First, computer analysis of qualitative data is no sub- stitute for thought. The program should not remove the researcher as mean- ing maker. Second, each researcher gathers qualitative data from different sources. Third, programs differ on how well each achieves the analysis. It is time to step up and do something about computing & technology & data analysis in our curricula. Must have dedicated statistical/scientific programming course Data technologies, advanced/research computing, numerical algorithms, visualization classes or individual topics Summary ctd. JSM 08 Seeing what data looks like is the first step to data analysis It gives a broad-overview in what is going on Again, each row is a different sample, while the columns show the value of different variables for that sample Looking at the data tells you a lot of big-picture things - How many samples there are - How many variables there are The purpose of analysing data is to obtain usable and useful information. The analysis, irrespective of whether the data is qualitative or quantitative, may: • describe and summarise the data • identify relationships between variables • compare variables • identify the difference between variables • forecast outcomes SCALES OF MEASUREMENT Statistical analysis software can perform data analyses that range from basic descriptive tables (such as the number of clinic users by gender) to advanced statistics (such as regression analysis). In addition, these software programs also make it easier to calculate means, percentages, frequencies, and sums without having to create formulas or Exploratory Data Analysis Once the data has been cleaned and stored in a way that insights can be retrieved from it, the data exploration phase is mandatory. The objective of this stage is to understand the data, this is normally done with statistical techniques and also plotting the data. computer science or statistics. • For advanced skills, most organizations require either a bachelor's (57%) or a hired data analysis positions in the last 12 months. This workshop is an introduction to Computer Assisted Qualitative Data Analysis (CAQDA), which allows researchers to organize and analyze different types of qualitative data (from in‐ depth interviews to archival documents, from texts to moving images) in a systematic and The analysis of textual data aided by computer software which has been designed to support the analyst with the storage, coding and systematic retrieval of qualitative data. Distinctive Features The social science disciplines have seen a growing interest in the use of computer-assisted qualitative data analysis (CAQDAS) since its introduction 22Preparing Data for Analysis If you have conducted your own survey or experiment, your quantitative data must be prepared in a format suitable for computer entry. You learned in Chapter 8 that questionnaires and interview schedules can be precoded to facilitate data entry by representing each response with a unique number. Download PDF Abstract: Topological data analysis (TDA) is a tool from data science and mathematics that is beginning to make waves in environmental science. In this work, we seek to provide an intuitive and understandable introduction to a tool from TDA that is particularly useful for the analysis of imagery, namely persistent homology. Download PDF Abstract: Topological data analysis (TDA) is a tool from data science and mathematics that is beginning to make waves i