Method
The primary purpose associated with this study is to examine the rates of adherence to exercise programs as a way of determining the extent to which this may serve as a contributor to improved health outcomes. To help in engaging in the study, the survey method was selected attributed to the fact that it creates an avenue through which to commit a significant number of participants while gathering responses from all (Hoonakker & Carayon, 2009). The study seeks to focus on a considerable amount of persons in the community in trying to determine their adherence rate to exercise programs set up within the community. Consequently, this highlights the need for having to use a survey method, which will serve as a guarantee that the quality of response to be gathered from the participants in the study would be sufficient to make viable conclusions.
Location
The location of this study will be within the community setting, which will include environments such as the suburbs and housing projects. The idea is trying to collect data from differentiated data points as a way of ensuring that the validity and reliability of the data are maximized when engaging in the study.
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Population
A clear definition of the population to be included as part of a research study is essential, as it helps in the establishment of a front through which to define the expected outcomes of the survey (Asiamah, Mensah, & Oteng-Abayie, 2017). In this study, the focus will be on a homogeneous sample that will consist of both male and female. The use of this population will be of importance towards determining whether gender is a critical factor of consideration towards determining the adherence rate focusing on exercise rates in the community. Additionally, the population selected for this study will consist of persons from different racial backgrounds, including White, African, and Hispanic Americans.
Sampling
The sampling method that will be utilized as a part of this report is simple random sampling. Kumar, Trehan, & Joorel (2018) indicate that simple random sampling reflects on a sampling approach in which each participant involved in the study is selected entirely by chance while considering that each member of the population has an equal opportunity of selection. In this study, the focus will be on trying to get an accurate picture of exercise rates within the community, which creates the need for having to ensure that each of the persons in the community to be provided with a chance of being involved as part of the study.
Instrumentation
Instrumentation is essential to consider when engaging in a survey, as it seeks to determine the instruments that are to be used as part of the study as a way of ensuring that the best quality of information is gathered (Bastos, Duquia, González-Chica, Mesa, & Bonamigo, 2014). In this study, the main option of consideration as part of the survey is the use of an internet portal, surveymonkey.com. The advantage of using this portal as part of this study is that it is easily accessible and can be administered to a significant number of persons at the same time.
Data Analysis
The data analysis approach that will be considered as part of this study is the use of SPSS software, which is one of the leading software used in the analysis of data collected through research studies. The software has been selected based on the fact that it provides a clear front through which to ensure that reliability and validity of the data are maintained. Additionally, the software also creates a front through which to analyze multiple variables with regard to the data that has been collected; thus, meaning that it may be somewhat useful as part of this research study.
References
Asiamah, N., Mensah, H. K., & Oteng-Abayie, E. F. (2017). General, target, and accessible population: Demystifying the concepts for effective sampling. The Qualitative Report , 22 (6), 1607-1621. DOI:10.4135/9781483398839.n17
Bastos, J. L., Duquia, R. P., González-Chica, D. A., Mesa, J. M., & Bonamigo, R. R. (2014). The fieldwork I: selecting the instrument for data collection. Anais Brasileiros de dermatologia , 89 (6), 918-923. DOI:10.1590/abd1806-4841.20143884
Hoonakker, P., & Carayon, P. (2009). Questionnaire survey nonresponse: A comparison of postal mail and internet surveys. Intl. Journal of Human-Computer Interaction , 25 (5), 348-373. DOI:10.1080/10447310902864951
Kumar, S., Trehan, M., & Joorel, J. S. (2018). A simulation study: estimation of population mean using two auxiliary variables in stratified random sampling. Journal of Statistical Computation and Simulation , 88 (18), 3694-3707. DOI:10.1080/00949655.2018.1532513
