From creating a visual representation of data points to impress potential investors, report on progress, or even visualize concepts for customer segments, data visualizations are a valuable tool in a variety of settings. Our application is capable of sophisticated data analysis and reporting complete with a multitude of ways to visualize your data. Whether you need to analyze data and determine the best ways to present it to clients or partners, or you have a visual layout in mind and need a tool to bring your concept to life. It combines graphical analysis with community, encouraging users to upload, share and discuss information. It is very well documented and includes valuable suggestions on when to use what kind of visual data representation.
Every research problems have been influenced by the epistemological perspective, for instance researchers identified two suggestions for a particular management research problem but the best suggest is selected on the basis of scope and validity given recommendations (Jackson 2012, p.44). Epistemology can be called as logical way of
It is used to identify the variables used in the case studied. The data will be collected by the consumers through the questionnaires, which will contain both the qualitative and quantitative data as the descriptive study is restrictive in respect to open-ended questions so that is why the researcher needs a flexible research design which will be suited for the research study. Data Collection
For many years, quantitative methods for research have been used to test theories and hypotheses. Qualitative methods are still growing and in contrast to the quantitative methods, they provide a better understanding of meaning and experiences of participants. The emphasis is on the quality of experience, instead of causal relationships (Pietkiewicz & Smith, 2012). It is very important to follow a set of guidelines to provide the readers with adequate details of the research being performed and give an overview and understanding of the participants’ background lives. Elliott, Fischer, & Rennie (1999) constructed a set of guidelines to review qualitative research.
For example, say you are measuring variables and verifying existing theories. For this kind of research you would use quantitative research methodology. You see, data is used to find a hypothesis based on the type of results you gathered or collected from the different variables. You will find you are much happier about how you were able to verify quantitative data once you do this because most people feel safe when using numbers and
4.1 Introduction. In this chapter, this describes results of the data analysis. Data collected through the questionnaire survey were fed into SPSS 16.0 (a statistical software tool) in order to generate a comprehensive analysis of the study which is discussed in this chapter. This chapter mainly consists with descriptive statistics and inferential statistics. Under inferential statistics, reliability analysis and a logistic regression has been done.
It is used to gain an understanding of underlying reasons, opinions, and motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research. Qualitative Research is also used to uncover trends in thought and opinions, and dive deeper into the problem. Qualitative data collection methods vary using unstructured or semi-structured techniques. Some common methods include focus groups (group discussions), individual interviews, and participation/observations.
Collecting and analyzing data comes as an essential step in any research to give an end result. In every research a data is the main source of information, whether it is quantitative or qualitative research. According to Anselm Strauss and Juliet Corbin there are three main components of Qualitative research and first one is data which actually comes from “sources like interviews, observations, documents, records and films.”(A Strauss, J Corbin, 1990, p 11-12) Qualitative data are not numeric like in Quantitative data which can be calculated with accuracy. “Qualitative data is extremely varied in nature. It includes virtually any information that can be captured that is not numerical in nature.”(William M.K.
Themes can be extracted through coding of data, elaborating on the data, interpreting then checking of the data into categories or themes that cut across all of data sources. While quantitative research methods, refers much to the systematic scientific investigation of quantitative properties and phenomena and their relationships (Terre Blanche, Durrheim, & Painter, 2006:322). 3.14 Pilot Study A pilot study was done in
Additionally, these things are used in order to impart knowledge to other people. Philosophical analysis also allows people to get jobs and be professionals because people use analysis in data and situations. With philosophical analysis, people would be able to analyze data the right way and this would result to them being employed. Once he or she is employed that person could gain profit that he or she could use to sustain daily needs or to satisfy his or her