Data Collection And Recording Stage

added to the limitations of the method. It could be argued that random sampling would provide a

Without a randomly selected sample, the results can only be applied to the specific persons questioned (Blake 1). This is why results from polls that allow self-selection, such as those found on the web, or in your mailbox, automatically demand a higher level of scrutiny and skepticism.

According to Schutt (2008), sampling is defined as a subset of population used in a study to be a representation of the population as a whole. My final project is a pre-hire assessment which analyzes potential risky pattern behaviors and emotions in the work place. One of the most important considerations related to sampling that will need to be addressed in my final project is defining the population that will be taking the assessment.

Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate.

Sample is the 33,160 responses. The population seemed to be the entire population. The sample is a voluntary response sample because subscribers could choose to respond or not. It is not likely to be a representation of the greater population.

Random sampling: Operates on the principle that everybody should have an equal chance of being selected as part of the sample. This is significant because it ensures everyone has the same opportunity of being represented in a poll.

In order to provide the Australia Park Victoria with the appropriate data to solve its current crisis, the most appropriate method of data collection for this research is the qualitative method. According to Gay and Airasian (p 627) qualitative method is the collection of extensive data on various variables over a long time in a natural setting with an aim of acquiring insights not possible using other methods. It involves three different kinds of information collection: direct observation, in depth and open-ended interviews and written documents. Qualitative method involves use of random sampling and structured data collection instruments that fit different experiences. The method also enables the researcher to study the specific area of

A sample is a group of people chosen from a population to embody the population in the experiment, whereas a population is the complete group of the people that pertain to the research subject (Gravetter & Wallnau, 2014). An example of this would be if a researcher was doing a study on children with no siblings in Michigan, the population would be every only child and the sample would be a smaller group of only children to represent the larger group. The reason why a person would not use the entire population is because, although you would get a more accurate result, it also would be too difficult to attain an answer from every only child on Michigan. It is therefore easier to get an estimate to gauge the closest accuracy with a smaller sample set.

a. A large non-random sample can turn out to be unrepresentative if the data is non-random. By selecting non-random of population members, then the entire population does not have the chance to being selected.

There are many reasons why taking a sample is better than taking the entire population. However, taking a sample costs less money, and takes significantly less time to gather responses. Pollsters do everything they can to ensure their samples are representative. Although the sample is drawn correctly, there is still a chance

Hinduja and Patchin (2013) used random sampling from 33 middle and high schools in a large school district. The administrators randomly selected two or three classes from each grade level, generating a sample of 4,441 students (Hinduja & Patchin, 2013). Random sampling is effective because each student from the population pool has a chance to be selected. The large sample size creates the likelihood that the sample is representative of the population, making it more generalizable (Sheperis, Young, & Daniels, 2013). Yet, the randomized selection was left to the administrator at each school, which could have decreased the randomization because they could have decided to use specific criteria, such as high referral rate classes, which would have made the chances of selection unequal. The selection could have been improved by assigning classes specific numbers that are inputed into a random number generator for selection (Sheperis, Young, & Daniels, 2010). This would help to ensure the selection was truly a random sample.

According to Cooper and Schindler (2014), the steps in sampling design include identifying the target population, determining the parameters of interest, and deciding on the sampling frame, the appropriate sampling method, and the sample size.

I have decided to use this process because simple random sampling is a relatively basic, easy and inexpensive method method to evaluate the population in a fair, unbiased and representative way.

Which type of nonprobability sampling technique involves choosing participants who then refer others with similar or different characteristics?

6. At this point, a plan for the analysis of the data is required. Planning may go as far as the development of a set of dummy tables for the expected statistical data. Such detailed planning is not always found in research projects, but it does help assure that data relevant to the hypotheses or questions will be secured.