Qualitative Data Analysis For Centered Designs: Significance, Evidence, And Implications For Software Development

Discuss about the Qualitative Data Analysis for Centered Designs.

Qualitative data analysis is the analysis of qualitative data for the betterment of the user centered designs. User Centered Design or UCD is the procedural configuration that is not limited to any kind of technologies or user enabling devices (Endsley 2016). The characteristics of the end users, the flow of work and the jobs of a particular product, the procedure and the service, the environment, the objectives of the user, all these components are provided with intense attention in all the stages of the design procedure. Modern applications have taken the modern world completely. The most important application in modern world is the mobile phones (Lanter and Essinger 2017).The analysis is done to satisfy the customers completely and so that they provide positive impact to the organization.

The report outlines a brief description on the issues in the software development of user centered design with the critique of the paper of Coding, sorting and sifting of qualitative data analysis. The report also covers all the necessary evidence to support the position. The report further covers the implications for software development community (Sgier 2012). Proper recommendations are also provided in the report to see the proper places where they can be applied. The description of the report is given in the following paragraphs.

The report discusses on the qualitative data analysis of the user centered design. Coding, sorting and sifting of qualitative data are a significant paper by the author M.F. Chowdhury. It was published in June 2015. The paper describes the process and advantages of qualitative data analysis (Chowdhury 2015). Technology has reached to that level of point where everything is achieved by just click. Previously, telephones were present to serve to the world. However, the major drawback of telephones was that they could not be moved from one place to another because of the wires. Mobile phones were the solutions to these problems. Mobile phones can be accessed and used over a larger area without any physical connection with the network. This is main advantage of mobile phones (Bazeley 2013). These are cellular devices that are used for communication purposes. These user centered designed products are created for the end users. When the customers will be satisfied with the products, they will give positive reviews about the company and all over the organizational turn over will be increased (Graue 2015). Moreover, when the customers will criticize the products, there will be an improvement in the design and thus the analysis will be helpful for them. The qualitative data analysis includes all types of questionnaires, blogs, surveys, online questions. It is the process of interpreting data into a language that is understood by software. The coding of data means interpreting the data into an encrypted form so that the data is hacked by any unauthorized user. The sorting of the data means the arrangement of data and information as per the requirements of the end users (Miles, Huberman and Saldana, 2013). The word sifting refers to the examination of data. The qualitative data is sifted or scrutinized to make it error free.

Evidence

Several criticisms are done for the qualitative data analysis on all the user centered design devices. There are various issues in the user centered design products. According to recent survey, the distinct evidences like the practical and the theoretical ones, helps to attain the authenticity, capacity and robustness of the data after research (Silverman 2016). Many user centered designs have in built issues in their data analysis. All the evidences are given to prove the emotional, intellectual and practical attempts. The problems and the arguments presented in this particular paper are extremely convincing. The perfectness of all the systems for collecting the data are documented by various researchers. The methods to collect data include presentation of several texts and documents, observation and interview. The purpose of this documentation is nothing but to understand the use of main activities of the respondent (Seers 2012). These activities are like sorting files, telling various stories and describing the details of family life. There are several qualitative analysis of data. This data analysis describes about the elementary logic of medical examinations to know about the problems of the patients, the issues they are going through, their medical history and their experiences. The main advantage of this particular data analysis is helping the doctors and the nurses (Chowdhury  2015). They do not have to ask the patients again and again about their problems. Also, the patients will not feel disturbed with the continuous queries about their illness. Many patients feel irritated and mentally disturbed due to this phenomenon. The interpreting, arrangement and scrutiny of data includes the identification and explanation of the researcher. These activities of data are included according to the desire, requirement and environment of the participants and an entire span of the data, required for the research. The speed of a qualitative data analysis normally is increased (Grbich 2012). This increment in the velocity is basically due to several quantitative methods, used by the researchers to decode and know about the complex implications of qualitative data analysis. These quantitative data analysis methods produce specific data. However, the qualitative data analysis methods produce perfect detailed procedural data. The research done on the qualitative data analysis proves that they are completed only after perfect sorting, sifting and coding of data. Proper evidences are there to prove this point (Silverman 2016). Only data indexing and action categorizing are not the only reasons behind qualitative data analysis. Arguments are done after comparison and contrasting the qualitative and quantitative data analyses within several researchers. The qualitative data analysis has several features like flexibility and scalability. This makes the analysis extremely simple and easier.

