Module 1: Introduction to Stata and Data Management

• Introduction to Stata interface and environment
• Data entry and importing data into Stata
• Data cleaning and validation techniques
• Data manipulation and transformation
• Descriptive statistics and basic data exploration
• Practical session: Importing, cleaning, and exploring a sample dataset in Stata.

Module 2: Statistical Analysis with Stata

• Hypothesis testing and confidence intervals
• Correlation and regression analysis
• Analysis of variance (ANOVA)
• Non-parametric tests
• Creating tables and graphs for data visualization
• Practical session: Conducting regression analysis and creating visualizations in Stata.

Module 3: Advanced Stata Techniques

• Panel data analysis
• Time series analysis
• Survival analysis
• Using Stata for survey data analysis
• Writing Stata do-files for reproducible research
• Practical session: Performing panel data analysis using Stata.

Module 4: Introduction to NVivo and Qualitative Data Management

• Introduction to NVivo interface and environment
• Importing and organizing qualitative data (text, audio, video)
• Creating nodes and coding data
• Managing and organizing nodes
• Using sets and cases in NVivo
• Practical session: Importing and coding qualitative data in NVivo.

Module 5: Qualitative Data Analysis with NVivo

• Developing and refining coding schemes
• Exploring relationships between nodes
• Using queries and matrices for data analysis
• Visualizing qualitative data
• Writing memos and annotations
• Practical session: Conducting a matrix query and visualizing qualitative data in NVivo.

Module 6: Advanced NVivo Techniques

• Thematic analysis and framework analysis
• Using NVivo for literature reviews
• Conducting mixed methods analysis in NVivo
• Using NVivo Collaboration Server
• Reporting qualitative findings
• Practical session: Conducting a thematic analysis using NVivo.

Module 7: Integrating Quantitative and Qualitative Data

• Understanding mixed methods research designs
• Using Stata and NVivo for mixed methods projects
• Integrating quantitative and qualitative findings
• Developing mixed methods reports
• Best practices for mixed methods research
• Practical session: Developing a mixed methods report using Stata and NVivo outputs.

Module 8: Data Ethics and Management

• Data privacy and ethical considerations
• Data storage and security
• Data management plans
• Data sharing and dissemination
• Best practices for data documentation
• Practical session: Developing a data management and ethics plan.

Module 9: Advanced Data Visualization

• Creating advanced graphs and charts in Stata
• Using external tools for data visualization
• Communicating data effectively
• Creating interactive dashboards
• Best practices for data presentation
• Practical session: Creating interactive dashboards using data visualization tools.

Module 10: Project-Based Application

• Applying Stata and NVivo to real-world research projects
• Developing comprehensive research reports
• Presenting research findings
• Peer review and feedback sessions
• Project sustainability and scalability
• Practical session: Applying Stata and NVivo to analyze a real-world dataset and present findings.

Requirements

Participants should be reasonably proficient in English.

Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588