COURSE OBJECTIVES

To introduce participants to the basics of data management, Descriptive and Inferential Statistical Analysis with SPSS.

KEY TOPICS

• Continuous versus Categorical Data (Nominal, Ordinal, Scale, Ratio);
• Nature of data as the guidance in selecting statistical models;
• Data processing;
• Data Template;
• Data entry;
• Variable transformation;
• Data Visualization and Data Exploration;
• Checking missing observations;
• Identifying human errors in data;
• Checking Assumptions of Statistical models;
• Descriptive Analysis and Inferential Statistics;
• Frequency Tables (one way and two way);
• Basic Graphics (Histogram, Pie-chart and clustered bar graphs etc.);
• Analysis of Variance (ANOVA);
• Ordinary Regression Analysis (Simple and Multiple);
• Logistic Regression Analysis (Binary, Ordered and Multinominal); and
• Survival Analysis.

LEARNING OUTCOMES

By the end of the course participants will be able to:

• Select statistical models for the appropriate data;
• Understand the basics of statistical Analysis using SPSS;
• Manage data and manipulate (handling missing observations and correcting human errors resulting from data entry); and
• Apply basic descriptive and inferential statistical analysis in wide range of areas.

TARGET PARTICIPANTS

Academia, Researchers, NGOs, Students, etc.

Offered By : Statistics - College of Social Sciences

OTHER DETAILS

Cost: 400,000

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