Advantages Of Simple Sampling And Accuracy Of Representation

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.

Probability sampling, also known as random sampling, requires that every member of the study population have an equal opportunity to be chosen as a study subject. For each member of the population to have an equal opportunity to be chosen, the sampling method must select members randomly. Probability sampling allows every facet of the study population to be represented without researcher bias. Four common sampling designs have been developed for selection of a random sample: simple random sampling, stratified random sampling, cluster sampling, and systematic sampling (Burns & Grove,

James Hannon utilized the stratified sampling method to conduct his study. This method allows you to make the sample as representative as possible. For instance individuals would be divided into groups or strata this allows the sample to show an accurate representation and reflection of the population being studied. Hannon’s method consisted of the involvement of 178 students who were in 9th and 10th grade. 90 of the students were boys and 88 were girls, they all enrolled in six physical education classes. Due to the method of this experiment and the diversity of race in this urban southeastern high school, the students were divided in terms of their race. There were 47.84% Caucasian, 46.44% African American, 2.96% Hispanic, 1.24% Asian, 1.10% Multicultural and 0.14% American Indian. Before conducting the study Hannon obtained permission from the University Institutional Review Board, the school district, school administrations and the teachers. Also the students and parents were provided with informed consent. The use of stratified sampling was beneficial as it gives a more accurate finding and is more representative of the sample. This allows the sample to picket against an unrepresentative sample. (Reserved and Version, 2016) Having said that, a disadvantage of using this sampling

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.

The three survey designs employed a randomized allocation process that maintain particular focus to their characteristics such as sex and perceived risk or victim status.

When researchers select participants from several different parts of the population, they are selecting a

First, the researcher must select various groups or clusters, and then from each cluster, the researcher begins to choose the individual subjects by either simple random or systematic random sampling. The researcher can even opt to include the entire cluster and not just a subset from it depending on the design study they have chosen.

It helps disadvantaged people who come from areas of the country where there are not very many opportunities be able to advance where they otherwise could not. In other words, it gives everyone an equal playing field.

Definition: A method of sampling used for polling that ensures that all groups and persons have an equal chance of being selected. This ensures that most, if not all, groups are represented in polls.

The proof of identity and choice of fundamentals that will make up the sample is at the heart of all sampling methods; the sample is selected from the sampling list of all participants of the people of concern.

One limitation I may have with my sample is that some customers that I may ask to be involved will not accept and therefore will have to find other customers who may not help with my study as much as the first person.

According to Hair et al. (2003), in the research, the sampling process enables identifying, developing and understanding an interested object that need to be determined (p.333). Hence, in order for the researcher to carry out the sampling appropriately, advantages and disadvantages of the various sampling methods should be considered along with the theoretical component of the study (Hair et al. 2003, p. 368 f). Theoretically, the sampling procedure is divided into two major types which consist of probability and nonprobability sampling. In probability sampling, individuals have a known chance of being selected. While, in non-probability sampling, individuals do not have a known possibility to be selected (Sekaran 2003, p. 269 f). Also, the different sampling methods provide different advantages and disadvantages. Hence, the researcher should consider this point before choosing the sampling method for the

In regard to sample size, I cannot predict the exact amount of participants I will need for my

Indeed, there are numerous of techniques used in sampling. However, there are two comprehensive types of sampling techniques. They are probability sampling and non-probability sampling techniques correspondingly referred to as random and non-random sampling techniques respectively (Cohen, Manion & Morrison, 2007). Probability sampling technique is ordinarily used in large quantitative type research projects. Needless to say, where large sample size is needed from across a broad spectrum of society, it becomes paramount therefore that random sampling technique becomes optimal.

Systematic sampling is type of probability sampling which select samples by following some rules set by research which involves selecting the k’th member where the random the random start is determined.