Madeline rollins is trying to decide whether she can afford a loan she needs in order to go to chiropractic school. right now, madeline is living at home and works in a shoe store, earning a gross income of $820 per month. her employer deducts a total of $145 for taxes from her monthly pay. madeline also pays $95 on several credit card debts each month. the loan she needs for chiropractic school will cost an additional $120 per month.

Wilson company paid $5,000 for a 4-month insurance premium in advance on november 1, with coverage beginning on that date. the balance in the prepaid insurance account before adjustment at the end of the year is $5,000, and no adjustments had been made previously. the adjusting entry required on december 31 is: (a) debit cash. $5,000: credit prepaid insurance. $5,000. (b) debit prepaid insurance. $2,500: credit insurance expense. $2500. (c) debit prepaid insurance. $1250: credit insurance expense. $1250. (d) debit insurance expense. $1250: credit prepaid insurance. $1250. (e) debit insurance expense. $2500: credit prepaid insurance. $2500.

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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.