Employees are quitting at an alarming rate from a classy multi-star hotel. What can the HR team there do to find out the reason for quitting and retain good employees? А. talk to the colleagues of the quitting employees

B. call up the previous employers of the quitting employees

C. schedule exit interviews with the quitting employees and take corrective action based on their findings

D. conduct informal discussions with the family members of the quitting employees

E. probe all details about the new place that the quitting employees are joining

Chester has a credit score of 595 according to the following table his credit rating is considered to be which of these

During 2016, nike inc., reported net income of $3,760 million. the company declared dividends of $1,022 million. the closing entry for dividends would include which of the following? select one: a. credit cash for $1,022 million b. credit dividends for $1,022 million c. debit net income for $1,022 million d. credit retained earnings for $1,022 million e. debit dividends for $1,022 million

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.