91影视

The article "Effects of Too Much TV Can Be Undone" (USA Today, October 1, 2007) included the following paragraph: Researchers at Johns Hopkins Bloomberg School of Public Health report that it's not only how many hours children spend in front of the \(\mathrm{TV},\) but at what age they watch that matters. They analyzed data from a national survey in which parents of 2707 children were interviewed first when the children were \(30-33\) months old and again when they were \(5 \frac{1}{2}\), about their TV viewing and their behavior. a. Is the study described an observational study or an experiment? b. The article says that data from a sample of 2707 parents were used in the study. What other information about the sample would you want in order to evaluate the study? c. The actual paper referred to by the USA Today article was "Children's Television Exposure and Behavioral and Social Outcomes at 5.5 years: Does Timing of Exposure Matter?" (Pediatrics [2007]: 762-769). The paper describes the sample as follows: The study sample included 2707 children whose mothers completed telephone interviews at both 30 to 33 months and 5.5 years and reported television exposure at both time points. Of those completing both interviewers, 41 children \((1 \%)\) were excluded because of missing data on television exposure at one or both time points. Compared with those enrolled in the HS clinical trial, parents in the study sample were disproportionately older, white, more educate, and married. The "HS clinical trial" referred to in the excerpt from the paper was a nationally representative sample used in the Healthy Steps for Young Children national evaluation. Based on the above description of the study sample, do you think that it is reasonable to regard the sample as representative of parents of all children at age 5.5 years? Explain. d. The USA Today article also includes the following summary paragraph: The study did not examine what the children watched and can't show TV was the cause of later problems, but it does "tell parents that even if kids are watching TV early in life, and they stop, it could reduce the risk for behavioral and social problems later," Mistry says. What potentially confounding variable is identified in this passage? e. The passage in Part (d) says that the study cannot show that TV was the cause of later problems. Is the quote from Kamila Mistry (one of the study authors) in the passage consistent with the statement about cause? Explain.

Step by step solution

01

Classify the Study

To determine whether the study is an experiment or observational study, analyze how the study was conducted. If subjects were randomly assigned to different conditions, then it鈥檚 an experiment. In this study, researchers are observing the behavior of children and comparing it to their TV viewing patterns. They are not altering any conditions or imposing any treatments. Therefore, it is an observational study.

02

Evaluate Sample Data

The sample used 2707 parents, from whom data was pooled about their children's TV viewing habits and behavior. To evaluate the study further, it would be beneficial to know about the demographics of the parents, such as location, socioeconomic status, education level, etc, along with whether this sample was randomly chosen or not.

03

Assess Representativeness of Sample

Based on the description, the study sample was not fully representative of all parents with 5.5 year old children. The paper itself denotes that the sample was disproportionately represented by older, educated, white, married individuals, which does not accurately represent the full demographic range of parents.

04

Identify Confounding Variable

A confounding variable is an external factor that affects both the dependent and independent variables, causing a false association. In this case, the nature or content of programs that children watched was not examined. It is a potential confounding variable as different types of programs could have different effects on children's behavior and social outcomes.

05

Correlation Versus Causation

Although the study shows a correlation between early TV watching and later behavioral and social problems, it does not prove cause-effect relationship; that TV watching caused these problems. The statement from Mistry is consistent with the quote regarding cause as it implies that less TV watching could possibly lessen risk, not definitively cause a change in risk.

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 91影视!

Key Concepts

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

Confounding Variable

In research, a confounding variable is an extra factor that might affect the study results. It can influence both the dependent and independent variables and create a false impression of the relationship between them. For the study on children's television exposure, a confounding variable can be the type of content the children were watching.
Different shows or genres might have varying impacts on children's behavior and social outcomes. If a child watches mostly educational content, the effects on their behavior could be different compared to a child who watches cartoons or action-packed programs.
Not considering what the children watched makes it hard to accurately measure the direct impact of the amount of TV exposure on behavior. Thus, the content may influence the outcome beyond just the hours spent in front of the screen.

Sample Representativeness

Sample representativeness refers to how well a study sample mirrors the population it intends to reflect. In the study about children's television exposure, the sample consisted of 2707 parents. However, this group was not fully representative of all parents.
The study noted that participants were disproportionately older, more educated, white, and married compared to a broader population sample. This creates potential bias because these demographic attributes can influence parenting styles and access to resources, which in turn might affect children's behaviors independently of TV watching.
To draw conclusions applicable to all families, the sample should reflect diverse backgrounds in terms of age, race, and socioeconomic status. A more diverse sample ensures findings are more universally applicable rather than skewed toward a particular subgroup.

Correlation versus Causation

Understanding the difference between correlation and causation is crucial in research interpretation. Correlation implies a relationship between two variables, where they seem to change together, but it doesn鈥檛 prove that one causes the other to change.
In the context of the study, researchers found a correlation between early TV exposure and later behavioral and social issues. However, this doesn't mean TV exposure directly caused these problems.
It's possible that other variables, like parenting styles or socioeconomic status, could be influencing both TV viewing habits and behavior or social outcomes. This is why observational studies are careful about making causal claims. They present an association, leaving room for further investigation into direct causal relationships.

Children's Television Exposure

The term children's television exposure covers how much and what children watch on TV. In early childhood development, TV exposure has been a topic of concern for many parents and researchers.
This study looked at both the quantity and timing of TV exposure. It suggests that both the duration and age of exposure might influence children's behavior later on. Early life TV watching is often considered more critical as it's a formative time for brain development.
Notably, when assessing children's outcomes, it is essential to consider not just the exposure but also the surrounding context, such as family environment and parental involvement. By understanding the multifaceted nature of television exposure, we can better evaluate its potential impacts on development.