Data management, Tabulations & Graphics, Statistical Analysis and Inferences using SPSS Training On 20th March 2017, Nairobi Kenya

INTRODUCTION
Research, Data management, Graphics & statistical analysis has always been integral parts of development work, and has been playing critical role towards achieving of Sustainable development Goals (SDGs). As a result, knowledge on research methodologies and application of statistical application softwares to support data analysis in this era is very important. Statistical packages for Social Sciences (SPSS) is a very has be proved quite useful for the purpose of data management, graphical representation, and statistical analysis of data. SPSS application is user friendly, reduces the time and efforts of the researcher employed in the process research. This course aims at equipping participants with knowledge and vast skills which will enable them to use SPSS in Data management, Graphics & statistical analysis

WHO SHOULD ATTEND?

This is a general training is targeting professionals undertaking research and surveys, health researchers, market researchers, survey companies, education researchers, government, marketing and individuals who wish to be conversant SPSS. You also need no prior SPSS experience.

DURATION
5 days

COURSE OBJECTIVES

  • The training will enable participants to;
  • Understand how to creating and edit a data file
  • Enter categorical and continuous data
  • Define, label, validate and Sort variables
  • Transforming, recoding and computing variables
  • Graphing quantitative data
  • Perform descriptive and inferential data analysis Topics to be covered

TOPICS TO BE COVERED

Module 1: Statistical Concepts and Overview of SPSS

  • Statistical Concepts
  • Descriptive Statistics
  • Common inferential statistics
  • Overview of SPSS
  • SPSS window-dialog boxes
  • File Extensions (new, Open, Open Datasets)
  • Save, Save As, import and exporting datasets
  • Printing
  • Creating and editing a data file

Module 2: Data Entry and Management

  • Entering categorical and continuous data
  • Defining and labeling variables
  • Validation and Sorting variables
  • Transforming, recoding and computing variables
  • Restructuring data
  • Replacing missing values
  • Merging files and restructuring
  • Splitting files, Selecting cases and weighing cases
  • Syntax and output

Module 3: Graphics using SPSS

  • Chart Builder
  • Graphboard Template Chooser
  • Graphing quantitative data

Module 4: Quantitative Data analysis (Part I)

  • Descriptive Analysis
  • Tables
  • Hypothesis testing
  • Comparing Means.
  • Regression and Correlation analysis

Module 5: Quantitative Data analysis (Part II)

  • Loglinear models
  • Dimension reduction
  • Scale
  • Non parametric tests
  • Reports

EVENT FEE & REGISTRATION
The training event fee is USD$1050, This caters for Facilitation, 2 Refreshment breaks (Morning & Afternoon Snack) & Buffet Lunch during the entire training period. This does not cover accommodation and travel logistics. We can organize for your Accommodation & Airport pick up at an Extra cost.

To Register online for this course click on this link (REGISTER ONLINE) or click on this link for more details (MORE COURSE DETAILS)