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PHD DATA ANALYSIS SERVICE

Data Analysis is an important part of any research as they help readers evaluate the necessity and importance of the research. Data Analysis involves collection of data, analysing them for relationships among each other and presenting them in an understandable form, usually graphs and diagrams. They show the social and financial impact the research can have on society. But Data Scraping and cleaning and establishing a relationship might prove difficult to you. Our team of data analysts will perfectly execute the job for you. However, to perform data analysis, one should require adequate knowledge in:

  • Determining the type of data (quantitative or qualitative )
  • Identifying meaningful insights from every data piece
  • Opting for reliable data analysis tool
  • Breaking larger volumes of data into accessible fragments
  • Choosing appropriate statistical test
  • Interpreting the data & arriving at a conclusion

CHALLENGES FACED

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LITERALS IN R LANGUAGE

The collection of variables or literals used in R language can pose a problem during data analysis like carrying strings, variables having the same name of commands leading to errors.
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MISSING NUMERICAL VARIABLES IN SPSS

Any value can be lost while using SPSS either absent or misplaced from data which can be viewed later as periods or invisible data while analysing which needs to be specified by users.
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TESTING RELIABILITY

A reliable test needs to produce the same results in every consecutive trial in order to establish the findings of a research. This is done to mitigate the problem of not screening the data.
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CODING IN NVIVO

Sometimes the codes used in NVivo can be similar to two users, which needs comparison or coming to an agreement of sorts. Duplicates must be merged to ensure better working.

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PHD STATISTICIANS TO HELP IN CHAPTER 4 OF THESIS

Do you wonder if you have the right insights and tools to conduct an effective data analysis? Our data analysis services critically analyse the data that is produced by any type of research.

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Adaptable Data Analysis Methods

We help in choosing appropriate analysis techniques and use both qualitative, quantitative and mixed data analysis techniques depending upon the nature of the study.
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Data Management

We have some applications that can be used instantly to address common data issues and clear frequently occurring data issues by adapting certain methods.
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Tools And Requirements

Our services include the use of most popular data analysis tools such as SPSS, STATA, AMOS, NVivo by including expert statistical help to aid analysis of data.
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Development Of Hypothesis

Hypothesis comprises concepts that need to be measured. Our team ensures the translation of such concepts into measurable factors such as variables for easier analysis of data.

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