Final answer:
Jazlyn's large and diverse sample size reduces the risk of GAGES confounds impacting her experiment. However, without details on specific controls, there is still a risk of lurking variables affecting the outcomes. Proper control for GAGES confounds is necessary for the validity of experimental results.
Step-by-step explanation:
Jazlyn's experiment on multi-tasking and problem-solving, particularly with a focus on the effects of time pressure leading to more errors, touches upon the concept of confounds within experimental designs. GAGES confounds refer to various factors such as demographics, environmental conditions and psychological states that could unintentionally influence the outcome of experiments. Given that Jazlyn's sample was both ethnically and economically diverse, and the sample size was very large (n = 1,000), she may have a more representative sample, which reduces the risk of such confounds. However, without knowing the specific controls she put in place, there can still be concerns regarding other potential lurking variables that might have affected the outcomes.
Since Jazlyn found a clear correlation between time pressure and performance, if she controlled well for other variables, this would strengthen her findings. In real-life experiments, controlling for GAGES confounds is critical to ensure that the results are attributable solely to the independent variable being tested, which in this case is the amount of time pressure. If Jazlyn did appropriately control for these potential confounds in her experimental design, she should have fewer worries about them negatively impacting the validity of her results.