Daniel is likely face various problems by using the marketing assignment as his pilot study. This can be linked to the fact that he did not adopt the all the required methodology in his data collection. First in his objective he did not aim to collect data in large-scale, this implies that he may end up collecting data that does not reflect the online shopping behaviors of customers. His choice of sample was also poor and bias. This is because he had mainly decided collect data from his close friends and relatives.
In his data collection method he had also not used the various scientific methods of data collection that he was taught by his lecturer. The data collected in this case cannot be used to represent the entire population since Daniel main intention was only to come up with data that could help him build a non-probability sampling method and hence be able to satisfy the requirement of his tutor. Moreover Daniel also had a very simple objective of only of only indentifying the French consumer’s expectation he therefore failed to capture the requirement of a standard marketing assignment which requires one to come up with proper consumer demographic. The data he intends to collect using this method can therefore be argued to be inaccurate and unreliable.
Distribution of a link to the internet question using the Facebook via email might jeopardize the statistical representation in several ways. First according to Athanasiou, Debas & Darzi (2009) it is not possible for one to verify the accuracy of the information provided by the Facebook users. Distributing the link through the email can interfere with the data collection since most of the student rarely access their emails and may therefore not be in a position to view the link sent to their mail. In relation to this some of the Facebook users are also likely to ignore the link sent and therefore leading collection of a small amount of data that might not represent the entire population. Moreover some irrelevant posts that are normally common among the social media user are also likely to distract the target group from answering the questionnaires appropriately.
According to Mitchell & Jolley (2010) use of the Facebook to collect data for research has a major disadvantage since the researcher is unable to explain to the respondent the requirement of some questions in the questionnaires.
Daniel should use the quota method of sampling; this method involves stratified sampling whereby non-random selection within the quota is done. The results of the selection are known only to the researcher. This attribute wipes out any pretentions toward randomness. Quota sampling is not expensive however the precision of the data collected is lost.
Quota sampling is easy and the work that is experienced when conducting random sampling is much avoided. This is the best method if sampling has to be quick with less errors this is good if he wants to get an immediate response from the population.
While choosing a quota sample I would use three steps the first step is selecting the important stratification and isolating the population accordingly (Cronin & American Society for Information Science and Technology, 2007). The second step would be involving the calculation of each stratum quota. Step three would be to invite cases continuously until each stratum quota is met.
For example If I wanted to study the male and female students and look at their differences, I would consider the gender as the stratification but it would also mean selecting students according to their class subjects like engineering, medicine etc.
Then the number of students that will be included in the research inference will be based on the number of male and female students studied out of the total number of students that are in that particular college that is in study. After carrying out a selection of the number of cases that will be needed in each stratum, I will simply continuously invite people to participate in my research until all the quotas are filled up.
- Athanasiou, T., Debas, H. T., & Darzi, A. (2009). Key topics in surgical research and methodology. Berlin: Springer.
- Mitchell, M. L., & Jolley, J. M. (2010). Research design explained. Australia: Wadsworth.
- Cronin, B., & American Society for Information Science and Technology. (2007). Annual reviewof information science and technology: Vol.41. Medford, N.J: Information Today on
- behalf of American Society for Information Science and Technology.