Sampling is the process of selecting a representative group from the population in order to make an inference about the population and use to represent the population. In this case, Santa Fe Grill should employed probability sample to meet the qualitative requirement of being unbiased and it allows them to draw statistical inference. Probability sample is widely used in conducting marketing research since everyone in the population gets an equal opportunity to be a part of the representative sample.
The sampling design that Santa Fe Grill should be employed is a stratified sample. Stratified sampling is when the population is divided into subgroups and draw samples from each of those group. The advantage of this sampling technique is that it results in more efficient sampling. This will ensure a better and higher statistical precision without giving up confidence level and increasing sample size. You have eliminated the possibility that you chose people from the same stratum (eliminated all of the extreme cases).
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These groups could be divided into different household incomes, geographical location, and/or frequency of eating out at Mexican restaurants.
It will be more precise to have a large size of respondents. Sample sizes larger than 100 and less than 500 are appropriate for this study.
Sampling decisions should consider both sampling design and samize size. Sample size is directly related to the cost of a study, the more representative the sample, the lower the sample size needed. If the sampling design in inappropriate, a large sample size will not allow the findings to be generalized. If the sample size is inadequate, no sampling design, can be useful in meeting the objectives of the study.
To conduct an effective market research survey, it is also critical to avoid sampling bias in selecting a population for
this study is the use of convenience sampling, as previously mentioned. Black et al. (2000) make
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
According to Acharya, Prakash, Saxena, and Nigam (2013), sampling designs are classified into two categories: probability sample and non-probability sample. Probability sampling aids in the generalizability of the results because individuals in the population have an equal chance of being selected to participate in the study (Acharya et al., 2013). With the non-probability sampling method, every individual does not have the same chances of being included (Frankfort-Nachmias, & Nachmias,
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,
In terms of choosing my sampling method, I chose quota sampling. This is because we chose to survey 30 people in total but divide the group into genders; males and females. Therefore; 15 males and 15 females were surveyed. This was an important sampling method to choose because it was quite accurate. It was less biased as we decided to interview both genders, leading to varied results for our market research team. We also chose to have quota sampling, because it was the most efficient sampling method which gave us the most accurate information we set out to find. I feel it was important to have more than one division; that being males and females. This is purely because males and females have much diverse views and opinions and also priorities such as; males being more interested in booking rooms and assessing the online services, where the females would also enjoy the online services, but would show more interest in the facilities available, therefore it was quite key to find out how each gender progressed through the surveys. I feel that quota sampling is much more accurate than other sampling methods such as random sampling. This is because random sampling will leave the researchers with a range of results, which will be harder to compare or formulate decisions
The number of participants in this study in each condition was 20. This is a quarter of the number of participants in the Chen et al study, which had 80 participants in each condition. Byford (2014) states that it is difficult to take the results of a small sample size and apply the results to the general population, and therefore one must be prudent when applying these results to a project or advertisement.
Based upon information provided this study was appropriate conducted as a purposeful sampling but, this study
In this essay, I will appraise the sampling methods used in the following two case studies:
Although, the results of the study can generalize to similar population, the further research should be done with larger samples and setting other than laboratory.
We designed a survey in class to collect information of how people interest in our designs. Then, we spent a week to interview people. So, our samples might be limited on time, space and quantity. Also, people might make choices without thinking due to the questionnaires are just imagined designs other than real products. It is reasonable to consider that those problems may lead to inaccurate data which may disturb the analysis result.
e. I did not recognize any potential bias introduced by the sampling method used. The researcher states the eligible requirements to participate in the study and the results reveal the significance of the use the patients and the effectiveness.
The participants of clearly the individuals from three separate cohorts, however the researchers do no specify if all individuals in each of the three cohorts are sampled or if only a portion of them participated in the research. This is an important issue that needs to be addressed by the researchers, although the number and sex of participants from each cohort is reported, the differences in sampling selections could present a significant difference in the conclusions obtained from the research data.
This study makes use of simple random sampling. Simple random sampling selects the individuals randomly and every single individual must have an equal probability (Hughes and Sharrock, 2007; Powell and Connaway, 2010).Thus, each and every product chosen from the market for the survey has equal probability. The sampling unit of this study is Sanitary Product sector in Australia. The target population in this research for the quantitative study is the sanitary products in Australia. The sample size for the quantitative study is for 95 products in the market.
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
The project aim at teenagers, therefore sample group is between 13 to 19. I will set the sample sizes in 50 participants since it is easy to identity and more precision. If a sample sizes increase, it is very hard to estimate and become not accurate. Also, I’m worry about the extremes data can’t make a balance out, so the project prefers small sample sizes. It can take less effort to gain and maintain people, it is easy to produce significant results and comfortable to find a group of people. I will obtain samples from friends or friends’ sister and brother.