Statistics
for non-statisticians training workshop (Day and evening programme)
for non-statisticians training workshop (Day and evening programme)
Training
dates: 30th – 31st August 2017
dates: 30th – 31st August 2017
Location: Kigali (Grand
legacy)
legacy)
Fees: Rwf 150,000
Award: Completion
certificate
certificate
Course
description
description
This
course is designed for non-statisticians and has relevance to data users
especially in the project management domain. It is intended to equip project
managers, research users, policy makers, monitoring and evaluation
professionals with ability to understand, interpret and question the validity
of the reports done by consultants. It is important for end users to understand
key assumptions that underpin statistical methods before deciding which
approach to endorse.
course is designed for non-statisticians and has relevance to data users
especially in the project management domain. It is intended to equip project
managers, research users, policy makers, monitoring and evaluation
professionals with ability to understand, interpret and question the validity
of the reports done by consultants. It is important for end users to understand
key assumptions that underpin statistical methods before deciding which
approach to endorse.
The
course is a precursor data analysis using software (SPSS & Stata). Research
Hub strongly encourages participants to enroll for this course before applying
for data analysis. A discount of Rwf 50,000 applies to applicants who enroll
for both courses.
course is a precursor data analysis using software (SPSS & Stata). Research
Hub strongly encourages participants to enroll for this course before applying
for data analysis. A discount of Rwf 50,000 applies to applicants who enroll
for both courses.
Learning
objectives
objectives
Participants
who have gone through this course are able to;
who have gone through this course are able to;
- Articulate
key relevant concepts as used in quanitative research - Determine
sample size for a descriptive research designs - Identify
the appropriate sample statistical designs for a study - Understand
what it takes to generalize findings - Interpret
statistical reports - Have
relevant understanding of counterfactual evaluation designs - Tell
when to use what statistical test
Who
should attend
should attend
- Monitoring
evaluation experts, project managers and all professional who supervise
work done by researchers - Report
writers and communication experts tasked to communicate research findings - Clinical
Project Leaders who will be redesigning and evaluating studies
Course
content;
content;
Day
One
One
- Introduction
to statistical concepts - Statistical
symbols - Descriptive
versus inferential studies - Definition
and types of survey bias - Definition
and types of sampling techniques (practical) - Extrapolation
and generalization of research findings to the wider population - Types
of data (categorical, continuous ordinal scale) - Statistical
tests
Day
2:
2:
Evaluation
design
design
- Evaluation
design concepts (treatment, control dependent &independent variable
etc.)
- Randomized
control trial (RCT) - Quasi
experiments - Propensity
score matching - Cross
section studies
Analysis
- Analysis
of variance (ANOVA) - Frequency
- Correlation
coefficient - Regression
analysis - Assumptions
of underpinning inferential analyses - Data
interpretation - Limitation
of quantitative data
Day
two
two
- Analysis
of variance (ANOVA) - Frequency
- Correlation
coefficient - Regression
analysis - Assumptions
of underpinning inferential analyses - Data
interpretation - Limitation
of quantitative data
Duration
(2 day programme and 3 days evening)
(2 day programme and 3 days evening)
Application
process
process
Interested
applicants are encouraged to send filled application form (see attachment) and
their latest CVs to info@researchub.co.rw
not later than 25th August 2017
applicants are encouraged to send filled application form (see attachment) and
their latest CVs to info@researchub.co.rw
not later than 25th August 2017
NB: A discount of RWF
50,000 shall be extended to candidates who enrol for this course and data
analysis course.
50,000 shall be extended to candidates who enrol for this course and data
analysis course.
