A well-known actor sued a resort hotel for damages to his new limited edition sports car caused by the hotel's parking valet while the actor was a guest at the hotel. His lawsuit, based on theories of respondeat superior and negligent hiring, alleged that after he gave the valet the keys, the valet, who had been working for the hotel for nine months, took the car for a drive without permission and negligently drove it into a tree, causing extensive damage to the car. At trial, the actor's counsel offers evidence that six months before the accident, but three months after the valet was hired, the hotel instituted new hiring procedures for all potential employees, including parking valets. Included in the new rules was a requirement that all persons must pass a thorough background check before being hired. The valet had been required only to have a valid driver's license when he was hired. In fact, he had an extensive record of traffic offenses at the time he was hired. Is the evidence regarding the new employment requirements admissible

1  2  3  4  5  6  7  8  9  10time remaining59: 30in  the dark game, how does the author develop the central idea that elizabeth van lew was a spymaster during the civil war? 1 2 3 4 5 6 7 8 9 10time remaining59: 30in the dark game, how does the author develop the central idea that elizabeth van lew was a spymaster during the civil war?

Asmartphone manufacturing company uses social media to achieve different business objectives. match each social media activity of the company to the objective it the company achieve.

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.