You are a director in the andrews corporation. your boss called you to inform you that there is a proposed layoff in your department which would affect three of six of your employees if it takes place. given the sensitivity of the issue, your boss asks you to keep this information absolutely confidential. later that day, one of your employees (shelia) who would be affected stops you in the hallway and says she’s heard rumors about a layoff, remarking "i’m not going to be fired am i? " the layoff in fact does occur and you now have to deliver the bad news to your employees. it’s likely to send shockwaves through the organization and there will no doubt be considerable bad press associated with the layoff. with which of the following issues should you be most concerned when talking with shelia? making certain that she has a chance to air any negative feelings so she doesn’t feel a need to go the local newspaper.
making sure that shelia understands the economic need for laying-off staff.
clearly communicating that it’s not personal and that she has been a valuable employee.
ensuring that shelia understands the process for how she was selected as one of the employees to be terminated.

What should a food worker use to retrieve ice from an ice machine?

What is marketing’s contribution to the new product development team? a. technical expertise needed to translate designs into an actual product/service. b. deep customer insight that leads to product ideas. c. ability to assess financial viability d. feedback on design as well as how customers will actually use the product e. technical expertise needed to translate concepts into product/service designs.

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.