Friday, 2 November 2018

Mobile Phone Based Data Collection Using ODK in Kigali 30th Jan-1st Feb


Data collection and monitoring and evaluation (M&E) have always been integral parts of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs.

Information and communication technology (ICT) tools, including hardware like mobile phones and tablets, applications with the capacity to create digital surveys, and software that allows users to upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E.

ODK is an online tool that enables humanitarian staff to quickly build digital surveys. Data is collected through computers or mobile phones, and stored online. The platform is very flexible and enables you to build surveys in a number of ways, such as with cascading questions, multiple choice, or free text.

Course Overview

Training and Implementation Requirements

·         A computer (to build the form)
·         Smartphones, tablets or computers (to collect the data)
·         Internet access (it does not need to be consistent)

Training Checklist

·         The team should come up with mock questions that will be used in the survey: The training will follow a real case scenario of building a survey from scratch
Topics:
1.      Basic Concepts and Principles
    1. Introduction of ICT based M&E
    2. Benefits of Mobile Applications for Monitoring and Evaluation
    3. Data and types of data
    4. Challenges of data collection
    5. Mobile Data collection and the M&E work plan
    6. Considerations for Integrating Mobile Data Gathering Tools into M&E Project
    7. Hardware and application selection
2.      Mobile Data Gathering Tools for M&E
    1. Discussion on the choice of platform
    2. Design forms using a web interface
    3. Form Creation tools
3.      Survey Design using XLS Forms
    1. Introduction to XLS forms
4.      Basic Survey Authoring
    1. New Data Types
    2. Notes and Dates
    3. Multiple Choice Questions
5.      Intermediate Survey Authoring
    1. Multiple Language Support
    2. Hints and Metadata
    3. Conditional survey constructs
    4. Required questions
    5. Constraining Responses
    6. Asking Relevant Questions
    7. The Specify Other Shortcut
6.      Data collection
I). Form development and deployment
    1. Planning data entry form
    2. Overview of using ODK for form data collection
    3. Developing data collection forms
    4. Deploying a data collection forms
    5. Setting up an Android Phone for data collection
    6. Data Entry using ODK Collect
    7. Aggregating data
    8. Visualizing data in maps
    9. Exporting data for analysis
j.        Qualitative data entry
k.       Quantative data entry
l.        Collecting Rich data, Photos, audio and videos
m.    Form-Project transition
n.      Online VS Offline data collection
7.      Data Analyses
o.      The Excel Analyser
p.      Response mapping
q.      The quickfix data view
r.       Response disintegration and graphing
8.      Mapping
s.       Creating GPS Points
t.        Map processing
9.      Result export and consumption of findings
10.  Core excel data analysis tools
a.      Pivot tables frequency tables and crosstabs
b.      Introduction to Excel Formulas
11.  Data sets and Terminology
12.  Cross sectional and time series data
13.  Graphing and charting
14.  Scales of measurement
15.  Descriptive statistics
16.  Inferential statistics
17.  T tests and Analysis of variance
18.  Regression analysis
19.                        Event Details

The 3 day course costs 350$ (305,000 FRW), Exclusive of a 18% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.
Event Details
Event Date
30-01-2019 8:30 am
Event End Date
01-02-2019 4:00 pm
Cut off date
19-01-2019
Individual Price
350$ Per Delegate
Location
OpenCastLabs Training Facilities, Kigali Rwanda

How to register:
To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.

Contact Details:
Rwanda:
P.O Box 4543 Kigali
3rd Floor La Bonne Address House
Avenue de la Revolution
Tel:  Kigali +250 788 470 532



The T
raining Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100
, Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email :
outreach@opencastlabs-africa.com
Language
Participants should be reasonably proficient in English.  
Fee Exceptions
All international participants will cater for their, travel expenses, visa application, insurance, accommodation and other personal expenses.
Accommodation
Accommodation is arranged upon request. For reservations contact us below.
Payment:
Payment should be transferred through bank 5 days before commencement of training.
Cancellation policy
  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.
  • The appropriate cancellation charge will apply

