Qualitative Data Analysis
Course Code and Name
Review of the Two Qualitative Data Analysis Software
The two data software that I would use in my case is Microsoft Word and Excel, which are part of the Microsoft Office suite. Some of the frequently asked questions about Excel are; what do you mean by cells in excel? Can you format Microsoft Excel cells? Can you add comments to a cell? What is ribbon and where does it appear? Equally, some of the frequently asked questions about Microsoft word are; what are the steps of creating a macro in Word? How is the indent amount customized? Besides, Microsoft excel can sort tabulated data, calculate a large data set and insert a pivot table (Foulkes, 2020). Some of its limitations include higher chances of human error due to the lack of error control features. Again, the program lacks control and security of the data.
Additionally, one of the considerations to make before choosing a qualitative data analysis software is the cost of the program. The cost should not exceed the project’s financial scope and it should be of a lower price that would help save money for other activities of the project. Again, the other consideration to make is the effectiveness of the program. The software should be able to compute all the data fed into it and make a valid output without much complication (Evers, 2018). Ease of use is the other consideration to be made and this ensures that time is saved by quickly understanding how the software works. Complex software with sophisticated operating procedures might lead to a lot of time being wasted on computing the raw data.
Summary of My Experience with Coding Using Microsoft Excel
Accordingly, working with excel as my preferred choice of Qualitative Data Analysis software has been great. The software is easy to use because of its intuitive nature. Again, it contains a majority of the features that are present in other Microsoft Office programs such as Word and PowerPoint which I am familiar (Foulkes, 2020). This made me execute my tasks with much ease and with little consultation. Similarly, it contains all the basic and complex mathematical formulas necessary for any calculations and this helped me arrive at different statistical conclusions from my data set (Bree & Gallagher, 2016). Navigating through the cells and tabs was an easy task and this made my data analysis to be simpler than I expected.
What Worked Well, and What Didn’t Work
Notably, creating data sets in new sheets and filling in the various cells and ta groups worked well during my experience with the software. Again, I enjoyed using the automated suggestions that helped me to write the various codes for the interviews without having to type everything into the cells. However, there were various difficulties in creating outputs from the software and this was mainly due to conflicting formulas. Further, due to its graphical nature, manual data entry was easier and the various keywords could be identified by just looking at the output of the program (Bree & Gallagher, 2016). However, the software has few error control mechanisms in place and this could lead to errors in the output. Again, manually checking errors proved to be time-consuming and a difficult task considering that I was using data analysis software.
Comparing and Contrasting Features of the Two Programs
Microsoft Excel and Word programs can both be used as qualitative data analysis software. Both software contains a good number of statistical and analytical formulas that can be used for processing raw numerical data. Again, the two applications can be used to process data into visual forms such as charts. Similarly, they both contain formatting tools and toolbars that help to edit the various sections of data that might be keyed in the programs. These help to develop outputs that suit the needs and desires of the user with much ease. Further, both applications allow the insertion of letters and numbers and this means that they can be used to input any kind of data that contains names or numerical figures. However, Microsoft excel has little reusability compared to Microsoft word and this occurs when one needs to copy and paste a new set of data to a previously void data set (Bree & Gallagher, 2016). Microsoft Excel does not contain a verified and reliable repetitive way to collect data from many sources and this might cause summation errors in regions where the macros had not yet been defined. On the contrary, Microsoft word can copy data from multiple sources without producing any errors.
Why I Choose the Two versus the Others
One of the reasons why I chose the two qualitative data analysis software is because they are from one manufacturer and are they form part of the Microsoft Office suite thus making them contain similar features. Again, their close relationship is critical because knowing using one of the programs makes you familiar with the other program and this reduces the strain that one might go through in understanding their functionalities. Again, it is easier to create a single document by exporting data from either of the programs and this reduces the hustle of needing to acquire new software to complete a certain task (Oswald, 2019). Again, all the features of the programs are purchased in the suite package and this does not require one to purchase additional features that might be locked in the applications, unlike most the qualitative data analysis software. Given experience in the course, I would like to develop a fake news detection software using any of the programming languages in the market.
Bree, R. T., & Gallagher, G. (2016). Using Microsoft Excel to code and thematically analyse qualitative data: a simple, cost-effective approach. All Ireland Journal of Higher Education, 8(2).
Evers, J. C. (2018). Current issues in qualitative data analysis software (QDAS): A user and developer perspective. The Qualitative Report, 23(13), 61-73.
Foulkes, L. (2020). Learn Microsoft Office 2019: A Comprehensive Guide to Getting Started with Word, PowerPoint, Excel, Access, and Outlook. Packt Publishing Ltd.
Oswald, A. G. (2019). Improving outcomes with qualitative data analysis software: A reflective journey. Qualitative Social Work, 18(3), 436-442.