Data Analysis

Data analysis is the most challenging step for all the research scholars since it involves analysis and evaluation of the data that have been collected in the course of their research – without the analysis of data, a thesis or dissertation would be incomplete. There are a lot of methods for collecting data, depending on your field of study and the scope of your research paper. For example, if you are keen to understand the sentiments of the public with regard to a regulation or a law enforced by a government, you may opt for polls, surveys or interviews. On the other hand, if you need detailed information on a particular topic, relevant to your research paper, you may choose to conduct a face to face interview with an individual or a focus group interview. Analysis of the data is then dependent on the data collection method – quantitative data, collected through surveys and polls, can be analysed using statistical tools such as Econometric Views (E-Views), Statistical Package for the Social Sciences (SPSS), Stata and SAS to name a few, whereas qualitative data, collected through in-depth interviews, has to be analysed manually. Thus every PhD scholar needs a PhD data analysis help from their professors and guides.

Data analysis must be performed using an appropriate approach as it determines whether your research has the potential to justify the objectives of the study and if the hypothesis is attested or violated. To perform data analysis without any arduousness, a research scholar must have a thorough knowledge about various statistical techniques and tools such as SPSS, STATA, SAS, R language, AMOS, etc. Although right approach and tool is used, analysis of data can be cumbersome, depending on the amount of data at hand. Some of the challenges faced while conducting data analysis are: inability to handle huge data sets, lack of knowledge about the modules used, implementation of complex software, interpretation of the results, and many more. To help such struggling scholars statisticians at ELK consulting offer PhD data analysis help and assist scholars perform data analysis effortlessly.

This is where ELK Consulting comes into the picture. Subject matter experts at ELK Consulting identify the most effective and efficient way of collecting and analysing data based on the requirements and scope of your research paper. Our statisticians will guide you on qualitative & quantitative analysis and also offer assistance with data collection, performing data Analysis using SPSS, SAS etc., resolving coding errors, and interpretation of results. Analysis of data is not just limited to making sound inferences and deductions – it also requires one to prove the validity of the research and reliability of the data, which can be tedious and time-consuming. Our PhD statisticians not only solve all your data analysis woes but also ensure that analysed data is presented in an easy to understand manner – using pie charts, tables, and graphs.
At ELK Consulting, we believe in giving our best from start to finish – if tasked with a data analysis project, we ensure that all the three components – collection, analysis, and presentation of data – are completed to the best of our abilities. That is our promise to you. For more information on our dissertation data analysis help and thesis data analysis help and how we handle projects related to the analysis of data, please feel free to contact us at