
Technological advances in the last twenty years have led to the development of powerful software for qualitative data analysis. Computer assisted qualitative data analysis (CAQDAS) packages facilitate managing multiple tasks in qualitative research, from organizing data sources based on relevant characteristics, segmenting and categorizing data according to themes, searching for and retrieving information, to building visual representations that more easily elicit significant patterns in the data. This chapter presents an introduction to the use of CAQDAS packages as tools that can greatly support qualitative research activities in chemistry education.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 29 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
