Data Collection Service for PhD Research

Data Collection service is provided for basically two purposes; to save the time and to let the experts successfully complete the tedious tasks.

As easy as it seems with the confirmed ways of collecting data; i.e. surveys, interviews and observation, data collection is not a simple process. It takes in-depth knowledge and assessment of the approach taken by the researcher.

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How We Help In Collecting Primary Data?

Although many PhD scholars usually work on the areas which have already been in the limelight and have a lot of available data that needs to be sorted out, some research work does require primary data collection. The primary data collection includes the approaches of surveys, interviews, experiments, and observations based on the data requirement and target population.

Points we take into consideration for primary data collection

When the data available is not directly linked to the current research and thus, does not seem reliable.
When the available data has been proved to have a biased collection approach.
When the existing data has been collected from an unrelated target population.
When the current research is experimenting on new areas in a field which does not have a lot of data.

How We Help In Collecting Secondary Data in Switzerland?

Brushing the facts; secondary data collection means collecting relevant data from existing studies. This does not include following the surveys, interviews, or experiments. To collect the secondary data, the researchers go through the existing data from official sources like the government records, census records, meta analyses, news articles, or so on.

Points we take into consideration for secondary data collection

When the existing data can be used for the current research without creating reliability and interpretation issues.
When the existing study did not completely utilize the collected data and left some areas untouched.
When the current research is about finding loopholes and suggesting modifications in the previous research; sometimes for meta analysis.
When the existing data needs to be compared with the current data to fulfil the research objective.

How Can The Team Of Academic Research Help You?

After understanding the need of primary and secondary data as well as the sources through which the data needs to be collected, let us inform you about additional benefits of working with our team.

Questionnaire Check

Before moving on to the primary data collection, we go through the questions included in the questionnaire prepared to check whether they fit the research objectives. Also, based on the questions (open-ended, close-ended, or both), we decide the appropriate data collection approach (online or offline, surveys or interviews, experiments or observations, etc.).

Suggestion For Analysis

The questionnaire, data collection approach, and collected data enable us to suggest the analysis technique. Different types of data (qualitative, quantitative, or mixed) require different softwares and tools to be properly analysed and modeled. To make the task simpler for the PhD students, we suggest the suitable softwares and tests they can run to analyse the data.

Data Collection