The Impact of the Geographical Particularities on Human Health

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Table of Contents

Introduction
Sample Frame
Units of Analysis
Selection of the target audience
Specifying the sampling frame
Choosing a sample
Determination of sample size
Specifying the sampling plan
Picking the sample
References

Introduction

According to the hypotheses of the work, the sample will include people with and without higher education living in certain zip codes. It will also measure the number of people who started studying at a higher institution but never graduated. Moreover, since the study examines the impact of geographical particularities and zip codes on human health the number of requests for medical care will be studied.

Sample Frame

Each member of the population has a sampling frame, which is a summary of all those members. During the study, a special list with personal information about the group will be made (Lohr, 2019). The sampling frame will have a list of households enumerated in the population census in the city and rural areas. People living in Florida and their zip codes, for example, could be included in the population. Anything from Julians Album to Claire Zappas name would be on the frame, and so would the zip codes.

Units of Analysis

The study will use a p-probability sample, in which each element of the population has the opportunity to be selected. This method will allow calculating how correctly the sample reflects the general population from which it is isolated. Thus, if the selected area has about one hundred houses, then every second or every third house will be selected for the study to form sampling. Therefore, after receiving consent, the history of their diseases will be studied to have reliable data on health indicators as well as to gather information on their level of education. Also, the access of rural area inhabitants to mental health facilities will be tested to evaluate the rates of mental unwellness.

Selection of the target audience

The very first step in the sampling process is to identify the target population. As mentioned earlier, a specific rural and urban area in Florida will be chosen where people will be included considering their level of education and health-related problems. The time frame for the analysis will include the last two-three years.

Specifying the sampling frame

Once a researcher has defined the population, the next step is to select a sampling frame. Keeping with the impact on society of zip code on wellness, a database with each individuals household would be an ideal sampling frame. The sampling frame will include between 30-50 households to give a substantial amount of evidence and information on the topic of the research.

Choosing a sample

Subjects have an equal probability of being chosen, regardless of who or what else has been or will be selected. The names of the population are in a p-hat and arrange in the formation of the list of words that will be implemented as it is an easy procedure to follow. The advantage of this method is the presence of different people in the list in approximately the same proportions.

Determination of sample size

The size of the sample has a significant impact on the sampling process. Fix or sequential sampling is of primary importance, and whether the reasoning is focused on conventional or Bayesian methods used, these are both worth mentioning. As already mentioned, the sample will be about 30 households. Each of them will undergo a specific questionnaire survey, which will include 20 questions based on the hypothesis of the paper.

Specifying the sampling plan

This step outlines the research process implementation specifications and decisions. The city blocks would be the sampling units, and the people who live there would be the sample elements.

Picking the sample

This is the last procedure in the sample selection, and it is at this time, the sample fundamentals are selected. At this point, interrogators need to observe the guidelines laid out to facilitate a seamless market research implementation.

References

Etikan, Ilker, and Kabiru Bala. 2017. Sampling and Sampling Methods. Biometrics & Biostatistics International Journal 5(6).

Lohr, Sharon. 2019. Sampling: Design and Analysis. Boca Raton: Chapman and Hall/CRC.

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