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Practical Introduction to Logistic Regression

INTRODUCTION

Stata/SPSS are software tools that are complete and integrated for data management, statistical analysis and graphics.  The course is suitable for researchers and other professionals who would like to strengthen their capacity in regression analysis.  The training will enhance the knowledge and skills of the participants to analyse data in a fast, accurate and easier manner by using both Stata and SPSS software and will know how to interpret and present the results.

WHO SHOULD ATTEND

The training is designed for participants who intend to learn the use of Stata and SPSS software for data management, graph generation and regression analysis. The course is very suitable for those working in the corporate world, public sector, research institution and NGOs.

DURATION

5 Days

LEARNING OBJECTIVES

  • Understand and appropriately use statistical terms and concepts

  • Perform data analysis tasks with Stata and SPSS

  • Perform simple to complex data management tasks using Stata and SPSS software

  • Perform regression analysis modelling using Stata and SPSS

  • Report and communicate/disseminate results from analysis

TOPICS TO BE COVERED

Module 1:

Introduction to Statistical Analysis

  • Basic steps of the research process

  • Populations and samples in research

  • Research designs

  • Types of variables

Introduction to Stata/SPSS

  • Datasets

  • Introduction to commands/syntax

  • Working with variables

  • Basic analysis using statistical software

 Describing data

  • Introduction to Stata GUI

  • Running descriptive statistics.

  • Generating graphs

 Module 2:

Basic Statistical Tests

  • Test of mean differences

  • Test of association

  • Test of association

  • Test of influence

 Introduction to regression modeling

  • Linear Regression (simple and multiple Regression)

  • Why Linear Regression cannot be used to model binary responses

  • Difference between logistic regression and multiple regression

  • Logistic regression as a type of generalized linear model (GLM)

  • Assumptions of logistic regression

  • The method of maximum likelihood estimation

 Module 3:

Review of Logistic regression models

  • Binary logistic regression model

  • Ordered logistic regression

  • Multinomial logistic regression

 Logistic regression modeling using panel data

  • Exploration of panel data

  • Logistic regression with fixed effects model/LSDV

  • Random effects logistic regression

  • Choosing the appropriate model

 Module 4:

Time Series Analysis

  • Introduction to time series analysis

  • Plotting a time series

  • Seasonal differences

  • Auto correlations

  • Forecast models

  • Logistic regression for time-series data

 Module 5:

Reporting and Communication/dissemination of results

  • Communication and reporting

  • Communication and dissemination strategy

  • Impact Evaluation Reports

  • Contemporarily methods of disseminating

 

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

The instructor led trainings are 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 an Indepth Research Services (IRES) certificate.

TRAINING VENUE

The training is residential and will be held at IRES training Centre. 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..  

Mob: +254 715 077 817

Tel: 020 211 3814

TAILOR- MADE

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B.17th June 2019.

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.

1.     Participants may cancel attendance 14 days or more prior to the training commencement date.

2.     No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

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 Duration 5 Days
Event Date 24-06-2019
Event End Date 28-06-2019
Cut off date 17-06-2019
Individual Price(Kenyan) KES 69,000
Individual Price (International) EUR 790
Individual Price(International in Dollars) USD 920
Location Mombasa, Kenya
We are no longer accepting registration for this event
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