Qualitative Data Analysis with NVIVO in Kigali 30th Jan-1st Feb


Qualitative data analysis involves the identification, examination, and interpretation of patterns and themes in textual data and determines how these patterns and themes help answer the research questions at hand. Qualitative analysis is Not guided by universal rules and is thus a very fluid process that is highly dependent on the evaluator and the context of the study.
Qualitative researchers now have the option to apply technology tools in their approach for data management and data analysis to ease the complexity of the research process.
This course aims to build the capacity of qualitative researchers in qualitative data management and analysis using NVIVO qualitative software. This software has many features that can assist to simplify the whole process of doing qualitative research
Target Participants
This is a general course targeting participants wishing to analyze the bag of words that is qualitative data. Cross sector professionals who wish to be conversant with the concepts and applications of NVivo Software to analyze qualitative data will benefit from this course. No prior Knowledge is required to follow this course.
Course duration
3 Days
The course objectives
By the end of the course the learner should be able to:
  • NVIVO Setup and installation
  • Managing imports, codes and nodes
  • Enhancing collaborative analysis
  • Draw evidence based recommendations from qualitative data
  • Create a framework for qualitative data analysis using NVIVO
  • Carry out qualitative data analysis using NVIVO
  • Processing reports from analysis reports
Course content
Understanding Qualitative Research
  • Qualitative Data
  • Types of Qualitative Data
  • Sources of Qualitative data
  • Qualitative vs Quantitative
  • NVivo key terms
  • The NVivo Workspace
Preliminaries of Qualitative data Analysis
  • What is qualitative data analysis
  • Approaches in Qualitative data analysis; deductive and inductive approach
  • Points of focus in analysis of text data
  • Principles of Qualitative data analysis
  • Process of Qualitative data analysis
Introduction to NVIVO
  • NVIVO Key terms
  • NVIVO interface
  • NVIVO workspace
  • Use of NVIVO ribbons
NVIVO Projects
  • Creating new projects
  • Creating a new project
  • Opening and Saving project
  • Working with Qualitative data files
  • Importing Documents
  • Merging and exporting projects
  • Managing projects
  • Working with different data sources
Nodes in NVIVO
  • Theme codes
  • Case nodes
  • Relationships nodes
  • Node matrices
  • Type of Nodes,
  • Creating nodes
  • Browsing Nodes
  • Creating Memos
  • Memos, annotations and links
  • Creating a linked memo
Classes and summaries
  • Source classifications
  • Case classifications
  • Node classifications
  • Creating Attributes within NVivo
  • Importing Attributes from a Spreadsheet
  • Getting Results; Coding Query and Matrix Query
Coding
  • Data-driven vs theory-driven coding
  • Analytic coding
  • Descriptive coding
  • Thematic coding
  • Tree coding
Thematic Analytics in NVIVO
  • Organize, store and retrieve data
  • Cluster sources based on the words they contain
  • Text searches and word counts through word frequency queries.
  • Examine themes and structure in your content
Queries using NVIVO
  • Queries for textual analysis
  • Queries for exploring coding
Building on the Analysis
  • Content Analysis; Descriptive, interpretative
  • Narrative Analysis
  • Discourse Analysis
  • Grounded Theory
Qualitative Analysis Results Interpretation
  • Comparing analysis results with research questions
  • Summarizing finding under major categories
  • Drawing conclusions and lessons learned
Visualizing NVIVO project
  • Display data in charts
  • Creating models and graphs to visualize connections
  • Tree maps and cluster analysis diagrams
  • Display your data in charts
  • Create models and graphs to visualize connections
  • Create reports and extracts
Triangulating results and Sources
  • Triangulating with quantitative data
  • Using different participatory techniques to measure the same indicator
  • Comparing analysis from different data sources
  • Checking the consistency on respondent on similar topic
Report Writing
  • Qualitative report format
  • Reporting qualitative research
  • Reporting content
  • Interpretation
The 3 day course costs 350$ (305,000 FRW), Exclusive of a 18% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.
Event Details
Event Date
30-01-2019 8:30 am
Event End Date
01-02-2019 4:00 pm
Cut off date
19-01-2019
Individual Price
350$ Per Delegate
Location
OpenCastLabs Training Facilities, Kigali Rwanda

How to register:
To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.


