Random Sampling Essay

The researchers used purposive sample but did not give any explanation as to why this choice sampling was made. It is essential to describe the sampling process in a research where this facilitates the reader to distinguish any bias in the whole sampling process. In studies using participants, the process of how to select, access, inform and retain research participants requires considerable thought. Sampling is a key issue, because it is

Lind, D. A. (2005). Statistical Techniques in Business & Economics (12 ed.). New York: The

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.

This sample may have a bias resulting from subjects that have a special interest in the subject being studied.

There are 3000 students at my school. For this experiment, I decided that using a sample size of 40 students will be feasible and fairly representative of the entire population. In order to try and insure that this sample best represents the school, it is important to carefully choose a sampling method which decreases any chance of bias. Originally, I wanted to use a simple random sample which would give everyone in the school an equal chance of being chosen, therefore making the results fair and not directed towards a certain group of individuals. However, getting a hold of a list of all students in the school that I can use to randomly select my sample group was not realistic. So, I decided that a voluntary response sample would be more practice in this situation. Not only does using this sample make the process less time consuming and convenient, but it also solves the problem of not being

2. a) The study used a consecutive non randomized, non-probability sampling method. The study selected records of patients admitted to the Massachusetts General Hospital (MGH) between September 1997 and August 2008 in a consecutive manner until a specific number was obtained. In this study, the number was 297. The study excluded 62 records that did not fit the sampling requirements. The final sample was n = 235 (Salinas et al., 2012). When using consecutive sampling techniques, the researcher includes all patients who agree to participate, provided that they meet specific pre-established criteria. The researcher will stop the selection process when the desired sample is achieved. This sampling technique is similar to the convenience sampling technique except, that it aims to represent the whole cohort of the population (Fain, 2013). It is considered the most reliable non-probability sampling technique. This sampling method is more credible and possesses a higher validity level than any other non-probability sampling method. It also decreases the possibility of researcher’s bias. However, this sampling technique faces the same issue of all the non-probability sampling techniques as the possibility of bias is always present (Fain, 2013). Another drawback of the consecutive sampling technique lies within the possibility that the response rate and the type of individuals responding may influence the findings. The responding individuals may have life circumstances or personal

Con: Out of all the different types of probability sampling, the cluster technique is the least representative of the population. Cluster sampling has a tendency to compile individuals with similar

Everyone mentions simple random sampling, but few use this method for population-based surveys. Rapid surveys are no exception, since they too use a more complex sampling scheme. So why should we be concerned with simple random sampling? The main reason is to learn the theory of sampling. Simple random sampling is the basic selection process of sampling and is easiest to understand. If everyone in a population could be included in a survey, the analysis featured in this book would be very simple. The average value for equal interval and binomial variables, respectively, could easily be derived using

An even proportion of males and females, as well as age brackets between 18-65+ were evenly surveyed to ensure a good cross of the population. Sampling for location was proportioned to area size, with larger states sampling more individuals and smaller states less, producing a valid sampling group.

* Appropriate sampling: There are so many different methods of sampling. It of a top priority to choose the right one based on budget constraints and efficiency

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

Sampling is taking a few items from a population that fairly represent the population to obtain information about the population from them. It is usually one of the key steps in research because it determines the validity and reliability of research results. This crucial yet arduous task in research has led statisticians and software developers to create software that can ease this process for many researchers in various fields of study. An example of such a sampling software is the Visual Sample Plan version 7.0 (VSP 7.0).

Sampling techniques provide a range of methods that enable the researcher to reduce the amount of data that needs to be collected by considering only data from a subgroup rather than all possible cases (Saunders et al., 2007:204). The researcher collected data from the identified population in a company where the researcher was employed in the payments department and IT provided technological solutions to the business unit.

Systematic random sampling: can be described as a most commonly used method in which after a number has been allocated to an individual in the population frame, the first person is selected using a random number table or out of a hat and subsequently those who take part in it are selected or picked using a fixed sample interval (Mathers, Sampling for surveys, 2009, p. 11).

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