PUBH 8502 keeps the errors in its Week 4 pilot search log example, where a first sweep's misfires, a missing known study and each resulting string revision are recorded. Searches like "pubh 8502 week 4 assignment example", "pubh8502 week 4 sample" and "pubh 8502 week 4 example" land here.
What a finished PUBH 8502 Week 4 pilot search log looks like
The log is a dated table followed by a page of revisions. Each row records the database, the date run, the exact string, the number of results, a note on what the first fifty titles looked like, and a verdict: keep, revise or abandon. Several rows are marked revise. A subject heading for viral hepatitis pulled in large numbers of hepatitis B studies, so the heading was narrowed. The free-text term reflex matched papers on neurological reflexes and needed pairing with testing terms. A date limit was applied in one database and forgotten in another, caught when result counts looked inconsistent. The most important row records a known-item test: a study the author knew to be relevant did not appear, and tracing why led to a missing synonym. The revisions page lists each change and the row that prompted it.
How a PUBH 8502 Week 4 example is structured
A table comes first because a log is a record of runs, and each run needs the same fields to be comparable with the next. Result counts are kept even for failed strings, since a count that jumps after revision is evidence the revision did something. The first-fifty-titles note is the log's most practical column, recording what the results were actually made of rather than only how many there were. Errors stay in the table, marked, instead of being quietly corrected, because the prompt asks for what the sweep returned with its flaws visible. The known-item test is placed last in the table and first in the revisions, since it produced the most important change. Separating revisions onto their own page lets a reader follow each change back to the row that caused it.
Same fields for every run
Database, date, exact string, result count, a note on the first fifty titles and a verdict for each row.
Hepatitis B in the results
A broad subject heading swept in the wrong virus, and the row shows how it was narrowed.
Reflex, the wrong kind
A free-text term matched neurological papers until it was paired with testing vocabulary.
A date limit forgotten
Applied in one database and not another, caught because the counts did not line up.
The study that went missing
A known relevant paper absent from the results, traced to a missing synonym and fixed.
Where marks go in PUBH 8502 Week 4
Honesty about what went wrong earns more here than any number of clean results. A log listing only successful strings looks like a record reconstructed after the fact, and faculty read it that way. Keeping failures in the table, verdicts attached, is how the example secures the central criterion. The known-item test is credited heavily because it is the single best check a lone searcher has, and it produced a real change. Specificity counts in the title notes: saying results were mostly hepatitis B studies tells a reader something, while calling results irrelevant does not. Consistent fields across rows draw credit for making runs comparable. A log is discounted when counts are missing, when revisions appear without the row that prompted them, or when the same error recurs across databases unremarked.
Get a PUBH 8502 Week 4 example written to your instructions
Paste the strings you ran and roughly what came back, even if the results disappointed, then the Week 4 prompt and rubric. The log records each run, its misfires and the revision it led to. The first one is free, in 24 to 48 hours; the known study and the counts in this example are placeholders.
PUBH 8502 Week 4 questions, answered
Should a pilot search log include searches that failed?
Yes. The prompt asks for what the sweep returned, flaws included, and failed strings are often the most informative rows. A log with only successes suggests reconstruction. Keeping the failures, with a verdict and the revision they prompted, shows your final strategy was tested rather than assumed. It also answers the later question of why an obvious term was dropped or added.
What is a known-item test?
It means checking whether a search retrieves studies you already know are relevant. If one is missing, the string has a gap, and tracing why usually reveals a missing synonym or an overly narrow heading. It is the simplest quality check available to a single searcher, and it prompted the log's single largest correction.
How many databases should a pilot search cover?
Usually the same ones the full strategy names, since the pilot's purpose is to test those strings. The example runs all three. If your strategy includes gray literature, a brief pilot of one agency source can also be worthwhile, though many sections expect only database pilots at this stage.