Training Course on Quantitative Data Analysis using SPSS/& STATA and Qualitative Data Analysis using ATLAS.ti from 15th -18th March 2017
Introduction
SPSS and STATA are widely used program for statistical analysis by many NGOs. They are both powerful suite for data analysis, reporting and modeling software.SPSS and STATA software packages for people who need to analyze large amounts of quantitative data and is used as standard by a wide range of users who need to quickly and accurately carry out statistical analysis of that data such as market researchers, health researchers, survey companies, government, education researchers, marketing organizations and data miners.
Whereas ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio, and video data. It offers a variety of tools for accomplishing the tasks associated with any systematic approach to unstructured data, i. e., data that cannot be meaningfully analyzed by formal, statistical approaches. In the course of such a qualitative analysis, ATLAS.ti helps you to explore the complex phenomena hidden in your data. For coping with the inherent complexity of the tasks and the data, ATLAS.ti offers a powerful and intuitive environment that keeps you focused on the analyzed materials. It offers tools to manage, extract, compare, explore, and reassemble meaningful pieces from large amounts of data in creative, flexible, yet systematic ways.
Learning objectives for SPSS & STATA
i. Convert data into various formats using appropriate software
ii. Perform simple to complex data manipulation using Ms Excel
iii. Perform basic data analysis tasks with SPSS/Stata
i. Perform simple to complex data management tasks using SPSS/Stata
ii. Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS/Stata as the participant choose
Learning Objectives for Atlas.ti
i. Participants will learn about the methodological principles behind ATLAS.ti
ii. Participants will learn about the role of ATLAS.ti in the research process
iii. Participants will learn the fundamental functions and procedures of ATLAS.ti
iv. Participants will learn to use ATLAS.ti in data analysis following an approach emphasizing data integration, organization, and constant documentation of the process
Training Outline
Unit One - Statistical Software Packages for M&E
Session 1: Overview of statistical software packages
Session 2: Statistical software packages –
Session 3: Getting help in statistical software package
Session 4: Getting started with SPSS and STATA
Unit Two – Data Processing and Management Using SPSS & STATA
Session 1: Entering data in SPSS
Session 2: Data transformation
Session 3: Preparing data (Data Cleaning) for analysis
Unit Three– Basic Data Analysis Using SPSS & STATA (uni and bi-variate)
Session 1: Basics of data analysis
Session 2: Statistics in Data Analysis
Session 3: Initial data analysis
Unit Four – Advanced Data Analysis in SPSS & STATA (Multivariate)
Session 1: Advanced data analysis (Testing for Hypotheses)
Unit Five: Qualitative Data Analysis using ATLAS.ti
Session 1: Introduction to ATLAS.ti
Session 2: Setting up the HU: Creating the project
Session 3: Adding/importing and loading the project’s documents
Session 4: Organizing documents in groups/families.
Session 5: Data Segmentation and writing Reflections in the Form of Memos
Session 6: Coding
Session 7: Data Exploration, Analysis and Visualization
Session 8: Survey importation
Session 9: Teamwork (ATLAS.ti 7 Windows)
Methodology: Instructor led training will be delivered using presentations, guided sessions of practical exercise, and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. Facilitation and course materials will be offered in English
Training Fees: Ugandans: 450,000 UGX; International: 200 USD (Includes Break Tea + Lunch+Softwares)
Venue: Ntinda Ministers Village Hotel
Date: 15th-18th /March/2017
Duration: This is a 4 days training program
Limited slots: We only need 20 participants: Enrollment for this training is based on first come, first serve basis
Benefits
• Knowledge and Skills
• All participants will be given free software packages
• Networking
Payment details
Register and pay before 5th/March/2017
Those Paying in UGX can pay through
• Account Name: Maarifa Consult
• Bank: Stanbic Bank
• Account Number:9030010504731
• Branch: Ntinda, Branch
• Account Type: Uganda Shillings Account (UGX)
• You can deposit cash or write a Check in the Name of “MAARIFA CONSULT”
Those paying in USD can pay through
a) Account Name: Maarifa Consult Ltd
b) Bank:KCB Bank
c) Account Number:2203269251
d) Account Type: USD Account
e) Branch: Forest Mall, Kampala
f) You can deposit Cash or pay in Check in the name of “MAARIFA CONSULT LTD”
Note
• After Payment, please send a proof of payment to the email below
Application details
Interested individuals can apply through the website: www.maarifaconsult.com
Or send an email requesting for a registration form to: [email protected] or [email protected]