You are an administrative assistant to the human resources manager for a manufacturing firm. Your firm
has 300 employees. The human resources manager
asks you to research the firm's wage policy regarding
the 230 employees paid on an hourly basis.
How would you determine the firm's wage level
when compared to other firms in your geographic
area?
In what ways could you determine the firm's wage
structure within the firm?
How can you evaluate the individual wages paid to
each of the 230 workers paid on an hourly basis?
.
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Grace period is a period of time before the credit card company starts charging late fees.truefalse

Side bar toggle icon performance in last 10 qs hard easy performance in last 10 questions - there are '3' correct answers, '3' wrong answers, '0' skipped answers, '1' partially correct answers about this question question difficulty difficulty 60% 42.2% students got it correct study this topic • demonstrate an understanding of sampling distributions question number q 3.8: choose the correct estimate for the standard error using the 95% rule.

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.