Contact Details:
Rwanda:
P.O Box 4543 Kigali
3rd Floor La Bonne Address House
Avenue de la Revolution
Tel:  Kigali +250 788 470 532

The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100
, Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email :
outreach@opencastlabs-africa.com
Language
Participants should be reasonably proficient in English.  
Fee Exceptions
All international participants will cater for their, travel expenses, visa application, insurance, accommodation and other personal expenses.
Accommodation
Accommodation is arranged upon request. For reservations contact us below.
Payment:
Payment should be transferred through bank 5 days before commencement of training.
Cancellation policy
  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.
  • The appropriate cancellation charge will apply

Data Analysis with SPSS in Kigali 30th Jan-1st Feb


In this course we take you through practical sessions of data analysis in SPSS from the basics. We adopt a non-mathematical approach by taking a real life business, research, government and academic organizational perspective. We will dwell in the importation of data from excel, creation of descriptive charts, modifying and selecting cases, calculating descriptive and inferential statistics. We will also tackle modeling of associations with correlations, contingency tables and multiple regressions. We will also learn how to format our output and export tables and charts.

Course overview

Introduction
  • ·         Familiarizing with the SPSS interface
  • ·         Importing data from excel

Creating charts for one variable
  • ·         Creating bar charts for categorical variables
  • ·         Creating boxplots for quantitive variables
  • ·         Creating an histogram for quantitive variables

Data modification
  • ·         How to recode variables
  • ·         How to recode variables with visual binning
  • ·         How to recode by rank case
  • ·         Computing new variables
  • ·         Combining and exclusion of outliers
  • ·         How to transform outliers

The data file
  • ·         Case selection
  • ·         The splitfile command
  • ·         How to merge files
  • ·         The multiple response command

Descriptive statistics for one variable
  • ·         Working with frequencies
  • ·         Working with descriptives
  • ·         The explore command

Inferential statistics for one variable
  • ·         Inferential statistics for a single propotion
  • ·         Inferentials for a single mean
  • ·         Inferentials for a single categorical variable

Charts for two variables
  • ·         Clustered bar charts
  • ·         Scatterplots
  • ·         Time series charts
  • ·         Bar charts for group means
  • ·         Population pyramids
  • ·         Boxplots for groups
  • ·         Side-by-side boxplots

Descriptive and inferential statistics for two variables
  • ·         Calculating correlations
  • ·         Bivariate regression
  • ·         Crosstabs for categorical variables
  • ·         Comparing means with the means procedure
  • ·         Mean comparison with t test
  • ·         Mean comparison with one way ANOVA
  • ·         Comparing paired means

Charts for three or more variables
  • ·         Clustered bar charts for frequencies
  • ·         Scatterplots by group
  • ·         3-D scatterplots
  • ·         Scatterplot matrices

Descriptives for three or more variables
  • ·         Automatic linear models
  • ·         Multiple regression
  • ·         Comparing means with two-factor ANOVA

Formatting and Exporting tables and charts
  • ·         Formatting descriptive statistics
  • ·         Formatting correlations
  • ·         Formatting regression
  • ·         Exporting charts and tables

The 3 day course costs 350$ (305,000 KES), Exclusive of a 18% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.
Event Details
Event Date
30-01-2019 8:30 am
Event End Date
01-02-2019 4:00 pm
Cut off date
26-01-2019
Individual Price
350$ Per Delegate
Location
OpenCastLabs Training Facilities, Kigali Rwanda

How to register:
To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.

Contact Details:
Rwanda:
P.O Box 4543 Kigali
3rd Floor La Bonne Address House
Avenue de la Revolution
Tel:  Kigali +250 788 470 532

The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100
, Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email :
outreach@opencastlabs-africa.com
Language
Participants should be reasonably proficient in English.  
Fee Exceptions
All international participants will cater for their, travel expenses, visa application, insurance, accommodation and other personal expenses.
Accommodation
Accommodation is arranged upon request. For reservations contact us below.
Payment:
Payment should be transferred through bank 5 days before commencement of training.
Cancellation policy
  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.
  • The appropriate cancellation charge will apply