The study I read for this paper was completed in 2012. It is a complex study that was at times, hard to understand. Regardless of this fact, I will try my best to explain what the study was about, how it was done, and what the results were. The topic that the researchers in the study that I was reading pursued was the correlation and causation between depression and sleep deprivation. The researchers wanted to find out through causality algorithms plugged into the computer whether their research subjects could prove the hypothesized link between depression and sleep deprivation. At the time of their study, causality algorithms were rather new. Unfortunately, due to my lack of knowledge in statistics and mathematics, I will be unable to analyze this aspect of the study. However, there are other aspects that I found interesting, and so these will be focused on. The researchers pulled from two different studies that have been ongoing throughout the years. One was a study of young Finnish people. The original sample size was of 3596 individuals, however, that database has grown over the years. In the beginning of the study, six age beginning points were studied. The children were studied from 1980 until now (it is still ongoing), and they were from age 3, 6, 9, 12, 15, and 18 years at the starting year. Because the study wanted a more diverse group to study, they pulled participants from five different cities, in five different districts in Finland. They also used
Who participated in the study? 2682 students from 7 schools in the US. (listed in article).
What was the purpose of this study? (i.e., what question(s) did the authors want to answer?)
· How were measures of variation used in the study? What conclusions can you draw based on the variation?
One criticism of this research is that it is correlational. Therefore, we cannot infer a causal
What was your rationale for selecting this particular study to analyze over the others identified in the search results?
The researchers analyzed the data they collected as though it were at what level of measurement?
In population-based studies, instead of looking at a small group of individuals to make an assumption on the entire population, we are taking numbers that represent the population and determining
How did you select this research study to analyze? That is, what search terms did you use? What database did you use? What was your rationale for selecting this particular study to analyze over the others identified in the search results? What is the full reference for the study in APA format?
Types of studies. Studies were included if they are quantitative, published within the last ten years (2007 to 2017), and from peer-reviewed journals. These criteria were established to ensure the timeliness and credibility of the sample studies. No restriction on language was set to ensure that a wider scope of studies can be included.
The study by Reiner and Gearhart has a small sample, and so the results from this study may also be invalid.
f.Were the subjects analyzed in the group to which they were randomly assigned? Explain. If yes or no, what impact will this have on the study?
The sample is definitely outlined well in the article. The authors make it known to us that the participants for the study were volunteers from a previous study about somatoform disorders. They clearly state the age ranges, sex, and education of all the patients.
Time frame: The research lasted a couple of years between 2003-2012 and some during 1999
The archival data that was used to analyze the D relationship between two groups was
There have been all different studies that investigate this topic. Many different factors have to be considered when looking into a study such as where it took place, how many students were studied, over what period of time, the major of the student, and are they