About the course
In the socio-economic and business context, conducting research, data management and data analysis are imperative for informed decision making. The availability of several datasets and research techniques open the gateway of conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge about the methodology of conducting research and use of SPSS as a research, data management and analysis tool is very beneficial for the researchers.
Upon completion, the participants will develop competence in quantitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis and interpretation of data.
The training is designed for participants who intend to learn the use of SPSS for data management and data analysis. Working in the corporate world, in the public sector, and in research institution, NGOs.
What you will learn
Introduction to research
Introduction to Survey Design
Survey Questionnaire Design
Mobile Data Collection and Processing (ODK)
Survey Data Processing
Introduction to SPSS statistical software
Basic Statistics using SPSS
Graphics using SPSS
Statistical Tests using SPSS
Statistical Associations in SPSS
Predictive Models using SPSS
Longitudinal Analysis using SPSS
Qualitative Data Analysis using NVivo
Survey Report writing and Dissemination
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Upon successful completion of this course, participants will be issued with a certificate.
The training will be conducted at Devimpact Institute Training Centre, Nairobi Kenya.
The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
|Event Date||March 19,2018, 8:00 am|
|Event End Date||March 30,2018, 4:30 pm|
|Cut off date||March 16,2018, 5:00 pm|