Postgraduate Research Support- [email protected]

Through the [email protected] programme, the GSH collaborates with the Department of Library Services by hosting and facilitating a wide range of workshops and activities to provide postgraduate students with information and tools that assist in their career planning and research training. The support offered to students takes the students through the postgraduate lifecycle.

Examples of workshops that are presented are writing and presenting a research proposal, experimental design and data analysis, managing the student-supervisor relationship, research communication, funding applications and life skills. 

Workshops will be announced as and when they are confirmed.


ONLINE HANDS-ON DATA ANALYSIS WORKSHOPS

Are you struggling with data analysis using the various data analysis software programmes or need a refresher or introductory training workshop? The Graduate Support Hub runs several series of online hands-on data analysis training workshops for postgraduate students which may be helpful to you. The training workshops cover quantitative and qualitative data analysis.

Only a limited number of students can be accommodated for each workshop, hence candidates have to book in advance and only those who booked will receive confirmation and details of the scheduled workshops (date, data sets to be used during the workshops if applicable, link to join the workshop, etc.). Applicants will be divided into groups of 30 candidates each, and each group will be offered training starting from beginners’ level through intermediate to advanced levels for each statistical software (R and SPSS) and for qualitative data analysis software (Atlas.ti).

The following hands-on training workshops are offered online:

A. Hands-on Statistical Data Analysis Training Workshops Using R

1. Introduction to data analysis using R for beginners

2. Elementary statistical data analysis using R (Candidates must have attended workshop 1)

3. Intermediate statistical data analysis using R (Candidates must have attended workshops 1 and 2)

4. Advance statistical data analysis using R (Candidates must have attended workshops 1 to 3)

B. Hands-on Statistical Data Analysis Training Workshops Using SPSS

1. Introduction to data analysis using SPSS for beginners (Candidates must have downloaded SPSS software: contact [email protected] for assistance)

2. Elementary statistical data analysis using SPSS (Candidates must have attended workshop 1)

3. Intermediate statistical data analysis using SPSS (Candidates must have attended workshops 1 and 2)

4. Advance statistical data analysis using SPSS (Candidates must have attended workshops 1 to 3)

C. Hands-on Qualitative Data Analysis Training Workshops Using Atlas.ti

1. Introduction to Qualitative Data Using Atlas.ti for Beginners (Candidates must have downloaded Atlas.ti: contact [email protected] for assistance)

2. Creating a Project Unit for Coding in ATLAS.ti: Documents and introduction to coding (Candidates must have attended workshop 1)

3. Code Groups and Networked Code Groups (Candidates must have attended workshops 1 and 2)

4. Literature Review in ATLAS.ti Including Memos and Commenting (Candidates must have attended workshops 1 to 3)

5. Building Conceptual or Theoretical Frameworks (Candidates must have attended workshops 1 to 4)

 

Dates and other details for each workshop will be provided to specific groups of booked candidates. 

For further details and information contact Ms Mikateko Ngobeni ([email protected])  


ONLINE TRAINING MATERIAL REPOSITORY 

A space has been created where all online training materials to assist postgraduate students in their research can be stored and accessed. This space is updated on a regular basis and is accessible through the Library (Research Commons) online training tab.

Materials can also be easily accessed by using the links provided on the poster below:

Published by Ncuthukazi Tshabalala

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