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Health Medical Homework Help. Ashworth College Significant and Non Significant Results Discussion and Response

 

Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Refer to the Discussion Forum Grading Rubric under the Settings icon above for guidance on how your discussion will be evaluated.

Explaining Analysis

Imagine that you are talking with a friend about how you are currently taking a course related to analysis of research. Your friend is interested in hearing more about some of the research you are reading. Your friend does not have a background in research and asks you to tell him/her about the research in “layperson’s terms”. In your post, describe one of the research studies we have reviewed during the course in “layperson’s terms”. While you are looking at the study with your friend, s/he notices that some of the results from the study are “significant” (p<.05) and other results are “non-significant” (p>.05). Explain the difference between significant and non-significant results to your friend in “layperson’s terms”. Provide an example of significant and non-significant results from the study you are explaining.

Guided Response: Imagine that you are the friend of student and have just had the study explained to you. Explain how you think the results of the study that your friend described to you might be applied to the general population that was being studied. Propose one additional question to your friend about the research study that you would like the answer to. Respond to two of your classmates.

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Thomas Lyons

Jul 28, 2021 at 12:01 PM

Throughout the last five weeks of HPR460: Analysis of Health Research, we have learned many different procedures that are applicable when conducting research in order to facilitate an appropriate analyzation of collected data. We have acquired a knowledge for the intricacies of each of the elements required, and how they piece together to collect valuable information that can help anyone researching a general or specific topic. Allow me to outline on of our previous research studies within the course.

A previous observational research study reviewed earlier during this course referenced the interest to increase physical activity for children during school hours. In beginning the study or investigation we must propose an explanation, or a hypothesis, based on the evidence limited before proceeding. Our hypothesis was that there will be an increase in the children’s physical activity if organized activities during their half hour recess were implemented. Now you get an idea of the subject at hand. The following procedures consist of developing your topic further by designating the study population, providing background information, and collecting data.

Observations during recess at each school on different occasions were conducted and information like the children’s willingness to participate in organized activities was noted. Through observing, we noticed that in the majority of the schools where there were organized activities, more children were participating and seemed to be enjoying themselves. By observing you can also try to distinguish what information collected is of significance and what is not. However, you noticed that their enjoyment during recess with organized activities had no true significance, as opposed to their activity levels being of importance which is the primary concern of the study.

Although some characteristics of a study may not be of significance in one area, it may factor into other areas where its significance is greater. A simpler way of explaining significance is with provided evidence that the results we have reached indicate that the sample also exists in larger populations. In this case, (p<.05) is used when statistically analyzing to specify that enough statistical evidence is presented in the population, and (p>.05) is used to show the non-significant results that were not as notable.

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RS

Ryan Sells

Jul 28, 2021 at 6:16 PM

Good afternoon,

One of the research studies from the class was the “Mental Disorders as Risk Factors for Substance Use, Abuse, and Dependence” study. The purpose of the study was focused on following up on how mental disorders may contribute to the start of substance abuse or reliance of substances compared to the same study that was held 10 years earlier. The researchers in the original study used a survey to gather participants across 48 states and administered a two-part interview to determine if the volunteer met the standards to participate in the study. 10 years after the first study, the researchers reached out to the original participants for a follow-up study, where they highlighted different factors that might have affected the study, noted how many participants returned from the first study, and provided the data collected on their study. The results of the study were broken down by categories and highlighted whether a participant had a mental disorder and if they did how it affected substance use, what type of substance, and how often they used the substance.

A null hypothesis is a hypothesis that is tested in the study. Results that are “significant” means that the evidence collected was enough to reject the null hypothesis which makes the results “significant”, but if the evidence is not enough to reject the null hypothesis, the results become “non-significant” (Lane, 2014). In the study, alcohol dependence with abuse showed results of p<.001, so I believe the results are “significant”.

I had a hard time with reading and understanding the p< data, so if my discussion is wrong, please let me know. Thank you.

v/r

Ryan Sells

Lane, D. M. (2014). Online Statistics Education: An Interactive Multimedia Course of Study (Part I: Chapters 1–10). Independently published.

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