lol. Things I ask while scrolling on Twitter ON MY PHONE.
) using statistical tools designed to ferret out genuine connections between two variables—in this case, well-being and technology use .
One issue, Orben says, is the size of the data sets, which sometimes include hundreds of thousands of adolescents. A group that large will have a huge number of variables at play, such as the amount of time the parents spend with their child, whether or not both parents are employed, how happy the parents are, and whether or not the child has a long-term illness.
Massive data sets can make tenuous connections seem stronger than they really are, which might be the case with screen time. The issue partly boils down to the way researchers analyze their results. They benefit from reporting an impressively small-value—a statistic measuring the probability of obtaining the same outcome by chance. Studies with large numbers of participants may magnify minor differences, leading to a headline-generating conclusion based on mistakes rather than reality.
These disagreements may be exciting fodder for researchers, but what does this mean for the rest of us who are just wondering how worried we should be about screen time? Lavine offers a helpful middle ground: Percent variance is legitimate, he says, but a small figure doesn’t mean the risk is meaningless.
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