Data Analysis Results interpretation Presentation and Reporting Course

INTRODUCTION

Understanding the appropriate data analysis method, the right interpretation of results is critical in coming up with an evidenced based decision for development. Further, learning the basic recommendations involved in presenting of the results using texts, tables and graphs is essential because it makes it much easier to understand the data under analysis and to promote accurate communication of research outputs. Moreover, well presented research information in the form of texts, tables and graphs not only make research output article easy to understand but also attract and sustain the interest of readers, and ably present complex information.

WHO SHOULD APPLY?

Researchers, students, anyone who interested in enhancing his/ her data analysis skills

DURATION

5 days

COURSE OBJECTIVES

  • Understand fundamental statistical concepts
  • Learn data handling, cleaning and management techniques using the data analyzing software of choice
  • Analyze data by applying appropriate statistical techniques
  • Learn how to present results using tables, charts and graphs
  • Interpret the results
  • Learn various parts and contents of research outputs (Research reports, journal articles and policy briefs)

COURSE OUTLINE

Module 1: Introduction to statistical terms and concepts

  • Types of research
  • Research Process
  • Definition of various statistical concepts
  • Descriptive Statistics
  • Inferential statistics

Module 2: Types of Research Designs

  • Definition of research design
  • Types of qualitative research designs
  • Types of quantitative Research designs
  • Mixed method research designs

Module 3: Descriptive analysis

  • Frequencies and percentages
  • Measurers of central tendencies (Means, standard deviations, median, mode e.t.c)
  • Test statistics (Parametric and non-parametric tests)
  • Assumptions of parametric tests
  • Tests of independence
  • Tests for Goodness of fit
  • Test for associations

Module 4: Regression analysis

  • Factors to consider while choosing the appropriate regression models
  • Assumptions of simple linear regressions
  • How to run Diagnostic tests (Multicollinearity, heteroscedasticity, linearity, autocorrelation etc)
  • Simple and multiple linear regressions
  • Logistic regressions (Logit and probit models)
  • Generalized linear model  regression (Poisson regression)
  • Censored regression model and truncated regression models (Tobit models)
  • Models to control for sample selection bias (Heckman two stage models

Module 5: Presentation of results from descriptive analysis and regression models

  • Techniques of data and information presentation in textual, tabular, and graphical forms
  • Criteria of determining the Methods of presenting results
  • Ext presentation
  • Table presentation
  • Graphs presentation
  • Interpretation of descriptive analysis and regression models results
  • Discussing of the results of descriptive analysis and regression models results
  • Understanding the outline and content of various research outputs (reports, journal articles and policy brief e.t.c)
  • Exercise: drafting of a research output of choice (Journal article, report or policy brief etc)

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 Livecode Technologies certificate.

Training Venue

The training is residential and will be held at the Livecode Technologies Training Center 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.

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Mobile Number: +254 725 771 853

Training Fees

The course fees is KES 67,000.00 or USD 980.00 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 commences.

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, contact our team on:

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile Number: +254 725 771 853

Event Properties

Event Date 02-06-2023 8:00 am
Event End Date 02-10-2023 5:00 pm
Registered 0
Cut off date 02-02-2023
Individual Price USD 900
Location Nairobi, Kenya
We are no longer accepting registration for this event
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Contact Us

Kenya | Uganda | Tanzania | Rwanda | Malawi.

Nairobi Office: GTC Building Complex, 2nd floor

P.O BOX 21567-00100

Official: info@livecodetech.co.ke

Westlands,    Nairobi, Kenya

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