For items 1 through 4, select from the first column option list provided the answer for each item that reflects how fund information is reported in the government-wide and fund financial statements. Each choice may be used once, more than once, or not at all. In items 5 through 8, select from the second column option list provided the answer that indicates whether fund information about long-term liabilities and capital assets is reported in the government-wide and fund financial statements. Each financial statement component is reported in each fund.
Item
Information in governmental funds
Information in proprietary funds
Information in fiduciary funds
Government-wide financial statements:
1. Basis of accounting Accrual Accrual Modified cash
2. Measurement focus Current financial resources
Fund financial statements:
3. Basis of accounting Accrual
4. Measurement focus Current financial resources
Government-wide financial statements:
5. Long-term liabilities Yes
6. Capital assets Yes
Fund financial statements:
7. Long-term liabilities Yes
8. Capital assets

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.