Module 1: Foundational Data Concepts and Stata Interface

·       Understanding data types, scales of measurement, and ethical data handling

·       Navigating the Stata interface: Command, Review, Results, and Variables windows

·       Stata syntax essentials: do-files for reproducible research and workflow automation

·       Importing and exporting quantitative data (Excel, CSV, proprietary formats)

·       Practical session: Writing and executing a reproducible do-file to import data and manage working directories

Module 2: Advanced Quantitative Data Manipulation in Stata

·       Data cleaning: identifying and handling missing values, outliers, and inconsistencies

·       Creating and transforming variables: using generate, replace, and string functions

·       Recoding variables and value labeling: ensuring meaningful and descriptive data

·       Managing datasets: appending, merging, and reshaping data from wide to long formats

·       Practical session: Cleaning a messy raw dataset by identifying errors, recoding variables, and merging two disparate files

Module 3: Descriptive Statistics and Data Visualization in Stata

·       Calculating and interpreting descriptive statistics: means, medians, standard deviations, and frequencies

·       Using tabulate and summarize for data exploration and quality checks

·       Creating professional statistical graphs: histograms, box plots, and scatter plots using graph twoway

·       Customizing graph schemes, labels, and titles for publication-quality output

·       Practical session: Generating publication-ready visualizations and summarizing the distribution of key variables using descriptive tables

Module 4: Inferential Statistical Analysis using Stata

·       Fundamentals of hypothesis testing, confidence intervals, and p-values

·       Comparative analysis: t-tests (one-sample, independent, paired) and ANOVA

·       Correlation and simple linear regression: understanding relationships between variables

·       Introduction to multivariate analysis: building and interpreting multiple regression models

·       Practical session: Running an independent samples t-test and a multiple linear regression, and interpreting the output for reporting

Module 5: Introduction to Qualitative Data Analysis and NVivo

·       Principles of qualitative research: understanding concepts like grounded theory, thematic analysis, and discourse analysis

·       Overview of the NVivo interface: setting up a project, ribbon, and workspace navigation

·       Types of qualitative data suitable for NVivo: text, interviews, social media, and multimedia

·       Developing a project framework: creating case classifications and attribute variables

·       Practical session: Creating a new NVivo project, defining a research question, and setting up the initial project structure

Module 6: Preparing and Importing Qualitative Data into NVivo

·       Document preparation techniques: formatting interviews and transcripts for optimal import

·       Bulk importing different file formats (PDFs, Word documents, spreadsheets, multimedia)

·       Creating and managing sources: grouping documents and defining internal versus external sources

·       Working with datasets: importing survey responses and other structured qualitative data

·       Practical session: Importing a diverse set of sources (5+ documents and an audio file) and creating folders for organization

Module 7: Systematic Coding and Node Management in NVivo

·       The process of qualitative coding: inductive vs. deductive approaches

·       Creating and modifying nodes: structuring the thematic hierarchy and refining definitions

·       Coding sources: applying coding stripes and performing auto-coding for volume data

·       Memos, annotations, and links: connecting analysis to ideas and external resources

·       Practical session: Systematically coding one interview transcript using a pre-defined set of nodes and creating two analytical memos

Module 8: Exploring Themes and Patterns with NVivo Queries

·       Text search queries: finding specific words or phrases across all sources

·       Word frequency analysis and word clouds to quickly identify dominant topics

·       Matrix coding queries: examining the overlap between different themes (nodes) and sources (cases)

·       Cross-tabulation queries: linking coded themes to demographic attributes

·       Practical session: Running a Matrix Coding Query to compare coded themes across different participant groups and interpreting the results

Module 9: Integrating Quantitative and Qualitative Findings (Mixed Methods)

·       Rationale for mixed-methods research: triangulation, explanation, and integration

·       Importing Stata output (tables, graphs) and integrating quantitative data attributes into NVivo cases

·       Using NVivo to manage and analyze sequential or concurrent mixed-methods data

·       Visualizing integration: comparing quantitative and qualitative findings in NVivo charts and maps

·       Practical session: Linking quantitative results (e.g., demographic data) imported from Stata to qualitative cases in NVivo and running a comparison query

Module 10: Reporting, Dissemination, and Ethical Data Practices

·       Techniques for qualitative and quantitative data summarization and presentation

·       Generating reports and extracting analysis from both Stata and NVivo for final write-up

·       Data security, privacy, and confidentiality considerations in data storage and sharing

·       Ethical challenges in disseminating research findings to different audiences

·       Practical session: Creating an organized final report from NVivo nodes and Stata output, focusing on clear, evidence-based storytelling

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