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


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      November 2, 2020

      Monday   8:00 AM - 4:00 PM

      P O BOX 10549-00400
      Nairobi, Nairobi Municipality 00400

      Performers:
      • No Performers Listed
      EVENT DETAILS
      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

      Sampling Techniques
      Probability
      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.

      Certification
      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: training@devimpactinstitute.com

      Cost: Payment required - 1200.00

      Categories: Education

      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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