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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.

Abus pass costs $5 per week. which of the following equations shows the total cost in dollars, t, of the bus pass for a certain number of weeks, w? t = 5w w = 5t t = 5 + w w = 5 + t

Environmentalists are concerned about emissions of sulfur dioxide into the air. the average number of days per year in which sulfur dioxide levels exceed 150 milligrams per cubic meter in milan, italy, is 29. the number of days per year in which emission limits are exceeded is normally distributed with a standard deviation of 4.0 days. what percentage of the years would exceed 37 days?