Culture and Arts Cultural Studies

Collect and Analyse Research Information Training

SAQA US 255678 | NQF 5 | Credits 15 | Duration 12 Days
From $2,214 per delegate

Description

This course equips learners with the skills to systematically collect and analyse information for research purposes. It covers qualitative and quantitative data gathering techniques, data analysis methods, and the ethical considerations involved in research. By the end, learners will be able to plan, execute, and report on research projects effectively.

Learning Outcomes

  • Apply appropriate data collection methods to gather relevant information for a research project.
  • Analyse collected data using qualitative and quantitative techniques to identify patterns and insights.
  • Evaluate the reliability and validity of research findings to ensure accuracy.
  • Demonstrate ethical research practices, including informed consent and confidentiality.
  • Present research findings in a clear and structured report.
  • Implement a research plan that aligns with organisational or academic objectives.

Target Audience

This course is designed for professionals, managers, and researchers who need to gather and interpret information to support decision-making or academic studies. It is suitable for anyone involved in conducting research as part of their role.

Prerequisites

None — open enrollment

Course Outline

Day 1: Introduction to Research and Information Collection

Objectives:
• Understand the purpose and scope of research information collection.
• Identify different types of research information.
• Recognise ethical considerations in research.
• Define key research terminology.

Topics:
• Overview of research and its importance
• Types of information: primary, secondary, qualitative, quantitative
• Ethical principles: confidentiality, consent, integrity
• Key concepts: validity, reliability, bias
• Introduction to the research process

Day 2: Planning Research Information Collection

Objectives:
• Formulate clear research objectives.
• Develop a research plan.
• Identify appropriate information sources.
• Understand sampling methods.

Topics:
• Setting research objectives and questions
• Developing a research proposal
• Sources of information: databases, libraries, experts
• Sampling techniques: random, stratified, convenience
• Timeline and resource planning

Day 3: Data Collection Methods: Surveys and Questionnaires

Objectives:
• Design effective survey instruments.
• Administer questionnaires.
• Apply question types appropriately.
• Minimise response bias.

Topics:
• Survey design principles
• Types of questions: open-ended, closed-ended, Likert scales
• Pilot testing and validation
• Administration methods: online, paper, face-to-face
• Avoiding leading questions and bias

Day 4: Data Collection Methods: Interviews and Focus Groups

Objectives:
• Conduct structured and semi-structured interviews.
• Facilitate focus group discussions.
• Record and transcribe data accurately.
• Manage group dynamics.

Topics:
• Interview types: structured, semi-structured, unstructured
• Developing interview guides
• Focus group moderation techniques
• Recording methods: audio, video, notes
• Ethical considerations in qualitative data collection

Day 5: Data Collection Methods: Observation and Document Analysis

Objectives:
• Conduct systematic observations.
• Analyse documents and records.
• Use observation checklists.
• Ensure objectivity in observation.

Topics:
• Types of observation: participant, non-participant
• Developing observation schedules
• Document analysis: content analysis, thematic analysis
• Recording observations
• Reducing observer bias

Day 6: Data Organisation and Storage

Objectives:
• Organise collected data systematically.
• Use software tools for data management.
• Ensure data security and confidentiality.
• Create data backups.

Topics:
• Data entry and coding
• Using spreadsheet and database software
• Data cleaning techniques
• Data storage solutions: cloud, local, encrypted
• Data protection regulations (POPIA)

Day 7: Qualitative Data Analysis

Objectives:
• Apply thematic analysis to qualitative data.
• Use coding techniques.
• Interpret qualitative findings.
• Ensure trustworthiness of analysis.

Topics:
• Thematic analysis process
• Open coding, axial coding, selective coding
• Using software for qualitative analysis (e.g., NVivo)
• Interpreting themes and patterns
• Trustworthiness: credibility, transferability, dependability

Day 8: Quantitative Data Analysis: Descriptive Statistics

Objectives:
• Calculate measures of central tendency.
• Calculate measures of dispersion.
• Create frequency distributions.
• Interpret descriptive statistics.

Topics:
• Mean, median, mode
• Range, variance, standard deviation
• Frequency tables and histograms
• Using Excel for descriptive statistics
• Interpreting results in context

Day 9: Quantitative Data Analysis: Inferential Statistics

Objectives:
• Understand hypothesis testing.
• Perform t-tests and chi-square tests.
• Interpret p-values and confidence intervals.
• Use statistical software.

Topics:
• Null and alternative hypotheses
• Significance levels and p-values
• T-tests: independent and paired
• Chi-square test for independence
• Introduction to SPSS or similar

Day 10: Data Interpretation and Drawing Conclusions

Objectives:
• Synthesise findings from multiple data sources.
• Draw valid conclusions.
• Identify limitations of the research.
• Make evidence-based recommendations.

Topics:
• Triangulation of data
• Linking findings to research objectives
• Identifying patterns and relationships
• Limitations and delimitations
• Formulating recommendations

Day 11: Presenting Research Information

Objectives:
• Create effective tables and graphs.
• Write a clear research report.
• Present findings to an audience.
• Handle questions and feedback.

