Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

INTRODUCTION
SPSS means Statistical Package for the Social Sciences, and it is appropriate for complex statistical data analysis of social science data. SPSS software allows for thorough data management in terms of organizing and managing data and also offers the user a lot of control. Other benefits of the software in data analysis includes it is good in data screening and cleaning, Better organization of the output in a separate window with the data editor window which avoid any data being deleted. This 5 days course intend to equip participants with advanced techniques using SPSS software.
 
DURATION
5 days
 
TARGET PARTICIPANTS
Researchers, students, anyone who interested in enhancing his/ her data analysis skills
 
COURSE OBJECTIVES
By the end of the training, you will be able to:
•    Understand both descriptive and inferential statistics
•    Understand various data collection techniques and data processing methods
•    Use basic functions and navigation within Stata and SPSS software
•    Create and manipulate graphs and figures in SPSS software
•    Handle statistical data analysis tasks in SPSS software
•    Export the results of your analyses.
 
TOPICS TO BE COVERED
Module 1: Statistical Concepts
•    Statistical Concepts
•    Types of data
•    Data Structures and Types of Variables
•    Overview of SPSS
•    Working with the SPSS software (file management, editing functions, viewing options, etc)
•    Output Management
•    Basics programming of SPSS
 
Module 2: 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
 
Module 3:
Statistical Inference and Descriptive Statistics
•    Tests of Association
•    Tests of Difference
•    Hypothesis testing
 
Measures of Variability and Central Tendency  
•    Describing quantitative data
•    Describing qualitative data
 
Graphics in Data Analysis
•    Graphing quantitative data
•    Graphing qualitative data
•    Advanced graphics options
 
Correlation  
•    Correlation of bivariate data
•    Subgroup Correlations
•    Scatterplots of Data by Subgroups
•    Overlay Scatterplots
 
Module 4: Test statistics and tests of associations
Comparing Means
•    One Sample t-tests
•    Paired Sample t-tests
•    Independent Samples t-tests
•    Comparing Means Using One-Way ANOVA 
•    MANOVA: multivariate analysis of variance
•    Repeated Measures ANOVA
 
Tests of associations
•    Goodness of Fit Chi Square All Categories Equal
•    Goodness of Fit Chi Square Categories Unequal
•    Chi Square for Contingency Tables
•    Pearson Correlation
•    Spearman Correlation
 
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
 
Comparing Means Using Factorial ANOVA 
•    Factorial ANOVA Using GLM Univariate
•    Simple Effects
 
Module 5:
Comparing Means Using Repeated Measures ANOVA 
•    Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
•    Multiple Comparisons
 
Other topics
•    Multiple Regression Analysis
•    Logistic regression (Binary & Multinomial)
•    Cluster Analysis
•    Factor analysis
 
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TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: +254 732 776 700 or +254 759 285 295. You can also email us on: [email protected]
 
REQUIREMENTS
Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.
 
TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
 
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700/+254 759 285 295 or Email: [email protected]