Why might a small company with limited resources NOT want to use the DAGMAR approach to setting objectives?A) DAGMAR does not support the use of communications objectives. B) DAGMAR requires managers to use more subjectivity in setting objectives than other methods. C) Small companies are unlikely to want to spend money on marketing research to develop benchmark measures and track advertising effects. D) Small companies often cannot identify their real target audience. E) All of the above are reasons why a small company with limited resources may not want to use the DAGMAR approach to setting objectives.

Maker-bot corporation has 10,000 shares of 10%, $90 par value, cumulative preferred stock outstanding since its inception. no dividends were declared in the first two years. if the company pays $400,000 of dividends in the third year, how much will common stockholders receive?

Based on the supply and demand theory, why do medical doctors earn higher wages than child-care workers?

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.