Kim received a 1/3 profits and capital interest in Bright Line, LLC in exchange for legal services she provided. In addition to her share of partnership profits or losses, she receives a $34,000 guaranteed payment each year for ongoing services she provides to the LLC. For X4, Bright Line reported the following revenues and expenses: Sales - $154,000, Cost of Goods Sold - $94,000, Depreciation Expense - $50,000, Long-Term Capital Gains - $19,000, Qualified Dividends - $6,400, and Municipal Bond Interest - $3,400. How much ordinary business income (loss) will Bright Line allocate to Kim on her Schedule K-1 for X4? a) ($24,000).
b) $200.
c) $3,600.
d) $10,000.
None of the choices will be reported as ordinary business income (loss) on Schedule K-1.

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.