Your coworker Shen is really concerned about a project that he has just been assigned. He is in charge of analyzing and determining conditions in the market for televisions from an extensive sales report. If Shen's boss is interested in a graphical representation of the relationship between the price and quantity of televisions demanded, you would advise your coworker to construct using the data provided.

Which of the following is not a characteristic of enterprise applications that cause challenges in implementation? a. they introduce "switching costs," making the firm dependent on the vendor. b. they cause integration difficulties as every vendor uses different data and processes. c. they are complex and time consuming to implement. d. they support "best practices" for each business process and function. e. they require sweeping changes to business processes to work with the software.

Select the correct answer. martha is a healer, a healthcare provider, and an experienced nurse. she wants to share her daily experiences, as well as her 12 years of work knowledge, with people who may be interested in health and healing. which mode of internet communication can martha use? a. wiki b. email c. message board d. chat e. blog

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.