Course on Data Management, Graphics and Statistical analysis using SPSS

Who should attend?

• • Statisticians & Researchers
  • Planners & Monitors and Evaluators
  • NGOS & Government Ministries
  • Project Managers

Learning Objectives

• • The participant will learn to perform basic data analysis tasks with SPSS
  • The participant will learn to perform simple to complex data management tasks using SPSS
  • The participant will learn to correctly identify appropriate statistical test for basic analysis s and perform them using SPSS
  • The participant will learn to perform basic longitudinal, time series and econometric analysis
  • The participant will learn to convert data into various formats using appropriate software Understand and appropriately use statistical terms and concepts
  • The participant will learn to use statistical terms and concepts
  • The participant will learn to design computer aided data capture screens using CSPRO
  • The participant will learn how to use mobile phone data collection tool Open Data Kit (ODK) to collect survey data

  Course Content

  Introduction to SPSS

  • Opening file and file extensions
  • Mouse and keyboard processing,
  • Frequently –used dialog boxes
  • Editing output
  • Printing results
  • Creating and editing a data file

  Quantitative Analysis using SPSS

  • Introduction to estimation and hypothesis testing
  • One sample tests: t-test, sign and signed rank tests
  • Two-sample tests: t-test, Mann-Whitney test
  • Three or more samples
  • Correlation and simple linear regression

  Basic statistical terms and concepts

  • Basic data quality checks
  • Basic exploratory data analysis procedures
  • Basic Descriptive Statistics
  • The core functions of inferential statistics
  • Common inferential statistics

  Concepts and Software for Data Processing

  • Data Processing using Census and Surveys Processing Software (CsPro)
  • Use of Mobile Phones for Data Collection and Processing

  Data Entry, management and Manipulation

  • Enter categorical and continuous data
  • Define and label variables
  • Transform, recode and compute variables
  • Help files
  • Replacing missing values
  • Exploring data Selecting and sorting cases
  • Restructuring data
  • Merging files
  • Syntax and output

  Tabulations and Graphics

  • Creating and editing graphs and charts
  • Graphing Qualitative data
  • Graphing Quantitative data
  • Frequency Tables
  • Cross Tabulations
  • Stub and Banner Tables

  Advanced Statistical Analysis

  • Regression Analysis
  • Data Reduction Methods
  • Introduction to Longitudinal Analysis Using SPSS
  • Introduction to Time Series Analysis
  • Introduction to Econometric Analysis

     

  • For further inquiries, please contact us on 

  • Tel: +254 20 2000 957.

    Mob: +254 727 446 544.

    Email: info@ajtraining.co.za

    REQUIREMENTS AND TRAINING VENUE

    The training is residential and will be held at AJT Training Centre. Delegates should be reasonably proficient in English. Applicants must live up to Alexander James Training (AJT) admission criteria.

    ACCREDITATION

    Upon successful completion of this training, participants will be issued with an Alexander James Training (AJT) certificate.

  • CUSTOMIZED/TAILOR- MADE

    We will customize this training to fit your professional and institution expected outcome. You can have it delivered in our AJT Training Centre or at a convenient location.

    Kindly Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and delivery methodology