Many firms develop to answer the question: who is your target market?

Which statement best describes the variety of workplaces commonly found in the health science career cluster? a. workplaces in this cluster include healthcare facilities such as hospitals, physician offices, and clinics. b. workplaces in this cluster include healthcare facilities, laboratories, and other environments such as offices or homes. c . workplaces in this cluster include nonprofit hospitals, government-run clinics, and private physicians' offices. d. workplaces in this cluster include private and nonprofit hospitals and clinics, and dentists' offices.

Leticia has worked for 20 years in the public relations department of a large firm and has been the vice-president for the past ten years. it is unlikely she will ever be promoted to the top executive position in her firm even though she has directed several successful projects and is quite capable. her lack of promotion is an illustration of (a) the "glass ceiling" (b) the "glass elevator" (c) the "mommy track" (d) sexual harassment

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.