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The article "Television's Value to Kids: It's All in How They Use It" (Seattle Times, July 6,2005 ) described a study in which researchers analyzed standardized test results and television viewing habits of 1700 children. They found that children who averaged more than two hours of television viewing per day when they were younger than 3 tended to score lower on measures of reading ability and short term memory. a. Is the study described an observational study or an experiment? b. Is it reasonable to conclude that watching two or more hours of television is the cause of lower reading scores? Explain.

Short Answer

Expert verified
a. The study presented is an observational study, because the researchers did not manipulate any variables, they simply observed existing data. b. It's not reasonable to conclude that watching two or more hours of television is the cause of lower reading scores, since observational studies do not control for all other variables, hence, they only show correlation and do not establish causation.

Step by step solution

01

Identifying the type of Study

In the given context, the researchers analyzed existing data of standardized test results and television viewing habits of children. The researchers did not manipulate any variables, rather they simply observed and analyzed available data. Therefore, this study is an Observational Study and not an experiment.
02

Analyzing the Causality

In observational studies, researchers merely observe the effect of a variable without controlling it. The fact that children who watched more television scored lower on reading abilities and short term memory tests does not necessarily imply that watching television is the cause for lower scores. This observation might be due to a lurking variable. A lurking variable is a variable that is not included in the study design, but it affects the outcome of a scenario and offers alternative explanations for an observed association, such as the level of parental supervision, the content of the programs watched, etc. Therefore, it's not reasonable to conclude that watching two or more hours of television is the cause of lower reading scores based on this observational study.

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Key Concepts

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

Causality in Research
Understanding the nature of causality is critical when interpreting research. In terms of academic studies, causality indicates a relationship where one factor, or variable, directly affects another. However, establishing causality can be quite complex. It requires rigorous methodological approaches, often in the form of controlled experiments where researchers manipulate one variable to observe the effect on another.

In the context of the research mentioned in the exercise, where children's television viewing habits and reading abilities are analyzed, the correlation found does not prove causation. The study being observational implies the researchers did not have control over the variables. They could merely record the outcomes without intervening. Consequently, while there may be a relationship between television viewing and reading ability, the study doesn't provide sufficient evidence to claim a causal link.
Reading Ability
Reading ability is not just a single skill but a complex integration of vocabulary, comprehension, and fluency. Its assessment is often done through standardized tests, which aim to measure such skills in a consistent and comparable manner across different individuals.

From the educational standpoint, understanding the factors that influence reading ability is crucial. These can range from educational practices to home environment and personal habits, like television viewing as mentioned in the exercise. Yet, it's important to recognize that reading ability is multifaceted and influenced by numerous factors. A reductionist view that attributes poor reading skills to a single activity, such as watching TV, may overlook other significant contributing elements.
Television Viewing Habits
Television viewing habits refer to the patterns and regularity with which individuals engage with television content. This includes the duration and frequency of watching TV, as well as the types of programs consumed.

It's important to differentiate between passive and active viewing, as well as educational versus entertainment content. For example, age-appropriate and educational programs might stimulate cognitive development in children, whereas excessive passive consumption of non-educational content might correlate with less favorable cognitive outcomes, as hinted at by the study's findings. However, without controlling for content and context, we cannot draw definitive conclusions about the impact of TV habits on children's reading abilities.
Standardized Test Results
Standardized tests are designed to provide an objective measure of students' academic abilities across a wide range of subjects, including reading and memory. Test results offer valuable data that can be analyzed for patterns and correlations.

In educational research, such test results are commonly used to assess the effectiveness of educational programs, interventions, and to identify areas of improvement for individual students. The study in question uses these results to explore the relationship between TV viewing and academic performance. However, while standardized test scores can provide insights into a child's academic capabilities, they are but a snapshot and may not fully encapsulate a child's knowledge, skills, or potential.
Lurking Variable
A lurking variable is an extraneous factor that is not measured in the study but can influence the results. Identifying and accounting for lurking variables is essential in research, as they can create false impressions of causality between studied variables.

In our exercise, factors such as socio-economic status, parental involvement, or the nature of television content could serve as lurking variables. These could affect both the amount of television children watch and their academic performance, thereby confounding the results. Acknowledging the presence of lurking variables is particularly important in observational studies, where researchers have less control over external factors and thus, must be cautious when drawing conclusions from their findings.

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