Course Overview
This comprehensive course provides participants with the necessary skills and knowledge to effectively design research studies, manage data, and perform statistical analysis using Stata. Participants will gain hands-on experience with Stata, one of the leading statistical software packages used in research across various disciplines. The course covers the entire research process, from formulating research questions and designing studies to managing data and conducting advanced statistical analyses.
Course Duration
10 Days
Who Should Attend
- Researchers and academics looking to enhance their data analysis skills
- Graduate students in social sciences, health sciences, economics, and related fields
- Data analysts and statisticians in public and private sectors
- Professionals involved in research projects who need to manage and analyze data effectively
Course Objectives
By the end of this course, participants will:
- Understand and appropriately use statistical terms and concepts
- Design and implement universally acceptable research
- Develop of functional research protocol
- Design both quantitative and qualitative data collection tools
- Perform data analysis tasks with Stata
- Perform simple to complex data management tasks using software
- Statistical tests using Stata software
- Writing reports from survey data
Course Outline:
Introduction to research
- Introduction to research
- Different types of research
- Formulation of research problem statement
- Formulation of research hypothesis
Overview of Evaluation
- Evaluation Objectives
- Evaluation Criteria
- Evaluation Questions
Research Design
- Quantitative Research Approaches
- Qualitative Research Approaches
Sampling
- Sampling Techniques
- Sample size determination
Data Collection Methods in Research
- Quantitative data collection methods
- Qualitative data collection
- Creating an evaluation framework
Data Collection tools in Research
- Survey Questionnaire design
- FGD guide design
- KII guide design
Developing Research Protocol
- What is a research protocol?
- Basic concepts of a research protocol
- Structure of a research protocol
Mobile Data Collection and Processing (ODK)
- Introduction to mobile data gathering
- Design of survey forms using ODK build and XLSForm
- Use ODK collect to gather data
- Use ODK aggregate to upload data to the server
- Work with spatial data (GPS coordinates)
Data Processing
- Data coding
- Data capture
- Data editing
- Data imputation
- Treatment of outliers
Introduction to Stata statistical software
- Stata interface and features
- Key terminologies used in Stata
- Views: Variable, Data views, Syntax editor
- Data file preparation
- Data entry into Stata
- Data manipulation: merge files, spit files, sorting files, missing values
Basic Statistics using Stata
- Descriptive statistics for numeric variables
- Frequency tables
- Distribution and relationship of variables
- Cross tabulations of categorical variables
- Stub and Banner Tables
Graphics using Stata
- Introduction to graphs in Stata
- Graph commands in Stata
- Different types of Graphs in Stata
Statistical Tests using Stata
- One Sample T Test
- Independent Samples T Test
- Paired Samples T Test
- One-Way ANOVA
Statistical Associations in Stata
- Chi-Square test
- Pearson’s Correlation
- Spearman’s Rank-Order Correlation
Predictive Models using Stata
- Linear Regression
- Multiple Regression
- Logistic Regression
- Ordinal Regression
Longitudinal Analysis using Stata
- Features of Longitudinal Data
- Exploring Longitudinal data
- Longitudinal analysis for continuous outcomes
Qualitative Data Analysis using NVivo
- Introduction to NVivo
- NVivo workspace
- Uploading qualitative data into NVivo
- Coding and making nodes
- Use of queries
- Project visualization
Survey Report writing and Dissemination
- Survey report format
- Survey report content
- Survey findings dissemination
- Use of survey findings for decision making
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
A certificate from Ideal Workplace Solutions is awarded upon successful completion.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.
For further inquiries, please contact us on details below:
