest bus to an industrial park arrives at 7:10 a.m., but several businesses there begin shifts at 7:00. In a survey of 55 employees who use public transportation, 41 said they would use a proposed 6:30 bus. Thirty-three of those employees reported that they currently depend on rides from relatives or coworkers.

Why do these details support the claim that a 6:30 bus would help employees reach work?

  1. They show that every employee at the industrial park begins work before 7:10.
  2. They prove that relatives and coworkers will stop providing rides after 6:30.
  3. They show that most businesses require all employees to use public transportation.
  4. They identify a schedule gap and workers who say the earlier bus would meet it. (correct answer)
Explanation: When a question asks why specific details support a claim, you're being tested on your ability to connect evidence to argument. Ask yourself: what problem do the details reveal, and what solution do they point to? The passage gives you two concrete pieces of evidence. First, there's a scheduling gap — shifts start at 7:00 a.m., but the earliest bus doesn't arrive until 7:10, meaning workers on public transit are already late before the day begins. Second, 41 out of 55 surveyed employees said they would use a 6:30 bus, and 33 of those currently rely on rides from family or coworkers to fill that gap. Together, these details identify a real problem (the schedule mismatch) and show demand from actual workers affected by it. That's exactly what D describes — a schedule gap and workers who say the earlier bus would meet it. Choice A goes too far. The passage only mentions that several businesses start at 7:00, not that every employee works before 7:10. Overstated claims like this are a common trap. Choice B invents a consequence the passage never mentions — nothing says relatives will stop giving rides. Watch for answer choices that introduce ideas not found in the text. Choice C is similarly unsupported; the passage says nothing about businesses requiring employees to use public transportation. A good strategy here: when evaluating evidence, stick strictly to what the passage actually says. Wrong answers on these questions often either overstate the evidence (A), invent new information (B), or make claims the passage never addresses (C). D wins because it accurately summarizes what the details show — nothing more, nothing less.

Question 8

A company replaced printed pay statements with electronic statements. The payroll manager claims the change is convenient for employees and reduces paper use. In the first pay period, 72 of 80 employees opened their statements within one day. Over three months, the payroll office used 900 fewer sheets of paper than during the same period the previous year.

Which choice correctly matches each part of the manager's claim with supporting evidence?

  1. Convenience: 900 fewer sheets; reduced paper use: 72 employees opened statements quickly.
  2. Convenience: most employees opened statements quickly; reduced paper use: 900 fewer sheets. (correct answer)
  3. Convenience: statements were electronic; reduced paper use: the company had 80 employees.
  4. Convenience: the manager supported the change; reduced paper use: three months passed.
Explanation: When a question asks you to match a claim to its evidence, your job is to link each specific assertion to the specific fact that actually proves it — not just any fact mentioned in the passage. The manager makes two claims: (1) the change is convenient for employees, and (2) it reduces paper use. Now ask yourself: which piece of evidence speaks to each claim? Convenience means employees can easily access their statements — and the fact that 72 out of 80 employees opened their statements within one day directly shows that. Paper reduction is about how much paper the office saves — and the 900 fewer sheets over three months directly measures that. Choice B correctly pairs each claim with its matching evidence, making it the right answer. Choice A swaps the two pieces of evidence, assigning the paper count to convenience and the quick-access data to paper reduction. The numbers aren't wrong, but they're matched to the wrong claims — a classic mix-up trap. Choice C uses vague, circular reasoning: saying statements were "electronic" doesn't prove convenience, and the number of employees (80) has nothing to do with paper reduction. Choice D is perhaps the weakest option — the manager's personal support for the change doesn't prove convenience, and the passage of three months is just a time frame, not evidence of paper savings. A useful strategy: before looking at the answer choices, underline each part of the claim separately and find the sentence in the passage that best supports each one. If an answer choice uses real details from the passage but in the wrong pairings, that's a deliberate distractor designed to catch careless readers.

Question 9

A food pantry currently offers pickups from 1:00 to 4:00 p.m. In a phone survey, 27 clients said they had missed a pickup because of work. During a four-week evening trial, 22 clients collected food after 5:00 p.m. Of those 22 clients, 18 had missed at least one daytime pickup during the previous two months.

Which evidence most strongly supports the claim that evening hours reach clients who have difficulty using the current hours?

  1. The pantry's regular pickup period lasts for three hours each afternoon.
  2. Twenty-seven surveyed clients said that they had missed a pickup because of work.
  3. Eighteen evening users had recently missed at least one daytime pickup. (correct answer)
  4. Twenty-two clients collected food after 5:00 during the four-week trial.
Explanation: When a question asks which evidence "most strongly supports" a claim, you're being asked to find the fact that directly connects two things — in this case, evening hours and clients who struggled with daytime hours. Look for evidence that shows a clear link, not just a related statistic. The claim is that evening hours reach people who can't use the current afternoon schedule. To support that claim powerfully, you need evidence showing that evening users are specifically the people who were being left out before. That's exactly what C provides: 18 of the 22 evening visitors had already missed at least one daytime pickup in the prior two months. This shows a direct overlap — the evening hours didn't just attract new or casual visitors, they reached people who had previously been unable to come. That's the strongest logical connection to the claim. Choice A simply describes the current hours (1:00–4:00 p.m.) without saying anything about who is being excluded. It's background information, not supporting evidence. Choice B tells you that 27 people reported missing a pickup due to work, which is relevant context, but it doesn't show that the evening trial actually reached those people — it only identifies a problem, not a solution. Choice D reports that 22 people used the evening hours, but raw attendance alone doesn't tell you who those people were or whether they'd been underserved before. A useful strategy: when evaluating supporting evidence, ask yourself, "Does this fact directly prove the claim, or does it only hint at it?" The strongest evidence creates a clear before-and-after or cause-and-effect link — as C does here.

Question 10

A building supervisor recommends brighter motion-activated lights near an apartment entrance. Last winter, seven of the nine reported falls near the building occurred in dimly lit areas. At a similar building nearby, reported entrance falls declined from eight to two during the winter after brighter lights were installed.

Which detail is the strongest evidence that brighter lighting may reduce falls?

  1. Most falls at the apartment building occurred in places described as dimly lit.
  2. A similar building had fewer entrance falls after brighter lights were installed. (correct answer)
  3. The supervisor recommended lights that turn on when they detect nearby movement.
  4. Both apartment buildings remained open to residents throughout the winter season.
Explanation: When a question asks you to identify the strongest evidence for a cause-and-effect claim, look for the detail that most directly shows a connection between the cause (brighter lights) and the effect (fewer falls). The gold standard is a real-world example where the change was made and an improvement actually followed. That's exactly what choice B offers. A comparable building installed brighter lights, and entrance falls dropped from eight to two — a dramatic, measurable decrease. This before-and-after comparison at a similar location gives you the closest thing to proof that the lighting change made a difference. It's not a guarantee, but it's the strongest evidence available because it shows the intervention happening and a result following. Choice A tells you that most falls at the current building happened in dim areas, which suggests a link between poor lighting and falls — but it doesn't show what happens after lighting improves. It's a correlation, not a result of a change. Choice C describes a feature of the recommended lights (motion-activation), which is a detail about the equipment, not evidence that better lighting reduces falls. Choice D states that both buildings stayed open all winter, which is background information that has no bearing on whether lighting affects fall rates. A useful tip: when evaluating evidence, ask yourself, "Does this detail show that the proposed solution actually worked somewhere?" If an answer describes a real outcome after a real change was made, it's almost always stronger than one that simply describes a pattern or a feature.