Training Course on Research Design, Data Management, Analysis and Reporting

Sound research is key for the development of knowledge and is imperative for informed decision making. In order to conduct any research, it is important to embrace appropriate research design and methodology. This training course on Research Design, Data Management, Analysis and Reporting will help you develop competence in quantitative and qualitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis, interpretation and reporting. The participants will be exposed to use of software in research.

Training Course on Research Design, Data Management, Analysis and Reporting

Country
City
Dates
Kenya
Nairobi
Rwanda
Kigali
Uganda
Kampala
Kenya
Mombasa
South Sudan
Juba
South Africa
Pretoria
Ethiopia
Addis Ababa

Training Schedules per Continent

Africa    (7)Asia      (4)

America (5)Europe (3)

Target Participants

The training course on research design, data management, analysis and reporting is designed for participants who intend to learn how to plan, implement effective research studies including data management and analysis.

What you will learn:

By the end of this training the participants will learn to:

  • Understand and appropriately use statistical terms and concepts
  • Design and Implement universally acceptable research
  • Develop of functional research protocol
  • Design both quantitative and qualitative data collection tools
  • Perform data analysis tasks with Microsoft Excel, Stata, SPSS, R and NVivo
  • Conduct simple to complex data management tasks using software
  • Execute appropriate statistical tests using software
  • Write reports from survey data

Course Duration

5 Days

Course outline

Statistical/Recap to Statistics Concepts

Statistics concepts

  • Types of data  (qualitative and Quantitative data)
  • Data Analysis Techniques
  • Descriptive Statistics and Inferential Statistics
  • Common inferential statistics
  • The core functions of inferential statistics

Research Methodology

  • Research Methodology process.
  • Components of research methodology.

Research Design and Data Collection tools & techniques

Research Design

  • Definition of research design
  • Types of research designs
  • Benefits of various research design to a study
  • Selecting Appropriate research design (Informed by the scope of a project)
  • Potential errors in research and how to prevent them in research planning stage and control 
  • Exercise: Determination of Appropriate Research Design for a project.

Target Population, Sample Size, and Sampling techniques

  • Target population identification
  • Sample size determination
  • Different types of Sampling techniques, their advantages, and disadvantages and when to use each

Data Collection Techniques and tools for a survey

  • Definition of data collection techniques
  • Different techniques for data collection, they advantages, and disadvantages
  • Tools for data collection
  • Designing survey questionnaires (based on study objectives)
  • Pretesting research tools for Validity and Reliability

Mobile Based data Collection using ODK and GIS Mapping

  • Introduction to mobile phone data collection
  • Common mobile based data collection platforms
  • Advantages and challenges of Mobile Applications
  • Challenges 
  • Introduction to Open Data Kit ODK
  • Components of Open Data Kit (ODK)
  • Collecting data using ODK
  • GIS Mapping
  • Exercise: use of ODK for data collection exercises and GIS Mapping

Data Management and Analysis using statistical Software (Ms-Excel, Stata, SPSS, R and NVivo)

  • Introduction to the software
  • Data entry, management, and manipulation
  • Importing/ exporting datasets
  • Defining and labeling data and variables
  • Creating, transforming, recoding variables
  • Generating new variables
  • Creating New datasets, sorting and ordering, and modification
  • Quality checks of datasets: Identify duplicate observations
  • Merging and Appending data files

Graphic, tabulations and output management

  • Introduction to output Management using
  • Tabulating data
  • Basics of Graphing
  • Customizing Graphs
  • Exporting graphics and tabulations.

Analysis of survey data using inferential statistics  

  • Introduction/recap of inferential statistics
  • Statistical inference, their applications and underlying conditions for their use
  • Measures and tests of association
  • Tests of difference
  • Hypothesis testing  and inference
  • Correlation analysis
  • Students T test

Regression analysis and making Inferences:

  • Types of regression analysis model and their application.
  • Generating regression models
  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Ordinal Regression

Qualitative Data Analysis using NVivo

  • Introduction to NVivo
  • NVivo workspace
  • Uploading qualitative data into NVivo
  • Coding and making nodes
  • Use of queries
  • Project visualization

Report writing for survey findings, Dissemination and Use

  • Writing strategies for simple and advanced levels survey reports
  • Report structures
  • Considerations before writing the report
  • Writing a survey report
  • Appropriate language use
  • Making conclusions and recommendations
  • Communication and dissemination
  • Decision making based on findings report

Training Approach for Research Design, Data Management, Analysis and Reporting Course

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Certification on Research Design, Data Management, Analysis and Reporting

Upon successful completion of this course, participants will be issued with an internationally recognized certificate. Altum Training and Research Institute is NITA certified. Read more.

Tailor-Made Training Course on Research Design, Data Management, Analysis and Reporting

We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more info@altumtrainings.com

Payment

The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.

Payment should be sent to our bank account before start of training and proof of payment sent to info@altumtrainings.com

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