Recently, the Boeing Commercial Airline Group (BCAG) recorded orders for more than 15,000 jetliners and delivered more than 13,000 airplanes. To maintain is output volume, this Boeing division combines efforts of capital and more than 90,000 workers. Suppose the European company, Airbus, enjoys a similar production technology and produces a similar number of air craft, but that labor costs (including fringe benefits) are higher in Europe than in the United states. Would you expect workers at Airbus to have the same marginal product as workers at Boeing? Explain carefully.

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.