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HLT 362VTopic 2 Discussion: Population and Sampling Distributions

HLT 362VTopic 2 Discussion Population and Sampling Distributions

There is a growing body of evidence that suggests that being vigilant about one’s race can have adverse consequences for health, including obesity. A study published in 2018 looked at the relationship between race-related vigilance and obesity status among African American adults.

The study found that those who reported being more vigilant about their race were more likely to be obese. This suggests that the stress associated with constantly having to monitor one’s race can lead to weight gain (Powell et al., 2018). This research is important because it underscores the importance of addressing the stressors that contribute to obesity in minority communities. Addressing these stressors will require collaborative effort from policymakers, healthcare professionals, and community members. Only then can we hope to see meaningful reductions in obesity rates among African Americans.

From the study, there was the application of stratified sampling method to identify study respondents. The stratified sampling method is a type of probability sampling where subjects are first divided into strata, or groups, and then a random sample is selected from each stratum. This method ensures that each stratum is represented in the final sample and allows for more precise estimation of population parameters. From the study, African Americans were first divided into strata where random samples were selected. The effectiveness of stratified sampling depends on a number of factors, including the nature of the population being sampled and the specific aims of the research. However, in general, stratified sampling can be an effective way to obtain a representative sample from a population.

One advantage of stratified sampling is that it can allow for more precise estimates than simple random sampling, particularly when strata are relatively homogeneous. This is because combing data from multiple strata can provide more information about each stratum than would be available from a single randomly selected sampled unit from that stratum. In addition, stratified samples can be easier to work with and process than complex random samples.

There are a few potential disadvantages of stratified sampling that should be considered before deciding whether or not to use this

HLT 362VTopic 2 Discussion Population and Sampling Distributions

HLT 362VTopic 2 Discussion Population and Sampling Distributions

method. First, stratified sampling can be more time consuming and expensive than other methods since it requires extra steps to ensure that each stratum is represented proportionately in the final sample. Additionally, if the population includes a large number of strata, it may be difficult to create an effective sampling plan. Finally, there is always the potential for human error in any data collection process, and stratified sampling is no exception. If errors are made when categorizing individuals into strata or when selecting which members of each stratum to include in the sample, it could jeopardize the validity of the results.

In conclusion, stratified sampling is essential in any study because it allows for a more accurate representation of the population. By dividing the population into strata (or groups), researchers can ensure that each stratum is adequately represented in the sample. This helps to avoid bias and ensures that the results of the study are more representative of the entire population. The stratified sampling method is a type of probability sampling where subjects are first divided into strata, or groups, and then a random sample is selected from each stratum.

Reference

Powell, L. R., Jesdale, W. M., & Lemon, S. C. (2018). On edge: the impact of race‐related vigilance on obesity status in African–Americans. Obesity science & practice2(2), 136-143. https://doi.org/10.1002/osp4.42

Powell, L. R., Jesdale, W. M., & Lemon, S. C. (2018). On edge: the impact of race‐related vigilance on obesity status in African–Americans. Obesity science & practice2(2), 136-143. https://doi.org/10.1002/osp4.42

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Topic 2 DQ 2

Aug 22-26, 2022

Using the research article selected for DQ 1, identify three key questions you will ask and answer when reading the research study and why these questions are important. When responding to peers, provide other questions and answers that could be considered in relation to the peers’ studies.

REPLY TO DISCUSSION

The research study I selected in DQ 1 was “Spiritual and Religious Issues of Stigmatization Women with Infertility: A Qualitative Study: Spiritual and Religious Issues of Stigmatization” by Akarsu & Beji in 2021. Three key questions that I will ask about the research selected are as follows:

Question 1: What is the significance of this study?

Response:

The significance of this study was to determine the perceptions of women with infertility on stigma and religious and spiritual issues of stigmatization (Akarsu & Beji, 2021). The desire to have children is the focal point of women’s physical well-being. As a result, issues linked to raising children are viewed as flaws in women. Women’s social obligation to have children affects how their infertility is considered (Forsythe, as cited in Akarsu & Beji, 2021). Deficiency in reproductive functions causes social stigmatization due to cultural norms, beliefs, and values. Infertility is an important issue for both sexes because it is an instinctive biologic behavior to have offspring, but also an important issue to be a family as a part of a community. It is also an important issue for medical caregivers working in infertility to deal with and determine the psychological aspects of infertility.

Question 2: How was the data collected?

Response:

The data was collected by conducting a 30- 60-minute interview, which consisted of open-ended questions. Subjects were interviewed in a quiet and calm room near the polyclinics. The researcher transcribed interviews during the interview since none of the issues gave consent for voice recording (Akarsu & Beji, 2021). Data were coded, and related themes were formed using the content analysis method. These themes included reasons for experiencing infertility, current emotional states, families’ reactions to infertility, people’s general opinions about women with infertility, and the effects of meeting with people who were aware of their stigma.

Question 3: What was the method of sampling?

Response:

This qualitative study was conducted with the voluntary participation of women diagnosed with infertility and monitored in the obstetrics and gynecology polyclinics at the Bozok University Practice and Research Hospital (Akarsu & Beji, 2021). The phenomenological method was used for the study consisting of a research sample of 12 women with infertility selected through the criterion sampling method (Yıldırım [26] as cited in Akarsu & Beji, 2021). The phenomenological approach aims to describe, understand and interpret the meanings of experiences of human life. It focuses on research questions such as what it is like to experience a particular situation (Bloor & Wood, 2006). Criterion sampling involves selecting subjects that meet some predetermined criterion of the study.

Reference:

Bloor, M. & Wood, F. (2006). Phenomenological methods. In Keywords in qualitative methods (pp. 129-130). SAGE Publications Ltd, https://www.doi.org/10.4135/9781849209403

Höbek Akarsu, R., & Kızılkaya Beji, N. (2021). Spiritual and Religious Issues of Stigmatization Women with Infertility: A Qualitative Study: Spiritual and Religious Issues of Stigmatization. Journal of Religion and Health, 60(1), 256–267. https://doi- org.lopes.idm.oclc.org/10.1007/s10943-019-00884-w

Ryan, Christina. (2018). Population and Sampling Distributions. Retrieved from:

https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/2

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