Organization Name / Organize By
FineResults Research Services
Organizing/Related Departments
Training and Capacity Building
Organization Type
Organization
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries
Education/Teaching/Training/Development
Research/Science
INTRODUCTION
Research, Data Management, Graphics & statistical analysis has always been integral parts of development work and has been playing a critical role towards achieving of Sustainable development Goals (SDGs). As a result, knowledge of research methodologies and application of statistical application software's to support data analysis in this era is very important. Statistical Packages for Social Sciences (SPSS) has proved to be 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.
DURATION
5 Days
COURSE OBJECTIVES
The training will enable participants to;
- Understand how to create and edit a data file
- Enter categorical and continuous data
- Define, label, validate and Sort variables
- Transforming, recording and computing variables
- Graphing quantitative data
- Perform descriptive and inferential data analysis
TOPICS TO BE COVERED
Module 1: Statistical Concepts and Overview of SPSS
Statistical Concepts
- Descriptive Statistics
- Common inferential statistics
Overview of SPSS
- File Extensions (new, Open, Open Datasets)
- Save, Save As, Import and exporting datasets
- Creating and editing a data file
Module 2: Data Entry/Management, Descriptive Statistics and Graphics
Data Entry/Management
- Entering categorical and continuous data
- Defining and labeling variables
- Validation and Sorting variables
- Transforming, recording and computing variables
- Restructuring data
- Replacing missing values
- Merging files and restructuring
- Splitting files, Selecting cases and weighing cases
- Syntax and output
Descriptive Statistics: Measures of Variability and Central Tendency
- Describing quantitative data
- Describing qualitative data
Graphics using SPSS
- Chart Builder
- Graphing quantitative and qualitative data
Module 3: Quantitative Data Analysis (Part I)
Correlation
- Correlation
- Subgroup Correlations
- Scatterplots of Data by Subgroups
- Overlay Scatterplots
Regression Analysis
- Assumptions of selected types of regression
- Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression
Comparing Means
- One Sample t-tests
- Paired Sample t-tests
- Independent Samples t-tests
- Comparing Means Using One-Way ANOVA
Comparing Means Using Factorial ANOVA
- Factorial ANOVA Using GLM Univariate
- Simple Effects
Comparing Means Using Repeated Measures ANOVA
- Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
- Multiple Comparisons
Module 5: Quantitative Data Analysis (Part III)
Chi-Square
- Goodness of Fit Chi Square All Categories Equal
- Goodness of Fit Chi Square Categories Unequal
- Chi Square for Contingency Tables
Nonparametric Statistics
- Mann-Whitney Test
- Wilcoxon’s Matched Pairs Signed-Ranks Test
- Kruskal-Wallis One-Way ANOVA
- Friedman’s Rank Test for k Related Samples
Registration Fees
Available
Registration Fees Details
The course fee is KES 65,000.00 or USD 800.00. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.
Organizations who send more than three participants automatically qualify for a 10% discount.
Registration Ways
Email
Phone
Website
Address/Venue
Fahari Palace Apartments, along Church Road, Nairobi Kenya
Pin/Zip Code : Nairobi