Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS

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 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. These 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

Training Customization

This training can also be customized for your institution upon request. You can also have it delivered to your preferred location. For further inquiries, please contact us through Mobile or email.

Requirements

Participants should be reasonably proficient in English.  During the training, 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 on request. For reservations contact us through Mobile or Email.

Payment

Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email.

Cancellation Policy

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.