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Second Slide

Data Collection and Analysis

Data collection is very important task in your PhD research project. Good data collection involves collection relevant data that adds to the body of knowledge. The research methods that you will use to conduct the research determines manner of data collection.

In research, there are two basic types of data, which determines the type of analysis used :

Primary Research Data :Primary research determines the credibility and worthiness of the outcome of a study, as the data for it is collected directly by a researcher. Primary research involves the collection of data that is subsequently analyzed to come up with findings and recommendations that means the data has been collected from first-hand experience. It had not been published yet. It is more reliable, authentic and objective. It has not been changed or altered; therefore, its validity is greater than secondary data.

Examples for primary research data are experiments, participant observation, survey data analysis, case-study analysis, historical records analysis, econometric modeling, etc.

Secondary Research Data : Secondary data collection is referred to the gathering of data from published journals, annual reports, balance sheets, country reports, economic reports, newspapers, scholarly articles, and other related sources. While such data has already been captured by other researchers, students may not have access to varied sources that can provide relevant secondary data for their study. Thus, our professionals help them collect data from all possible sources that we have access to. The review of literature can also be considered as a form of secondary data. Secondary data may have some issues with validity but it is still an important data source. In cases where it is difficult to obtain primary data, getting information secondary sources is an alternative method.

Examples of secondary data sources are books, journals, periodicals, papers, etc.


Takeoff group offers specialized services for primary & secondary research and the collection of data. We assist in the collection of reliable and valid data. Depending upon the type of study and its objectives and hypotheses, both quantitative and qualitative data collection services are available for researchers. We follow an approach wherein a pilot study is undertaken before the actual process of data gathering begins. This helps to remove discrepancies, if any, in the pedagogy. Along with the data gathering process, we also undertake the task of data cleaning and management to facilitate further data analysis.

With a large number of expert statisticians onboard, Our team provides assistance in following essentials :
  •    Selecting appropriate tools to gather data
  •    Finalizing a representative sample size
  •    Designing focused questionnaires and forms
  •    Gathering Primary Data with the help of questionnaires, survey reports, experiments and interviews.
  •    Developing the indicator parts for instruments
  •    Providing a trained staff for collecting data
  •    Acquiring information through Secondary Data wherein our team extracts relevant data from sources like censuses, financial statements of firms, journals, magazines etc.
  •    Defining variables important for a study
  •    Ensuring to address the ethical issues involved in the collection of data

Data Analysis :

Data analysis involves the finding of results from the collected primary and secondary data through the use of applicable statistical tools and methods, as well as the interpretation of outcomes. Many research students may find this task extremely problematic, as they may not have the knowledge of advanced statistical techniques and tests. Data analysis refers to the sifting, assimilating, modeling and transforming of data collected by the researcher. It involves tabulation or presentation of data in some other form, done with the purpose of suggesting conclusions and supporting the hypothesis presented in the dissertation. It can be done in different ways and has many connotations, depending on the field and subject of research. The analysis of data can be done in descriptive, exploratory or confirmatory manner. The method to be used for data analysis depends on whether you are exploring a new idea in your research, or set out to prove some ideology already present. These issues relating to decision making can be easily resolved with the help of our experts.


How we help in Data Analysis :

Organizing Data : When you reach out to our statisticians for statistical analysis help, they start by filtering, sorting, and organizing your data. Our goal is to transform your complex data sets into meaningful information. They do the correct grouping and categorization of your data so it can be analyzed easily.

Choosing right statistical Tools/Techniques : As you only require relevant information out of the entire data, we help you choose the apt statistical tools and techniques to do so. While we assist you in selecting relevant testing methods, we also extend help with the use of specific statistical software your university or chosen journal has recommended. Our statisticians have in-depth knowledge of all commonly used tools like SPSS, R, EViews, SAS, STATA, etc.

Data Analysis : Scholars usually require our statistical analysis help for this cumbersome task of data analysis. We understand your study type and research design before recommending appropriate tests that you should conduct on your data. We also help you perform your data analysis using suitable software. Additionally, we help you generate the analysis reports you may require.

Data Interpretation : If you need our assistance at this step, then we gladly support you with the presentation of your findings. We make you understand the way we have chosen certain testing techniques and conducted the analysis. We can also help you understand the findings obtained from your data’s analysis.

Revisions & Query Resolution : Revisions on data analysis can be provided for a period of 30 days from the date of completion of project. All queries pertaining to the analysis and interpretation will be resolved by data analysis experts.

Time-Frame : We take very less time for analyzing your qualitative or quantitative data. However, for multi-variate analysis or structured equation modeling, it may require more time.


Our expert statisticians ensure :
  •    Minimizing errors in data
  •    Selection of appropriate statistical tools
  •    Application of tests
  •    Quicker turnaround
  •    Verifiable results
  •    Interpretation of results

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