Assume you are the president of high power corporation. at the end of the first year of operations (december 31), the following financial data for the company are available: accounts payable $ 34,000 accounts receivable 12,400 cash 15,200 common stock 60,990 dividends 2,140 equipment 98,000 notes payable 2,390 operating expenses 60,300 other expenses 8,040 sales revenue 105,600 supplies 6,900 2-a. by how much did cash increase (decrease)? 2-b. which financial statement would report the business activities responsible for the change in cash? income statement statement of retained earnings balance sheet statement of cash flows

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.