No abstract

No abstract

No abstract

A recent draft manuscript suggested that Facebook use might be related to lower academic achievement in college and graduate school (Karpinski, 2009). The report quickly became a media sensation and was picked up by hundreds of news outlets in a matter of days. However, the results were based on correlational data in a draft manuscript that had not been published, or even considered for publication. This paper attempts to replicate the results reported in the press release using three data sets: one with a large sample of undergraduate students from the University of Illinois at Chicago, another with a nationally representative cross sectional sample of American 14- to 22-year-olds, as well as a longitudinal panel of American youth aged 14-23. In none of the samples do we find a robust negative relationship between Facebook use and grades. Indeed, if anything, Facebook use is more common among individuals with higher grades. We also examined how changes in academic performance in the nationally representative sample related to Facebook use and found that Facebook users were no different from non-users.

There is an ongoing debate in the survey research literature about whether and when probability and nonprobability sample surveys produce accurate estimates of a larger population. Statistical theory provides a justification for confidence in probability sampling as a function of the survey design, whereas inferences based on nonprobability sampling are entirely dependent on models for validity. This article reviews the current debate about probability and nonprobability sample surveys. We describe the conditions under which nonprobability sample surveys may provide accurate results in theory and discuss empirical evidence on which types of samples produce the highest accuracy in practice. From these theoretical and empirical considerations, we derive best-practice recommendations and outline paths for future research.