Research Design, Data Management, and Statistical Analysis using Stata

Course Overview:

In the contemporary socio-economic and business landscape, proficiency in research design, data management, and statistical analysis is indispensable for making well-informed decisions. This course equips participants with the essential skills to conduct systematic research using various datasets and techniques, focusing on the utilization of Stata as a powerful tool for research, data management, and analysis. Through hands-on practices in study design, data collection, and analysis, participants will develop competence in quantitative techniques, enabling them to contribute effectively to decision-making processes.

 Training Calendar:

⏱ 18 March 2024 - 22 March 2024

⏱08 April 2024 - 12 April 2024

⏱ 13 May 2024 - 17 May 2024

Duration: 10 Days (Onsite)

                    14 Days (Online-Instructor Led)
Location: Nairobi, Kenya

Target Audience:

This training is tailored for individuals aiming to acquire skills in planning and implementing effective research studies, encompassing data management and analysis. The course is suitable for professionals in the private sector, government institutions, research organizations, and non-governmental organizations (NGOs).

Course Objectives:

Course Objectives:

1. Demonstrate understanding and appropriate use of statistical terms and concepts.
2. Design and implement universally accepted research studies.
3. Develop a functional research protocol.
4. Design quantitative and qualitative data collection tools.
5. Perform data analysis tasks using Stata.
6. Execute simple to complex data management tasks using Stata software.
7. Conduct statistical tests using Stata.
8. Write reports based on survey data.

Course Outline

1. Introduction to Research
   • Types of research
   • Formulating research problem statements
   • Formulating research hypotheses
   • Overview of evaluation objectives, criteria, and questions
2. Research Design
   • Quantitative and qualitative research approaches
   • Sampling techniques and sample size determination
   • Data collection methods and tools
   • Developing a research protocol
3. Mobile Data Collection and Processing (ODK)
   • Introduction to mobile data gathering
   • Designing survey forms using ODK build and XLSForm
   • Data collection using ODK collect and aggregation with ODK aggregate
4. Data Processing
   • Coding, capture, editing, and imputation of data
   • Treatment of outliers
5. Introduction to Stata Statistical Software
   • Stata interface, features, and key terminologies
   • Data file preparation, entry, and manipulation
   • Basic statistics and graphics using Stata
6. Statistical Tests using Stata
   • One Sample T Test, Independent Samples T Test, Paired Samples T Test, One-Way ANOVA
   • Chi-Square test, Pearson’s Correlation, Spearman’s Rank-Order Correlation
7. Predictive Models using Stata
   • Linear Regression, Multiple Regression, Logistic Regression, Ordinal Regression
8. Longitudinal Analysis using Stata
   • Features and exploration of longitudinal data
   • Longitudinal analysis for continuous outcomes
9. Qualitative Data Analysis using NVivo
   • Introduction to NVivo
   • Uploading qualitative data, coding, making nodes, and utilizing queries
10. Survey Report Writing and Dissemination
    • Survey report format and content
    • Dissemination of survey findings for decision-making

Training Approach:

This course employs a blend of practical activities, theoretical concepts, group work, and case studies. Seasoned trainers with extensive expertise in the relevant fields deliver the training, supported by training manuals and additional reference materials provided to participants.

Certification:

Upon successful completion of the course, participants will receive a certificate.

Tailor-Made Course:

Customized courses to meet organizational needs are available. A training needs assessment is conducted to identify existing skills, knowledge gaps, expectations, and tailor-made requirements for participants.