Find a research article of your choice. Discuss what the article was about and answer the following questions:
- What was the IV?
- What was the DV?
- What was the experimental design?
- What was the statistical analysis?
- What was the researcher's interpretation?
In your opinion, was this a good research design or not? Provide analysis of the overall design.© BrainMass Inc. brainmass.com October 7, 2022, 6:20 pm ad1c9bdddf
SOLUTION This solution is FREE courtesy of BrainMass!
The independent variable (IV) is the one that an experimenter can change and is not affected by other variables, whereas the dependent variable (DV) is the one that is dependent on the independent variable, and thus changes in accordance to changes in the IV. In identifying them in a research paper, look for variables that the experimenter is controlling for. For example, in experiments I used to run, the amount of morphine I gave my animals was the independent variable. It is changed by the experimenter, and is not affected by any other variable besides how much I decide to inject. In identifying the dependent variable, look for the variable the research paper is trying to study the most, the reason behind doing the experiment in the first place. In my experiments' case, it would be the time needed to perform a certain behavioral task, which should be affected by how much morphine I inject into the animal.
Identifying the experimental design shouldn't be too hard. A research article, or at least, one in any scientific journal, will have a methods section listed out. In it, you will find all the details regarding how they performed their experiment, and by extension, their experimental design. In answering the question, talk about the general design of the experiments. Here's an example of how I might talk about some work I did two years ago, in terms of experimental design:
Prior to experimentation, rats (n = 36) were trained in an operant box on fixed ratio 1 and 3 schedules, followed by discrimination training. Rats were then injected subcutaneously with morphine, then placed into operant boxes to perform a previously learned task (which, for my previous lab's sake, I cannot specify).
Also within the methods section, sometimes under its own subheading, are the details regarding statistical analysis. The specific formulations (e.g. Mann-Whitney tests, ANOVA) should be listed there.
The researcher's interpretation of the results are their conclusions. Read the discussion section of the paper, which will give you an idea of what they have concluded from their data. Looking at the abstract at the very beginning of the paper can also help identify their general conclusions, but you will want to detail the specifics of their interpretation, which will be available in the Discussion section.
As for good research design and an analysis, the question is essentially asking you for critique. Is there anything that, while you read the paper, you can think of which hasn't been controlled for? Anything that looks a little unsure to you? Anything that could have been done better? Do you agree with their interpretation of the results, or are there alternative theories they have not ruled out? Sometimes the Discussion section will actually talk about alternative explanations to their data that they have not been able to control for. Even if they don't, many times there are alternate explanations to the data, especially if you pick a research topic with many influential factors.
Some things you might want to look for, and if missing, point out: is their sample representative of whatever population they are studying? Can the experimental design be replicated across the various subjects they have, or is the design inherently variable between subjects?© BrainMass Inc. brainmass.com October 7, 2022, 6:20 pm ad1c9bdddf>