This paper aims to draw media behavior and usage on a wide target range and taking in account a large scope of the the latest technology: smartphone usage, general social media usage, Internet searching, e-mailing, media sharing, text messaging, video gaming, online friendships, Facebook friendships, phone calling, and watching television.
From the title we can already observe the "empirical" nature of the investigation, based on 4 different quantitative methods:
- Time measured in hours or minutes per day or per usage
- Frequency measured in the number uses in a particular time period
- Attitudinal Likert-type scales measured on a continuum from strongly agree to strongly disagree
- Experience sampling, querying use at a particular prompted point in time.
It is appealing to measure the actual time of usage but in this research the authors noticed big differences in the self-reported time and the actual time measured by a monitoring software on observed subjects' computers.
From the methods used in this paper, I evinced that quantitative methods are useful and effective on a wide target range with many differences in gender, age, ethnic/cultural background, social and economical position but they are probably appropriate for some subjects while for some other qualitative methods or a mix of the two types is more adequate, for instance in psychology, anthropology and sociology.
From the methods used in this paper, I evinced that quantitative methods are useful and effective on a wide target range with many differences in gender, age, ethnic/cultural background, social and economical position but they are probably appropriate for some subjects while for some other qualitative methods or a mix of the two types is more adequate, for instance in psychology, anthropology and sociology.
As stated in paragraph 4 it has been difficult for authors to compare measurements across different studies due to the fact that each one uses its own methods, in this way this study was designed to fill the gap between these previous ones.
The greatest limitation in the paper was the narrow range of social status in the targeted population which was mostly gathered in Southern California urban areas.
Other problems regard the combination of samples from two different but similar research projects, the online survey methodology to collect data and the fact that data have being collected through university classroom restricting the participation to friends and family of those same students.
Regarding the paper "Physical Activity, Stress, and Self-Reported Upper Respiratory Tract Infection"it is possible to assert that the results may give evidence in statistics in order to define whether our hypothesis were well-founded or not.
Moreover as I already mentioned for the previous paper quantitative methods allow "flatter result response" for wider targeted population with several differences and give suggestion for further studies observing the statistics.
Thus as already said quantitative methods better fit for certain subjects while need the support of qualitative ones for others in order to properly interpret the resulting data.
Qualitative methods on the other hand are useful when focusing on a stricter targeted audience and provide deeper understanding and insights on the causalities for a given answer while quantitative methods are mere numbers.
Thus qualitative methods' results are more likely to change quickly in time and on different targets, furthermore not very often is possible to perform them on a broad range of targeted individuals due to practice difficulties.