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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.

At december 31, 2016, pina corporation had the following stock outstanding. 10% cumulative preferred stock, $100 par, 107,810 shares $10,781,000 common stock, $5 par, 4,026,000 shares 20,130,000 during 2017, pina did not issue any additional common stock. the following also occurred during 2017. income from continuing operations before taxes $21,950,000 discontinued operations (loss before taxes) $3,505,000 preferred dividends declared $1,078,100 common dividends declared $2,300,000 effective tax rate 35 % compute earnings per share data as it should appear in the 2017 income statement of pina corporation

Answer the questions about keynesian theory, market economics, and government policy. keynes believed that there were "sticky" wages and that recessions are caused by increases in prices. decreases in supply. decreases in aggregate demand (ad). increases in unemployment. keynes believed the government should increase ad through increased government spending, but not tax cuts. control wages to increase employment because of sticky wages. increase employment through tax cuts only. increase as through tax cuts. increase ad through either increased government spending or tax cuts. intervene when individual markets fail by controlling prices and production.