Implications for Software Development

The procedure of programming, testing and fixing of bugs that is utilized to generate an application is known as software development. This software development involves with any kind of Internet enabled system to create a particular software. There are several implications of this paper in the software development community. The changes and the alterations in software development recognize several important implications (Salanova, Llorens and Cifre 2013). The first implication of software development community is the selection of software development methodologies. The first implication in this paper is the handling and managing of bulk data with efficiency and ease through the applications of the computer. The coding, sorting and scrutiny of qualitative data are completed by the famous and the modern integrated technology known as the ICT or information and communication technology. ICT is an extension of information technology that focuses on the integration of communication and telecommunications (Bazeley 2013). The second implication says that since testing of software is the most important action in development of software, then what will be the best approaches in combining testing into development. The third implication says that the software testers are the most important players in the software development process. It answers various questions like what will be the change in the data once the software is implemented. This paper helps to understand the necessity and simplicity of the integration of information and communications technology with the qualitative data analysis in recent days (Baguley et al. 2014). The first recommendation is for the companies of user centered design products. They should focus on the quality of their equipments used for the products. The data analysis is extremely important for all the organizations to understand the necessity of the analysis of data (Midgley and Arden 2014). The integration of software with the qualitative data can result into some of the major changes in the modern world. These changes would be very helpful for the organizations as well as for the rest of the world. The main point of this paper is to know the benefit of integration of qualitative data analysis with information and communication technology (Salanova, Llorens and Cifre 2013). This paper describes how an user should analyze data with the help of information and communication technology and how the this can be done with efficiency and ease. The paper also focuses on the process of software development for the integration of ICT and qualitative data analysis. This paper helps to change the views of all users who are using this software. It has even changed my views on the topic. The above-mentioned ideas are extremely helpful for all individual and for all organizations (Baguley et al. 2014). Modern technology has taken the world. I would apply these ideas and methodologies for my organization as my organization has to deal with huge amount of data analysis. This analysis is extremely important and ICT produces error free data with ease.

Conclusion

Therefore, from the above discussion it can be concluded that, user centered design are those products that are made for the betterment of users and the world. The report helps to understand the main point of the paper coding, sorting and sifting of qualitative data analysis. This type of analysis is extremely important for all user centered design products. The main aim of any product is to satisfy the customers. The customers after being satisfied, will give a positive review about the product and thus the company will earn profit. Similarly, when the customers will be dissatisfied, they will give negative reviews and the products can be improved. The report provides a brief introduction about the qualitative data analysis and its uses in modern life. The report also gives various arguments and evidences for the problem and to prove the point that how convincing the point is. The report also covers the major implications of software development and recommended ideas for applying this particular theory in the work practice of an organization.

References

Baguley, M., Danaher, P.A., Davies, A., De George-Walker, L., Jones, J.K., Matthews, K.J., Midgley, W. and Arden, C.H., 2014. Information and Communication Technologies. In Educational learning and development: Building and enhancing capacity (pp. 67-82). Palgrave Macmillan UK.

Bazeley, P., 2013. Qualitative data analysis: Practical strategies. Sage.

Endsley, M.R., 2016. Designing for situation awareness: An approach to user-centered design. CRC press.

Graue, C., 2015. Qualitative data analysis. International Journal Of Sales, Retailing & Marketing, 4(9), pp.5-14.

Grbich, C., 2012. Qualitative data analysis: An introduction. Sage.

Lanter, D. and Essinger, R., 2017. User?Centered Design. The International Encyclopedia of Geography.

Chowdhury, M.F., 2015. Coding, sorting and sifting of qualitative data analysis: debates and discussion. Quality & Quantity, 49(3), pp.1135-1143.

Miles, M.B., Huberman, A.M. and Saldana, J., 2013. Qualitative data analysis. Sage.

Salanova, M., Llorens, S. and Cifre, E., 2013. The dark side of technologies: Technostress among users of information and communication technologies. International journal of psychology, 48(3), pp.422-436.

Seers, K., 2012. Qualitative data analysis. Evidence-based nursing, 15(1), pp.2-2.

Sgier, L., 2012. Qualitative data analysis.

Silverman, D. ed., 2016. Qualitative research. Sage.