Grouped by claim rather than by study, the GB794 Unit 9 evidence summary sets out what five advertising measurement papers jointly support, contest and leave untested. Searches like "gb 794 unit 9 assignment example", "gb794 unit 9 sample" and "gb794 unit 9 example" land here.
What a finished GB794 Unit 9 evidence summary looks like
Six pages built around one table and three claims. The table lists each study with its setting, design, sample and headline result: Lewis and Rao's 25 display experiments at Yahoo, Blake, Nosko and Tadelis on eBay search, Johnson, Lewis and Nubbemeyer's ghost-ad method, Gordon and colleagues comparing observational estimates with 15 Facebook experiments, and Shapiro, Hitsch and Tuchman's television elasticities across 288 brands. Three claims follow, each graded by how many studies bear on it and how directly. The first, that observational methods tend to overstate advertising effects, is rated well supported. The second, that effects are small relative to sales noise, is rated supported. The third, that effects concentrate among less familiar customers, is rated suggestive. What the set cannot say fills the final section.
How a GB794 Unit 9 example is structured
Organizing by claim instead of by study is the summary's main decision, and the opening paragraph defends it: five abstracts in sequence would leave the reader to do the synthesis. Each claim section follows one order, statement, supporting studies, strength of design, contrary evidence and remaining doubt, so the grades can be compared directly. Strength is judged by design first, since four of the five papers rest on randomized experiments while the television study relies on variation across neighboring broadcast markets, and the summary says how that difference affects confidence. Scope limits get a section of their own because every study examines large advertisers with national reach. Last, the summary turns to the grocer and marks which conclusions plausibly transfer, the overstatement in platform reports above all, and which would require Kestrel's own tests.
One table, five studies
Setting, design, sample and result in four columns. Keeping the table to what each paper actually reported, and nothing it implied, gives later claims a checkable base and stops the summary from quietly extending any study beyond its own evidence.
Claim one: observational methods overstate
Gordon and colleagues supply the most direct test, comparing matching and regression estimates with experimental benchmarks and finding frequent large overstatements. Blake, Nosko and Tadelis corroborate in search. The summary rates the claim well supported while noting how widely the overstatement varied.
Claim two: small effects, noisy sales
Lewis and Rao show why precise measurement is expensive, and Shapiro, Hitsch and Tuchman find television elasticities far smaller than earlier literature reported. Different media and methods converge, which strengthens the claim beyond what either paper could manage alone.
Claim three, rated suggestive
Only eBay's search experiment speaks directly to effects concentrated among infrequent customers. One study in one setting cannot carry a general claim, and the summary grades it accordingly, refusing to let a memorable finding outrank its evidence.
What the set cannot say
Nothing here measures long-run brand building, small regional advertisers or in-store sales, and nearly every campaign ran briefly. Listing those silences explicitly is what separates a summary from advocacy for the conclusion its writer prefers.
Where marks go in GB794 Unit 9
Summaries that report studies one after another, however accurately, leave the synthesis undone, and GB794 sections expect claims to organize the page. Grading every claim as strongly supported flattens the evidence; graders look for differences in confidence that follow from design and from the number of studies. Misstating a study's setting or sample is marked directly, for instance treating the Facebook comparison as a single experiment or the television paper as randomized. Contrary or limiting evidence belongs inside each claim section, and summaries saving every caveat for a closing paragraph read as reluctant. The scope section carries more weight than its length suggests, since a doctoral reader wants to know where the evidence stops. Transfer to the candidate's own setting should be selective; declaring that everything applies to a regional grocer overreaches.
Get a GB794 Unit 9 example written to your instructions
Which studies does your section expect summarized, or what question needs evidence gathered? Include that with the Unit 9 instructions and rubric. Organized by claim, the summary grades each on design and number of studies and names what the set leaves untested. Turnaround is usually 24-48h, with no fee for the first sample.
GB794 Unit 9 questions, answered
How is an evidence summary different from a literature review?
A literature review typically maps a field and positions a study within it. An evidence summary is narrower: it takes a defined set of studies and states what they support together, how strongly and where they stop. In GB794 it often feeds a later paper's argument, so the claims and their grades matter more than coverage of every related source.
Should the summary grade evidence with a formal system?
Some sections name one, and the instructions govern. Where none is required, a transparent scheme stated at the start works well: design strength, number of independent studies and consistency of results. Formal systems from medicine, such as GRADE, can be adapted, but applying them mechanically to marketing field experiments sometimes produces odd results the paper should explain.
Can industry white papers be included?
They can be listed, but they are graded separately and usually lower. A vendor report on attribution may describe a useful case while lacking a disclosed design, sample or independent review. The summary can note what such sources claim and explain why they carry less weight, which demonstrates the appraisal skill the unit is assessing.