In a study of three nationally representative large-scale data sets from Ireland, the United States, and the United Kingdom (n = 17,247), teenagers between the ages of 12 to 15 were asked to keep a diary of their screen time and answer questions about how they felt or acted. The answers to these questions were then used to compute a psychological well-being score. Additional data were collected and included in the analysis, such as each child’s sex and age, and on the mother’s education, ethnicity, psychological distress, and employment. The study concluded that there is little clear-cut evidence that screen time decreases adolescent well-being.What type of study is this?Identify the explanatory variables.Identify the response variable.Comment on whether the results of the study can be generalized to the population, and why.Comment on whether the results of the study can be used to establish causal relationship



Answer :

What is explanatory variables?

A researcher-manipulated variable is an explanatory variable when it comes to an experiment. It serves as a measurement of the change brought about in the response variable. A predictor variable or an independent variable are terms that are frequently used to describe an explanatory variable.

This appears to be a observational study, in which data were collected on the screen time and well-being of teenagers, and additional variables such as sex, age, and mother's education, ethnicity, psychological distress, and employment were included in the analysis.

The explanatory variables in this study are the variables that are believed to potentially affect the response variable. In this study, the explanatory variables include screen time, sex, age, mother's education, ethnicity, psychological distress, and employment.

The response variable in this study is the psychological well-being score of the teenagers.

The results of the study cannot be used to establish a causal relationship between screen time and adolescent well-being. Observational studies cannot establish causality because they do not involve the manipulation of variables. In order to establish a causal relationship, a controlled experiment would be needed in which the amount of screen time is manipulated and the effect on adolescent well-being is observed.

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