International Training on Research Design & Methodology, Data management, Analysis, Inferences and Reporting Course
THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN:
This is a general training targeting participants from Social, Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who wish to be conversant with the concepts of Statistics, Research Design & Methodology, Data collection using ODK, use of GIS for mapping, Data Management, Analysis using MS-Excel, Stata/SPSS/SAS/R Softwares and Inferences and Reporting. No prior knowledge is required.
Introduction
All researchers are based on some underlying philosophical assumptions about what constitutes valid research and which research design and methodology method(s) is/are appropriate for the development of knowledge in a given research. In order to conduct and evaluate any research, it is therefore important to come up and embrace appropriate Research Design & Methodology, Data Management, Analysis, Inferences and Reporting standards for decision making. Without appropriate research design and methodology, the entire process is distorted interfering with the integrity of data collect leading to an inaccurate and inappropriate analysis of research findings. Improper statistical analyses distort scientific findings, mislead casual readers, and may negatively influence the public perception of research. These training aims introduce and enhance the participants’ knowledge of research design & methodology, data management, analysis, inferences and reporting of research findings. The participants will be exposed to Mobile Based Data collection using ODK, use of Ms-Excel and Statistical analysis software of interest (Stata/SPSS/R).
Duration
10 Days
WHO SHOULD ATTEND?
This is a general training targeting participants from Social, Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who wish to be conversant with the concepts of Statistics, Research Design & Methodology, Data collection using ODK, use of GIS for mapping, Data Management, Analysis using MS-Excel, Stata/SPSS/SAS/R Softwares and Inferences and Reporting. No prior knowledge is required.
Course Objective:
The training is aimed at introducing and equipping participants with skills in;
- Planning for selecting appropriate research design
- Prevention of potential errors in research planning stage and control
- Sample Size Determination and use of sampling techniques
- Designing survey tools (e.g. Questionnaires) and use om mobile based data collection techniques (ODK)
- GIS Mapping
- Data Management and Analysis using Ms-Excel
- Data Entry, Management, and Manipulation using Stata/SPSS/SAS/R
- Importing/ exporting datasets
- Quality checks of datasets
- Generating tables and graphs and creating a syntax for the output (Stata/SPSS/SAS/R)
- Analysis of Survey data using inferential statistics using Stata/SPSS/SAS/R and making Inferences
- Report writing
Training Content:
Module 1: Statistical/Recap to Statistics Concepts
Module 2: Research Design and Data Collection tools & techniques
Module 3: Mobile Based data Collection using ODK and GIS Mapping
Module 4: Data Management and Analysis using Ms-Excel
Module 5: Data Management and Analysis using statistical Softwares: (Stata/ SPSS/R)
- Stata/ SPSS/SAS/R
Module 6: Data Entry, Management, and Manipulation using Stata/SPSS/SAS/R
Module 7: Graphic, tabulations and output management using Stata/SPSS/SAS/R
Module 8: Analysis of Survey data using inferential statistics using Stata/SPSS/SAS/R and making Inferences
Module 9: Regression analysis using Stata/SPSS/SAS/R and making Inferences
Module 10: Report writing for survey findings, Dissemination and Use
Closure
Methodology
This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Accreditation
Upon successful completion of this training, participants will be issued with a certificate of participation.
Training Venue
The training is residential and will be held at the Livecode Training Centre in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
Accommodation
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Mobile Number: +254 725 771 853
Training Fees
The course fees is KES 135,000.00 or USD 1900.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.
Payment
Payment should be transferred to Livecode Technologies account through bank on or before the course starting date.
Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.
Cancellation Policy
Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
Tailor- Made
This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, call our team on
Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
Event Properties
Event Date | 04-12-2021 8:00 am |
Event End Date | 04-23-2021 5:00 pm |
Registered | 0 |
Cut off date | 04-08-2021 |
Individual Price | USD 1,900 |
Location | Nairobi, Kenya |