The targeted group of this marketing research plan are the people aged between twenty to forty years old in the Netherlands. The total population of our target group or sample unit is 4.2 million. Furthermore, a sample frame will be obtain from a reliable publicly accessible database for the sole purpose of increasing the incidence rate of the sample which will further insure a percentage of people that the actual members of the determined or targeted population hence decreasing the chances of a sample frame error. Our next step would be to carefully select the sample size as it directly affects the credibility and accuracy of the results obtained from the research. In order to do so our researchers will use the most preferred and the most accurate method called the confidence interval method which uses the statistical concepts of confidence intervals, variability, and sample errors. According to the widely accepted most standard margin of sample error of five percent with the confidence interval of ninety-five percent, our sample size will consist of three hundred and eighty four members. And considering the response rate as twenty percent, a total of one thousand nine hundred and twenty five invites will be sent out to encourage people to participate in the research. Regarding the selection of the members of the sample, our researchers will the quota sampling technique. Quota sampling technique of sampling refers to the division of the sample frame based some key variables relevant to the research such as age, sex, religion, race et cetera. Once the divisions are made based on each and every relevant viable, a member will be drawn from each division to be added to the sample. Since this is not a completely random selection process, it is a time and cost intensive task. However, this will certainly ensure the quality of the sample therefore increasing the credibility of the whole research. To further ensure the quality of the sample, the sample will be assessed through sample validation process. Once the sample has been validated it will led to the data collection process (Cdn2.hubspot.net, 2018).
Data collection plan
“Data collection refers to the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes. The data collection component of research is common to all fields of study including physical and social sciences, humanities, business, etc. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same” (Ori.hhs.gov, 2018).
Quality assurance of the data collected :-
The process of assuring the quality is preliminary to the process of collecting the data. The main objective of the whole process of quality assurance is to prevent or forestall the problems which may occur during the during the process of collecting data. In order to do so it is necessary to standardise the protocol of collecting the data. An important component of quality assurance is developing a rigorous and detailed recruitment and training plan. Implicit in training is the need to effectively communicate the value of accurate data collection to trainees (Knatterud, Rockhold, George, Barton, Davis, Fairweather, Honohan, Mowery, O'Neill, 1998).
Quality control of the process of data collection :-
Activities regarding the quality control of the process of collecting the data such as monitoring, detection and action take place during and after the process of data collection. Key to ensure quality of the process of collecting the data is to have a well defined and comprehensive communication structure with a smooth flow of information between the principal administrators, investigators and the staff members regarding any detections of errors during the the process of data collection. Quality control also identifies the required responses, or ‘actions' necessary to correct faulty data collection practices and also minimise future occurrences. These actions are less likely to occur if data collection procedures are vaguely written and the necessary steps to minimise recurrence are not implemented through feedback and education (Knatterud, et al, 1998).
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