Topics:
• Data visualisation: charts, graphs, infographics
• Research report structure: introduction, methodology, results, discussion
• Presentation skills: verbal and visual
• Handling Q&A sessions
• Citing sources and referencing

Day 12: Integration and Application

Objectives:
• Apply the entire research process to a case study.
• Critically evaluate research information.
• Develop an action plan for future research.
• Reflect on ethical practice.

Topics:
• Case study: collecting and analysing research information
• Peer review and feedback
• Developing a research action plan
• Ethical reflection and continuous improvement
• Course wrap-up and assessment

Practicals

36 hours of practicals To be conducted online or on-campus or in-house
Overview

Learners engage in hands-on practical sessions that simulate real-world research scenarios. These practicals reinforce theoretical concepts by having learners design instruments, collect data, analyse findings, and present results, ensuring competency in each step of the research process.

Practical Activities
  • Design and Administer a Survey — Learners design a survey questionnaire on a given topic, pilot it, administer it to peers, and collect responses. (8h)
  • Conduct an Interview and Focus Group — Learners conduct a semi-structured interview and facilitate a focus group discussion, recording and transcribing the data. (8h)
  • Analyse Qualitative Data Using Thematic Analysis — Learners code interview transcripts using thematic analysis and identify key themes using software or manual methods. (8h)
  • Analyse Quantitative Data Using Descriptive and Inferential Statistics — Learners use Excel to calculate descriptive statistics and perform t-tests or chi-square tests on provided datasets. (8h)
  • Present Research Findings — Learners prepare a short presentation summarising their research findings from the practicals and present to the class for feedback. (4h)

Summatives

Each delegate is assessed continuously throughout the course via daily exercises, scored practical assignments, and a final summative test at the end.

Practical Assignments — 30%

Practical assignments are observed and scored against a rubric during the practical sessions. Each delegate's practical mark is averaged into a single 100% score and contributes 30% to the final total.

Daily Exercises — 20%

Every training day ends with a multiple-choice exercise scored out of 100%. The scores from each daily exercise are averaged across the duration of the course to produce a Daily Average mark, which contributes 20% to the final total.

Final Test — 50%

On the last day a final summative test is written. It is a multiple-choice paper with multiple-answer questions: each question may have more than one correct option, and a single wrong selection on a question marks the entire question wrong — no partial credit. The final test is scored out of 100% and contributes 50% to the overall mark.

Final Total
Component Out of Weight
Practical Assignments (rubric-scored) 100% 30%
Daily Average (multiple choice) 100% 20%
Final Test (multi-answer multiple choice) 100% 50%
Final Total 100%

All marks are recorded on the AATICD LMS and visible to each learner under their account.

Certificate

Certificate of Completion

Awarded to delegates who achieve an overall mark of 50% or higher on the Final Total (Practicals 30% + Daily Average 20% + Final Test 50%).

How it works
  • Certificates are auto-generated on the AATICD LMS as soon as the marks pass the 50% threshold.
  • Each certificate is a branded PDF with the delegate's name, the course title, the unit standard ID, NQF level, credits, and the date of issue.
  • You can download or print your certificate from your LMS dashboard at any time after issue — there's no reissue fee and no expiry date.
  • If you scored under 50% you can sit the final test again at the next scheduled session at no extra cost.
Where to find it

Sign in to the LMS, open your dashboard, and your certificates appear under My Certificates. Each entry has a View / Download button and a print option.

Training Discounts

Group discounts apply automatically — the more delegates you enrol, the greater the saving. Discounts are calculated at 3% per 5 delegates, scaling up to 40% off for 100+ delegates.

Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% discount per 5 delegates, up to 40% off for 100+ delegates. Contact us for a custom group quote.

Upcoming Training Sessions
Online training — attend live sessions from anywhere via our virtual classroom.
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Tue 08 Sep 2026 Wed 23 Sep 2026 Virtual Spring 2026 $2,214 Register
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Wed 19 Jan 2028 Thu 03 Feb 2028 Virtual Summer 2027 $2,214 Register
On-Campus training — face-to-face sessions at our training venues across Africa and beyond.
Showing all 492 sessions across 26 venues
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Mon 10 Aug 2026 Tue 25 Aug 2026 Cape Town, South Africa Winter 2026 $5,481 Register
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In-House training — we bring the trainer to your organisation, tailored to your team.
Start End Delivery Season Price Action
Wed 16 Sep 2026 Thu 01 Oct 2026 Your Premises Spring 2026 $2,878 Register
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Mon 22 Mar 2027 Tue 06 Apr 2027 Your Premises Autumn 2027 $2,878 Register
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Wed 28 Jul 2027 Thu 12 Aug 2027 Your Premises Winter 2027 $2,878 Register
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Fri 29 Oct 2027 Mon 15 Nov 2027 Your Premises Spring 2027 $2,878 Register
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Fri 07 Jan 2028 Mon 24 Jan 2028 Your Premises Summer 2027 $2,878 Register
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Training Discounts
Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% off per 5 delegates, up to 40% for 100+

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