Advanced Data Management and Analysis Using SPSS

A good knowledge of quantitative data analysis is a sine qua non for progress in the academic and corporate world. This SPSS program will teach you the fundamentals of using SPSS, practical, hands-on examples, and exercises in a workshop environment. Led by highly experienced SPSS trainers with many years of experience here at Cynet East Africa Consultancy, our hands-on program will leave you with lots of useful tips and tricks to make the most of the SPSS software package.

PROGRAM OBJECTIVES

On completion of this program, you will develop an ability to independently analyze and treat data, and plan and carry out new research work based on your research interest. The program encompasses most of the major types of research techniques employed in academic and professional research in the most comprehensive, in-depth and stepwise manner.

Target Audience

1. Data Analysts
2. Statisticians
3. Business Analysts
4. Government and Policy Analyst
5. PhD students, and Researchers

MODULES

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

CERTIFICATION

Upon successful completion of the training, participants will be awarded Cynet East Africa Consultancy certificate.

N/B

Training will be facilitated by Cynet East Africa Consultancy seasoned trainers.