Suppose the demand for cherries sold from roadside stands in Michigan is perfectly elastic. The owner of one roadside stand raises the price of cherries by 10%, as a result 1 point A. Zero cherries are sold at this stand. B. No change in the quantity demanded at this stand. C. A 10% decrease in the quantity demanded at this stand. D. A 10% increase in the quantity demanded at this stand. E. All available cherries will be sold.

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e. g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.