A finished PSY-380 Topic 7 research article statistics critique example, testing whether a published paper's conclusions are supported by the analysis it reports. Searches like "psy 380 topic 7 assignment example", "psy380 topic 7 sample" and "psy-380 topic 7 example" land here.
What a finished PSY-380 Topic 7 research article statistics critique looks like
The finished critique moves through the article's numbers rather than its abstract. It records the design, who took part and how many, since a conclusion about a population rests on how that sample was obtained. It identifies the analysis run and asks whether the design entitled the authors to it. Reported results are re-read closely: the direction of the effect, the exact probability where given, whether a magnitude was reported and whether an interval accompanied it. The critique then compares the results section with the discussion, marking any place where a correlational finding acquires causal language or a subgroup result becomes a general claim. Alternative explanations the design cannot exclude are named. The closing passage states what the study does establish, which is usually something.
How a PSY-380 Topic 7 example is structured
The critique follows the article's own order so that nothing is judged before its evidence is on the table. It opens with the research question and the design used to address it, stated in the critique's own words rather than quoted. A second section examines the sample, its size and how participants were recruited, since generalization depends on both. A third section works through the analyses, asking whether each suited the design and whether assumptions were addressed. A fourth section reads the reported results for completeness, noting what is present and what is missing. A fifth section compares claims in the discussion against those results, quoting the sentence where the two diverge. The closing section states what the study supports and what it would take to support more.
The design recovered in plain words
Restating what was done rather than quoting the abstract forces the critique to understand the study before evaluating it.
Sample examined before conclusions
Who took part, how many and how they were recruited set the boundary on any population the authors want to talk about.
Analysis matched against design
The critique asks whether the procedure used was entitled to the data, which is prior to any question about the result.
Results read for what is missing
Absent magnitudes, absent intervals and probabilities reported only as below a threshold are noted as gaps in reporting.
Discussion compared with results
Where the later text claims more than the analysis delivered, the critique quotes the sentence and says exactly what exceeded the evidence.
Where marks go in PSY-380 Topic 7
Critiques lose most by summarizing the article instead of assessing it, which produces an accurate account that judges nothing. Criticism of writing style, journal choice or topic relevance sits outside what this rubric measures. Declaring a sample too small, with no reference to the effect the study was looking for, is an assertion rather than an analysis. Missing the causal language in a discussion of correlational data leaves the article's main overreach untouched, and it is the one instructors most expect to see caught. Critiques that find nothing supportable are as unbalanced as those that find no fault. Quoting the abstract as evidence of what was found skips the results section entirely.
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Send the PSY-380 Topic 7 assignment instructions, the rubric from your classroom and the article your section assigned or the one you selected. We write a custom example against those criteria, with the design recovered, the analysis tested against it, the reporting checked for gaps and the discussion held to the results, in 24 to 48 hours. The first one is free.
PSY-380 Topic 7 questions, answered
How do I critique statistics I have not been taught?
Work with what the course covers, which reaches further than it seems. Whether the design permits a causal claim, whether the sample supports the population being described, whether magnitudes and intervals were reported, and whether the discussion stays inside the results are all answerable without knowing the mechanics of an unfamiliar procedure. Say plainly which parts you assessed and which you did not.
What if the article looks sound throughout?
Then say so and show the checking that led there. A critique is an evaluation, not a hunt for faults, and a well conducted study read carefully still yields limits the authors themselves would acknowledge, usually about the sample or the population the findings extend to. Manufacturing objections to fill a section is more visible than reporting a study that held up.
Where does causal language usually creep in?
In the discussion, after a results section that was careful. Papers reporting associations between measured variables frequently shift to words like leads to, produces or reduces once the numbers are behind them. Quoting the sentence, naming the design that cannot support it and stating what would have been needed is one of the most reliable ways to earn marks on this topic.