As leisure-time gaming, inc.'s business and product lines continue to grow, it wants to limit the need to build additional space to house programmers and other personnel who work on new products. the company has strategically decided to adopt so skilled employees can work from remote locations.

Eager, a tipped employee, reported to his employer that he had received $320 in tips during march. on the next payday, april 4, he was paid his regular salary of $250. the amount of oasdi taxes to withhold from eager’s pay is a. $19.84 b. $15.50 c. $35.34 d. $43.61 e. none of the above. 2 points

Gwen, a manager at exude apparels inc., received a message from a customer requesting a replacement for a purchased pair of shoes. exude apparels has a clearly stated no-return policy. gwen responded to the customer denying the request in a tactful and clear manner. despite this, the customer submitted a second request. in this scenario, which of the following is an appropriate response to the second request?

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.