Statistics for non-statisticians training workshop (Day and evening programme)

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Average: 2 (2 votes)

Sector: 
Research

Research Hub is a Research and insights firm that specialises in data collection and analysis, market research, and monitoring and evaluation services. Our philosophy is anchored on the belief that the success of every project or idea is contingent on solid and credible information being available to decision makers. Whilst we know that managers can potentially tap into variety of data that exists out there in various forms, we know that dearth of time and analysis expertise can limit their ability to transform this data into useful information. Our packages are designed to provide cost effective solutions to organisations in the private, public and Not-for-profit sectors.

Statistics for non-statisticians training workshop (Day and evening programme)

Training dates: 30th – 31st August 2017

Location: Kigali (Grand legacy)

Fees:  Rwf 150,000

Award: Completion certificate

Course 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.  

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.

Learning objectives

Participants 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

  • 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;

Day 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:

Evaluation 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

  • 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)

Application 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

NB: A discount of RWF 50,000 shall be extended to candidates who enrol for this course and data analysis course.

How to apply: 

Job summary

This job has been viewed 1,455 times
Location:
Kigali
Rwanda
Sector:
Education level:
Bachelor
Desired experience:
Mid career (2+ years of experience)
Contrat type:
Other
Apply before:
25-08-2017
Number of positions:
1

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