In the case of dormant cracks wider than about 1m, it is more economical to use

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.

Health insurance protects you if you experience any of the following except: a: if you have to be hospitalized b: if you damage someone's property c: if you need to visit a clinic d: if you can't work because of illness

To increase sales, robert sends out a newsletter to his customers each month, letting them know about new products and ways in which to use them. in order to protect his customers' privacy, he uses this field when addressing his e-mail. attach bcc forward to