The smartphone industry has been revolutionized in the past five years. The emergence of industry operating system front-runners Apple and Android has led to complete and total dominance of the market. While each company would be included in releases of newer, better, and technologically improved smartphones each year, the difference in technology from each newer version is getting less and less distinguishable. One could argue that the smartphone industry is reaching its:

a. disruptive technology.
b. decline.
c. natural limit.
d. technological paradigm shift.

Part i a company's cereal is not selling well. create a 10-15-question survey that measures customers' preferences for the company's cereal product. then, answer the following questions: how many scale items will you put in the survey? justify your answer. will you use multiple-choice questions? why or why not? how many scale points will you use in the survey? justify your answer. what data type will be used in the survey? justify your answer. part ii as a second part of this assignment, create a set of survey questions, assuming that you sell cars. you are attempting to measure how customers perceive the quality of the cars that you sell. create three survey questions with simple category scales. justify why you selected those questions and scales. create three survey questions with multiple-choice, single-response scales. justify why you selected those questions and scales. create three survey questions with multiple-choice, multiple-response scales. justify why you selected those questions and scales. create three survey questions with likert scale summated ratings. justify why you selected those questions and scales.

Match the various steps in the creative process undertaken by the ad agency for developing the campaign for wpu, to the steps in young's model of the creative process.creative process in developing wpu's campaignyoung's modelafter intensive analysis of the data and several rounds of brainstorming, the agency executives decided to take a break from this project (the wpu campaign), and instead work on a different client's project before tackling the wpu project again.using a combination of animatics and storyboards, the ad agency conducted research with a representative sample of sixty target consumers to pretest the campaign theme and the creative execution.during a brainstorming session in the creative department, a copywriter's suggestion for a slogan for wpu was recognized as an excellent central idea that could drive the campaign for wpu.the account planning, account management and creative departments at the ad agency had a series of meetings and brainstorming sessions to discuss the creative brief and the results of all the primary and secondary research done with the target consumers.the account planning and the account management groups at the ad agency conducted primary research with a representative sample of the target segment and also studied secondary research data to gain insights required for the campaign development process.

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.