The is not a necessary part of the design of good software

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.

True or false payroll withholding includes income tax, social security tax, medicare tax as well as money you deduct for your retirement fund.

The upper-level managers of synergy technology are meeting for the week to look at the long-term company goals and overall direction of the organization. the ceo has expressed her concern over the economy and has told her managers to look closely at the environment outside the organization before making decisions and to be future oriented. in this meeting, top managers of synergy are