Research, Data management, Tabulations & Graphics, Statistical Analysis and Inferences using SPSS Training (8th – 12th May 2017)

(versed professional services) #1

Statistical packages for Social Sciences (SPSS) has be proved quite useful for the purpose of data management, graphical representation, and statistical analysis of data. This training is aimed at equipping the participants with Research, Data management, Graphics & statistical analysis skills. Knowledge on research methodologies and application of SPSS softwares to support data analysis in this era is very important.

#Training 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

#Training Venue:
Nairobi, Kenya

#Training Duration:
5 Days

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

USD 800

The course fee covers the course tuition, training materials, two break refreshments and lunch. All participants will additionally cater for their, travel expenses, visa application, and other personal expenses.
To register Click here (Register). For more details click here (More Details)