Indepthresearch
outreach@indepthresearch.org
  + 254 20 211 3814 | +254 731 240 802
   +254 735 331 020 | +254 715 077 817
Westlands, Rhapta Road
Njema Court, Suite R2
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Research Design, Data Management, Analyses & Use Course

INTRODUCTION

New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.

It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts.

How can organizations better manage the process of converting the potential of data science to real development outcomes?  How can organizations go beyond merely generating new insights to changing behaviors — not only of their employees, but beneficiary and communities too?

This ten days hands-on course is tailored to put all these important consideration into perspective.
It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost effective data and reports that are useful and friendly for decision making.

DURATION

10 days

WHO SHOULD ATTEND?

This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. No Prior attendance of a Stata/SPSS/R course is required. The training is designed for participants who are reasonably proficient in English.

LEARNING OBJECTIVES

  • Understand and appropriately use statistical terms and concepts
  • Design and Implement universally acceptable Surveys
  • Convert data into various formats using appropriate software
  • Perform simple to complex data manipulation using Ms Excel
  • Perform basic data analysis tasks with SPSS/Stata/R
  • Perform simple to complex data management tasks using SPSS/Stata/R
  • Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS/Stata or R as the participant choose
  • Use mobile data gathering tools such as Open Data Kit (ODK)
  • Use GIS software to plot and display data on basic maps
  • Use Google Doc and Google maps to collaborate and sharing information
  • Write reports from survey data
  • Put strategies to improve data demand and use in decision making

TOPICS COVERED

Day 1: Basic statistical terms and concepts

Introduction to statistical concepts and GIS for Researchers

  • Basic Descriptive Statistics
  • Inferential statistics
  • Introduction to GIS for Researchers

Sources of Data for Social Statistics

  • Population and housing Censuses
  • Sample enumeration in censuses
  • Household sample Surveys
  • Assessments
  • Administrative records
  • Other sources

Research Design

  • The role and purpose of research design
  • Types of research designs
  • The research process
  • Which method to choose?
  • Exercise: Identify a project of choice and developing a research design

Day 2: Survey Planning, Implementation and Completion

  • Types of surveys
  • The survey process
  • Survey design
  • Methods of survey sampling
  • Determining the Sample size
  • Planning a survey
  • Conducting the survey
  • After the survey
  • Exercise: Planning for a survey based on the research design selected

Day 3: Concepts and Software for Data Processing, management and GIS mapping

  • Data collections methods(Web, SMS, Mobile, Email, Social Media)
  • Use of Mobile Phones for Data Collection and Processing (ODK)
  • GIS mapping for Survey data
  • Exercise: Project continuation: Preparing and using a data entry application for the mobile to the survey.

Day 4: Introduction to Data management and analysis using statistical software

Exploring survey data

  • Basic exploratory data analysis procedures
  • Basic data quality checks
  • Introduction to Excel for Data processing and Analysis
  • Data Auditing and Validation using Excel
  • Limitations of Excel

Tabulating and graphing survey data

  • Tabulation and analysis planning
  • File structure and datasets for tabulation and analysis
  • Tabulations and Graphics using Excel
  • Exercise: Project continuation; Preparing tables and graphics from the survey data

Day 5: Quantitative Data Analysis using SPSS/Stata/R

Introducing Advanced Statistical software

  • Comparison of Data analysis packages
  • Overview of SPSS
  • Overview of Stata
  • Overview of R
  • Introduction to stat transfer for converting data into other formats
  • Exercise: Project continuation; Importing survey data into formats suitable for the reviewed software

Day 6: Data Management (SPSS/Stata/R)

  • Import, Export, load and save datasets
  • Create new datasets
  • Review and document the dataset
  • Sorting and ordering
  • Appending, merging and reorganizing datasets
  • Validate data structure
  • Identify duplicate observations
  • Exercise: Data management for the survey data

Day 7: Graphics (SPSS/Stata/R)

  • Tabulating Survey data
  • Basics of graphing
  • Graphing quantitative
  • Graphing qualitative data
  • Advanced graphing
  • Exercise: Preparing suitable charts and graphs for the survey

Day 8: Advanced Data Analysis Part II (SPSS/Stata/R)

Statistical Inference

  • Tests of Association
  • Tests of Difference
  • Hypothesis testing
  • Exercise: Project continuation; performing suitable inferential test and drawing inferences

Day 9: Advanced Data Analysis Part II (SPSS/Stata/R)

Regression analysis

  • Linear Regression
  • Binary regression
  • Logistic Regression
  • GLM Model
  • The Problems with regression
  • Exercise: Modeling the survey data

Introduction to panel data analysis

  • Advantages of panel data analysis
  • Panel data sets
  • Balanced and unbalanced panels
  • Panel data dimensions and frequencies
  • Properties of estimators
  • Graphing panel data

Day 10: Report writing for surveys, data dissemination, demand and use

  • Writing a report from survey data
  • Communication and dissemination strategy
  • Context of Decision Making
  • Improving data use in decision making
  • Culture Change and Change Management
  • Exercise: Preparing a report for the survey, a communication and dissemination plan and a demand and use strategy.
  • Presentations and joint action planning

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 Naivasha, 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.

Email:outreach@indepthresearch.org.  

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 mailoutreach@indepthresearch.org

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B.25th September 2017.

Send proof of payment to outreach@indepthresearch.org

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

Duration 10 Days
Event Date 02-10-2017
Event End Date 13-10-2017
Cut off date 25-09-2017
Individual Price (Kenyan) KES 150,000.00
Individual Price (International) EUR 2,024.00
Individual Price (International) USD 2,200.00
Location Naivasha, Kenya
We are no longer accepting registration for this event

Group Tariffs

Group Size Kenyan Rate Per day (KES) International Rate Per day (USD/EURO)
6-10 95,000.00 $ 1,118.00
€ 1,018.00
11-15 146,250.00 $ 1,721.00
€ 1,567.00
16-20 191,250.00 $ 2,250.00
€ 2,048.00
21-25 230,000.00 $ 2,706.00
€ 2,463.00
26-30 262,500.00 $ 3,089.00
€ 2,811.00
30-50 309,825.00 $ 4,556.00
€ 0.00
3-5 62,500.00 $ 736.00
€ 670.00
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© Indepth Research Services Ltd 2017