Emily valley is a licensed dentist. during the first month of the operation of her business, the following events and transactions occurred. april 1 invested $20,000 cash in her business. 1 hired a secretary-receptionist at a salary of $700 per week payable monthly. 2 paid office rent for the month $1,100. 3 purchased dental supplies on account from dazzle company $4,000. 10 performed dental services and billed insurance companies $5,100. 11 received $1,000 cash advance from leah mataruka for an implant. 20 received $2,100 cash for services performed from michael santos. 30 paid secretary-receptionist for the month $2,800. 30 paid $2,400 to dazzle for accounts payable due. emily uses the following chart of accounts: no. 101 cash, no. 112 accounts receivable, no. 126 supplies, no. 201 accounts payable, no. 209 unearned service revenue, no. 301 owner’s capital, no. 400 service revenue, no. 726 salaries and wages expense, and no. 729 rent expense. instructions (a) journalize the transactions. (b) post to the ledger accounts. (c) prepare a trial balance on april 30, 2017.

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.