PhD Statistics is here to help you with exactly what it says, statistics for PhD academic research. Our PhD statistics help service and data analysis help is designed to provide support to research scholars across the world. PhD Statistics is a unit of Element K, a reputed education consultancy firm in India since 2008. With the help of our team of professional statisticians, we keep our service of PhD data analysis help in India focused on the specific needs of a client. Thus, we strive to cover statistical analysis for all domains and subjects in order to deliver assistance to maximum number of students.
Whichever mode you choose, we will ensure that you learn about the statistical tests and software used for analysis so you can confidently face questions linked to them. We follow an interactive and seamless process of doing data analysis, which makes the task hassle free for clients. If requested by the client, we also provide consultation to them regarding the research methodology to be used in their study.
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Qualitative research is a means for exploring and understanding the meaning individuals or groups ascribe to a social or human problem. The process of research involves emerging questions and procedures; collecting data in the participants setting, analyzing the data inductively, building from particulars to general themes; and making interpretations of the meaning of the data. The final written report has a flexible writing structure.
Quantitative research is a means for testing objectives theories by examining the relationship among variables. These variables can be measured typically on instruments , so that numbered data can be analyzed using statistical procedures. The final written report has a set structure consisting of introduction, literature and theory, methods, results and discussion.
This design is similar to the pretest-posttest except that there are more than two measurements.Ideally, there
When conducting correlational studies, research determine whether two variables (for example, height and weigh
Obviously, a measure should be more reliable and valid. It is possible, however, to have a test or measure tha