Qualitative data collection instruments try to throw an exact measurement of something, “In business research, quantitative methodologies usually measure consumer behavior, knowledge, opinions, or attitudes. Such methodologies answer questions related to how much, how often, how many, when, and who” (Cooper & Schindler, 2014), one main quantitative data collection instrument is survey which is considered a major among other ones because it throws exact measures of opinions and consumer behavior.
The nature of sampling is “that by selecting some of the elements in a population, we may draw conclusions about the entire population” (Cooper & Schindler, 2014). Some examples of sampling ...view middle of the document...
Inferential statistical methods “includes the estimation of population values and the testing of statistical hypotheses” (Cooper & Schindler, 2014), the second article that choose talks about “the damages caused to the fisheries in the Gulf of Mexico as well as the statistical percentages of the people affected due to this disaster” (Rotkin-Ellman, 2012).
What are the strengths and weaknesses of each sampling approach?
The strengths of using the purposive sampling approach is that you have participants with unique characteristics on their experiences, attitudes, or perceptions about the subject that you are discussing which will give you a specialized opinion, but these can turn into a weakness since you will have a limited perception due to the characteristics of your contributors.
The strengths of using a snowball sampling approach is that you will have participants with who have characteristics, experiences, or attitudes similar to or different from their own, so this can give you a broader sampling approach. A weakness can be that participants and researcher can differ on their approaches and conclusions.
The strengths of using a Convenience sampling is that you have readily available individuals as participants so you will have a fast sample which can give you a fast convenient sampling approach, an important weakness of this method is that you won’t have a specialized opinion.
What are the specific situations in which you would choose to use each of the instruments and designs?
Qualitative deigns “ are based on the researcher immersion in the phenomenon to be studied, gathering data which provide a detailed description of events, situations and interaction between people and things, providing depth and detail” (Cooper & Schindler,2014), such designs like surveys are used in situations where managers need information about a product that they are producing.
Sampling designs “basic idea is that by selecting some of the elements in a population, we may draw conclusions about the entire population” (Cooper & Schindler, 2014), one specific situation where I would select this design is when a company is trying to design an advertising campaign and you need information to target the market, this sampling method would prove useful because you can obtain information form an specific focus group.
Descriptive and inferential methods are useful to obtain profiles form explicit groups as well as specific data that can draw you conclusions about problems, people or events. I would use these statistical methods in a situation where I was pursuing a specific profile about a group or explicit market.
What are the strengths and weaknesses of each statistical approach?
A descriptive statistical approach I used to...