Integrated Summary Across a Survey and an Operational Study
Two short passages are set for an integrated summary. Passage A: a 2023 survey of 400 remote employees reports that 68% say they are "more productive" at home; the survey was distributed through a company newsletter and had a 22% response rate. Passage B: a call-center study of 1,200 workers finds no change in calls handled per hour after remote work began, and notes that employees who chose remote work were already higher performers. A student's 60-word summary says: "Remote work increases productivity, according to a survey of 400 employees, but a call-center study found no change, so the evidence is mixed." The instructor says this is not wrong but misses two things: the self-report versus objective measure distinction, and the selection effect in Passage B. The student must also avoid implying that Passage A and Passage B measure the same construct.
1. Write a revised 60-word integrated summary. It must name the measure in each passage and avoid saying both studies measured "productivity" in the same sense.
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A 400-employee survey found 68% self-reported higher productivity at home, but its newsletter distribution and 22% response rate limit generalization. A 1,200-worker call-center study found no change in calls per hour, though remote workers were already higher performers. The evidence concerns different measures and samples, not a single productivity effect.
This is about 60 words. It names Passage A's measure as self-reported productivity and Passage B's as calls per hour, an objective output measure. It also names the sample limits: newsletter distribution and 22% response rate in A; prior performance differences in B. The final sentence prevents the reader from treating the two results as direct contradictions. "Not a single productivity effect" is the key correction to the original "evidence is mixed."
2. Explain how the selection effect in Passage B weakens a causal reading, using the passage's own details. Then state what a causal claim would require.
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Passage B says employees who chose remote work were already higher performers. That means the remote and non-remote groups were not comparable before the change. If the remote group was stronger to begin with, "no change in calls per hour" is ambiguous: remote work might have suppressed a further gain, or the groups might have differed in ways unrelated to remote work. The study therefore cannot isolate remote work as the cause of the observed no-change result.
A causal claim would require baseline equivalence, random assignment, or adjustment for prior performance. It would also need to rule out changes in call volume or task mix during the same period. Without those, the safe statement is associational: among these workers, remote work was not accompanied by a measurable change in calls per hour. The passage's own detail about prior performance is the reason to avoid "remote work does not affect productivity."
3. The student's original summary says "the evidence is mixed." What does that phrase hide, and how should the summary signal disagreement instead?
Read the worked answer
"Mixed" hides what is being compared. It suggests two studies looked at the same outcome and reached opposite conclusions. But Passage A measures a self-report of perceived productivity, while Passage B measures calls handled per hour. Different constructs, different samples, and different designs can produce different results without direct contradiction.
A better summary signals disagreement by naming the source of the difference: The studies point in different directions but are not directly comparable: one measures perceived productivity in a small self-selected survey, the other measured calls per hour in a larger operational study with prior performance differences.
This tells the reader whether the disagreement is about the world or about measurement. It also avoids overgeneralizing from either study. The phrase "evidence is mixed" is not false, but it is too coarse for an integrated summary that is supposed to organize information across passages.