It my birthday

r at e me plzz
and how old do i look

Who has summer school : ( because i do : (

Trecek corporation incurs research and development costs of $625,000 in 2017, 30 percent of which relate to development activities subsequent to ias 38 criteria having been met that indicate an intangible asset has been created. the newly developed product is brought to market in january 2018 and is expected to generate sales revenue for 10 years. assume that a u.s.–based company is issuing securities to foreign investors who require financial statements prepared in accordance with ifrs. thus, adjustments to convert from u.s. gaap to ifrs must be made. ignore income taxes. required: (a) prepare journal entries for research and development costs for the years ending december 31, 2017, and december 31, 2018, under (1) u.s. gaap and (2) ifrs. (c) prepare the entry(ies) that trecek would make on the december 31, 2017, and december 31, 2018, conversion worksheets to convert u.s. gaap balances to ifrs.

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.