Presented below is the ledger for swifty corporation. cash no. 101 10/1 5,700 10/4 430 10/10 660 10/12 1,260 10/10 3,600 10/15 250 10/20 450 10/30 470 10/25 2,400 10/31 500 accounts receivable no. 112 10/6 900 10/20 450 10/20 500 supplies no. 126 10/4 430 equipment no. 157 10/3 3,200 notes payable no. 200 10/10 3,600 accounts payable no. 201 10/12 1,260 10/3 3,200 common stock no. 311 10/1 5,700 10/25 2,400 dividends no. 332 10/30 470 service revenue no. 400 10/6 900 10/10 660 10/20 500 salaries and wages expense no. 726 10/31 500 rent expense no. 729 10/15 250 collapse question reproduce the journal entries for the transactions that occurred on october 1, 10, and 20

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.