In the context of customer satisfaction, which of the following happens when a marketer falls into the trap of underpromising?

John novosel was employed by nationwide insurance company for fifteen years. novosel had been a model employee and, at the time of discharge, was a district claims manager and a candidate for the position of division claims manager. during novosel's fifteenth year of employment, nationwide circulated a memorandum requesting the participation of all employees in an effort to lobby the pennsylvania state legislature for the passage of a certain bill before the body. novosel, who had privately indicated his disagreement with nationwide's political views, refused to lend his support to the lobby, and his employment with nationwide was terminated. novosel brought two separate claims against nationwide, arguing, first, that his discharge for refusing to lobby the state legislature on behalf of nationwide constituted the tort of wrongful discharge in that it was arbitrary, malicious, and contrary to public policy. novosel also contended that nationwide breached an implied contract guaranteeing continued employment so long as his job performance was satisfactory. what decision as to each claim?

142"what is the value of n? soefon11402bebe99918+19: 00esseeshop60-990 0esle

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.