How can a reader differentiate procedural claims from empirical claims in a non-fiction text?

How can a reader differentiate procedural claims from empirical claims in a non-fiction text?

• A. Check for explicit steps or methods versus data and experiments; evaluate sufficiency and reliability
• B. Rely on the author’s credentials alone
• C. Count the number of pages to determine the type of claim
• D. Assume all claims are equally credible without evaluation

Answer: (A)

In non-fiction writing, procedural claims are about how to do something—the explicit steps, methods, or processes you would follow. Empirical claims, by contrast, rest on evidence gathered from data, experiments, or observations, and they usually reference results, measurements, or findings. To tell them apart, look for explicit instructions or a described protocol on how to accomplish something versus references to data, experiments, charts, or statistics that support a conclusion. So, the best approach here is to check for explicit steps or methods when judging a claim, and for data or experiments when judging another. For example, a passage that says how to perform a procedure, with steps and conditions, is procedural. A passage that reports results from an experiment or survey, with numbers, samples, and outcomes, is empirical. Evaluating sufficiency and reliability also matters: is the procedure described in enough detail to be replicable, and are the sources or procedures credible? For empirical claims, are the data and methods clearly explained, with appropriate sample sizes and controls, so the conclusions are supported? The other options don’t address the distinction between how-to instructions and evidence-based conclusions. Relying on the author’s credentials alone doesn’t reveal the type of claim. Counting pages or assuming all claims are equally credible misses the core point, which is whether the claim is backed by described methods or by data and experiments.

In non-fiction writing, procedural claims are about how to do something—the explicit steps, methods, or processes you would follow. Empirical claims, by contrast, rest on evidence gathered from data, experiments, or observations, and they usually reference results, measurements, or findings. To tell them apart, look for explicit instructions or a described protocol on how to accomplish something versus references to data, experiments, charts, or statistics that support a conclusion.

So, the best approach here is to check for explicit steps or methods when judging a claim, and for data or experiments when judging another. For example, a passage that says how to perform a procedure, with steps and conditions, is procedural. A passage that reports results from an experiment or survey, with numbers, samples, and outcomes, is empirical. Evaluating sufficiency and reliability also matters: is the procedure described in enough detail to be replicable, and are the sources or procedures credible? For empirical claims, are the data and methods clearly explained, with appropriate sample sizes and controls, so the conclusions are supported?

The other options don’t address the distinction between how-to instructions and evidence-based conclusions. Relying on the author’s credentials alone doesn’t reveal the type of claim. Counting pages or assuming all claims are equally credible misses the core point, which is whether the claim is backed by described methods or by data and experiments.