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      Training on Research Design, Data Management and Statistical Analysis using SPSS in Nairobi

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      June 1, 2020

      Monday   8:00 AM - 4:30 PM

      Muthithi Road
      Nairobi, Nairobi Municipality

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      Training on Research Design, Data Management and Statistical Analysis using SPSS

      About the course

      In the socio-economic and business context, conducting research, data management and data analysis are imperative for informed decision making. The availability of several datasets and research techniques open the gateway of conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge about the methodology of conducting research and use of SPSS as a research, data management and analysis tool is very beneficial for the researchers.

      Upon completion, the participants will develop competence in quantitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis and interpretation of data.
      Target Participants

      The training is designed for participants who intend to learn how to plan, implement effective research studies including data management analysis. Those who are working in the private sector, government institutions, research institutions and NGOs.
      Course duration

      10 days
      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 SPSS
      Perform simple to complex data management tasks using software
      Statistical tests using SPSS software
      Writing reports from survey data

      Course outline

      Introduction to research

      Introduction to research
      Different types of research
      Formulation of research problem statement
      Formulation of research hypothesis

      Overview of Evaluation

      Evaluation Objectives
      Evaluation Criteria
      Evaluation Questions

      Research Design

      Quantitative Research Approaches
      Qualitative Research Approaches


      Sampling Techniques

      o Probability

      o Non-probability

      Sample size determination

      Data Collection Methods in Research

      Quantitative data collection methods
      Qualitative data collection
      Creating an evaluation framework

      Data Collection tools in Research

      Survey Questionnaire design
      FGD guide design
      KII guide design

      Developing Research Protocol

      What is a research protocol?
      Basic concepts of a research protocol
      Structure of a research protocol

      Mobile Data Collection and Processing (ODK)

      Introduction to mobile data gathering
      Design of survey forms using ODK build and XLSForm
      Use ODK collect to gather data
      Use ODK aggregate to upload data to the server
      Work with spatial data (GPS coordinates)

      Introduction to SPSS statistical software

      SPSS interface and features
      Key terminologies used in SPSS
      Views: Variable, Data views, Syntax editor
      Data file preparation
      Data entry into SPSS
      Data manipulation: merge files, spit files, sorting files, missing values

      Basic Statistics using SPSS

      Descriptive statistics for numeric variables
      Frequency tables
      Distribution and relationship of variables
      Cross tabulations of categorical variables
      Stub and Banner Tables

      Graphics using SPSS

      Introduction to graphs in SPSS
      Graph commands in SPSS
      Different types of Graphs in SPSS

      Statistical Tests using SPSS

      One Sample T Test
      Independent Samples T Test
      Paired Samples T Test
      One-Way ANOVA

      Statistical Associations in SPSS

      Chi-Square test
      Pearson's Correlation
      Spearman's Rank-Order Correlation

      Predictive Models using SPSS

      Linear Regression
      Multiple Regression
      Logistic Regression
      Ordinal Regression

      Longitudinal Analysis using SPSS

      Features of Longitudinal Data
      Exploring Longitudinal data
      Longitudinal analysis for continuous outcomes

      Qualitative Data Analysis using NVivo

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

      Survey Report writing and Dissemination

      Survey report format
      Survey report content
      Survey findings dissemination
      Use of survey findings for decision making

      Training Approach

      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.

      Upon successful completion of this course, participants will be issued with a certificate.
      Tailor-Made Course

      We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more:

      Cost: Kenyan Cost (KES)160,000 Non Kenyan Cost ($)1,900

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      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.

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