If you were trying to decide whether to take out an auto loan for $6500 to buy your first car, thereby allowing you to commute for an impressive summer internship program next year, would that loan meet the requirements?

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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.

Adamson company manufactures four lines of garden tools. as a result of an activity analysis, the accounting department has identified eight activity cost pools. each of the product lines is produced in large batches, with the whole plant devoted to one product at a time. classify each of the following activities or costs as either unit-level, batch-level, product-level, or facility-level. activities (a) machining parts. (b) product design. (c) plant maintenance. (d) machine setup. (e) assembling parts. (f) purchasing raw materials. (g) property taxes. (h) painting.