91Ó°ÊÓ

Below are excerpts from two articles published in the NY Times: (a) An article called Risks: Smokers Found More Prone to Dementia states the following: \({ }^{57}\) "Researchers analyzed the data of 23,123 health plan members who participated in a voluntary exam and health behavior survey from 1978 to \(1985,\) when they were 50 to 60 years old. Twenty-three years later, about one-quarter of the group, or \(5,367,\) had dementia, including 1,136 with Alzheimers disease and 416 with vascular dementia. After adjusting for other factors, the researchers concluded that pack-a-day smokers were 37 percent more likely than nonsmokers to develop dementia, and the risks went up sharply with increased smoking; 44 percent for one to two packs a day; and twice the risk for more than two packs." Based on this study, can we conclude that smoking causes dementia later in life? Explain your reasoning. (b) Another article called The School Bully Is Sleepy states the following: 5 "The University of Michigan study, collected survey data from parents on each child's sleep habits and asked both parents and teachers to assess behavioral concerns. About a third of the students studied were identified by parents or teachers as having problems with disruptive behavior or bullying. The researchers found that children who had behavioral issues and those who were identified as bullies were twice as likely to have shown symptoms of sleep disorders." A friend of yours who read the article says, "The study shows that sleep disorders lead to bullying in school children." Is this statement justified? If not, how best can you describe the conclusion that can be drawn from this study?

Step by step solution

01

Understand the Objective

Clarify the objective of each article excerpt. Part (a) concerns the relationship between smoking and dementia, and Part (b) examines the association between sleep disorders and bullying behavior in children.

02

Evaluate the Evidence for Smoking and Dementia

In Part (a), the study suggests that smokers have a higher likelihood of developing dementia. However, the study mentions only correlations without causal evidence. Correlation does not imply causation; thus, we cannot conclusively say that smoking causes dementia without more controlled experimental evidence.

03

Assess the Interpretation of Sleep Disorders and Bullying

In Part (b), the study indicates an association between sleep disorders and aggressive behavior or bullying. The friend concludes that sleep disorders cause bullying. However, similar to Part (a), this is a correlational study. Correlation does not imply causation, so the statement that sleep disorders lead to bullying is not justified without further investigation into other potential confounding variables.

04

Formulate Logical Conclusions

For Part (a), the study demonstrates a correlation between smoking and increased risk of dementia, but causation cannot be inferred, highlighting the need for further research. For Part (b), the conclusion should reflect that there is a significant correlation between sleep disorders and bullying, yet more research is required to determine causality.

Unlock Step-by-Step Solutions & Ace Your Exams!

• Full Textbook Solutions

  Get detailed explanations and key concepts

• Unlimited Al creation

  Al flashcards, explanations, exams and more...

• Ads-free access

  To over 500 millions flashcards

• Money-back guarantee

  We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Correlation vs. Causation

One of the biggest pitfalls in data analysis is confusing correlation with causation. When two variables are correlated, it means there is a relationship or pattern between them. But that doesn't always mean one causes the other. It's entirely possible for two things to happen simultaneously without one causing the other. In the exercise above, both scenarios show a relationship, or correlation, between the subjects' behaviors (smoking and sleep disorders) and the outcomes (dementia and bullying). Yet, this doesn't mean one necessarily causes the other.

It is crucial to explore whether there are other explanations for the findings. Sometimes two correlated occurrences may actually be influenced by a third, unseen factor. Without rigorous scientific evidence or controlled experiments, it is risky to claim causal links based solely on correlation.

Confounding Variables

Confounding variables can muddy the waters of a study. These are factors that might affect both the supposed cause and effect, thus leading to a spurious association. In the exercise examples, several confounding factors could obscure results. For instance, in the smoking and dementia study, socioeconomic status or lifestyle choices could play a role. Similarly, in the case of sleep disorders and bullying, home environment or other psychological issues might be confounding variables.

Understanding and controlling for these confounders is vital in drawing accurate conclusions. Inclusion of more detailed data or additional research can help isolate the true relationship between variables. This ensures that the observed effects aren’t actually driven by some other related factor.

Data Analysis

Good data analysis requires careful examination of the relationship between variables. In order to draw strong conclusions, researchers must distinguish between correlation and causality, and identify potential confounding factors. This is often accomplished by using statistical techniques to adjust for these confounders, as seen in the step by step solution for smoking and dementia.

Additionally, when analyzing data, it's important to consider the sample size and method of data collection, as these can significantly influence the results. Large, well-conducted studies provide more reliable findings. Here, analyzing data collection methods and adjusting for possible biases or errors are crucial steps for uncovering the true insights in the research.

Study Interpretation

The final step in research is making sense of your findings, which is known as study interpretation. This often involves considering the practical implications of the data, as well as the limitations of the study. For instance, with the smoking and dementia article, it's important not to leap to causation from the reported correlation.

A careful interpretation must ask whether more research is necessary to uncover the exact nature of the relationship. Meanwhile, with the sleep and bullying study, understanding what current evidence suggests and what it doesn’t show helps avoid misleading conclusions. Thus, accurately interpreting a study involves being honest about what the data can prove and what it just suggests, always being open to additional inquiries for a clearer picture.