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Google Data Search
Google Data Search Engine
"The tool, called Google Dataset Search, should help researchers to find the data they need more easily."
(For more, visit: https://www.nature.com/articles/d41586-018-06201-x
Accessed: 2 Oct 2018)
Statistical Software Access - contacts and 'how-to'
Various statistical software exist, that can make life easier when analyzing your data.
IBM SPSS and Atlas.ti both uploaded on all Hatfield and Groenkloof Research Commons computers.
To have IBM SPSS, Atlas.ti or Stata installed on your personal computer, email your enquiry to email@example.com. Please note: this can only be done for registered UP students.
SAS Statistical Software Download
With this link a student can download the statistical software (SAS) on his or her computer for free; students can register with their UP email address and will need to install two programs on their computer.
The Research Commons computers are now equipped with R - a free tool with a user-friendly interface for managing and analyzing your research data. R is a popular alternative to other statistical programs, such as SPSS, SAS, and Python. Find out more about the basics of R here: https://www.datamentor.io/r-programming/
For access to Qualtrics for your personal computer, please:
- Contact Charl.firstname.lastname@example.org and request to be added to the IT Services portal
- Once Charl has confirmed that your profile has been added, follow the steps outlined here.
There are no Past presentations available at present.
Data collection techniques
Under the main three basic groups of research methods (quantitative, qualitative and mixed), there are different tools that can be used to collect data. Interviews can be done either face-to-face or over the phone. Surveys/questionnaires can be paper or web based. Observations and experiments can be conducted to collect either quantitative, qualitative or a mixture of the two methods. Records can also be used to study previous information by other researchers.
- Organise collected data as soon as it is available
- Begin with the end in mind - know what message you want to get across and then collect data that is relevant to the message
- Collect more data
- Create more data
- Regularly run experiments or collect data
- Challenge your assumptions
- Set reasonable expectations
- Take note of interesting or significant data
- Quantity is good but quality is even better
Recommended Quantitative Data Collection books
Recommended Qualitative Data Collection books