15 mention the sources of quantitative data Surveys whether conducted online by

# 15 mention the sources of quantitative data surveys

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15. mention the sources of quantitative data. Surveys : whether conducted online, by phone or in person. These rely on the same questions being asked in the same way to a large number of people; Observations : which may either involve counting the number of times that a particular phenomenon occurs, such as how often a particular word is used in interviews, or coding observational data to translate it into numbers; and Secondary data : such as company accounts.
16. Give 4 examples of qualitative research methods. 1. One-on-one interviews. 2. Focus groups 3. Panels 4. Test markets. 17. When identifying the quantity of data required, the first question you need to answer before collecting data is, ‘Do I have to contact everybody in the population of interest, or do I contact a small section?’ In most research situations, you would collect the data from a sample of the population of interest. What is meant by sampling? Sampling is a process where a small portion of the population is used to collect data from which judgements are made about the entire population. 18. What are the 4 main steps involved in designing samples? 1. Define the population 2. Construct the sample frame 3. Decide on sampling method Probability sampling Simple random sampling Systematic or sequential sampling Stratified sampling Cluster sampling Non-probability sampling Convenience sampling Judgement sampling Quota sampling Network, or snowball, sampling Determine sample size 19. What are the 4 main things you need to consider when deciding how to process the data gathered? 1. The type of analysis that will be required 2. The amount of data to be collected 3. The available budget
4. The time available. 20. what are the requirements to design and execute market research operations? Without research, it is impossible to understand your users. Sure, you might have a general idea of who they are and what they need, but you have to dig deep if you want to win their loyalty. Analytics give you the what, but research gives the why. Big data, user analytics , and dashboards can tell you what people do at scale, but only research can tell you what they’re thinking and why they do what they do. For example, analytics can tell you that customers leave when they reach your pricing page, but only research can explain why. Research beats assumptions, trends, and so-called best practices. Have you ever watched your colleagues rally behind a terrible decision? Bad ideas are often the result of guesswork, emotional reasoning, death by best practices , and defaulting to the Highest Paid Person’s Opinion (HiPPO). By listening to your users and focusing on their customer experience , you’re less likely to get pulled in the wrong direction. Research keeps you from planning in a vacuum. Your team might be amazing, but you and your colleagues simply can’t experience your product the way your customers do. Customers might use your product in a way that surprises you, and features that seem obvious to you might confuse them. Over