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

Date:                                          Event

05th  -09th /04/2021 : Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

17th  -21st /05/2021 : Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

14th – 18th /06/2021:  Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

19th  – 23rd /07/2021 : Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

 Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800

                            : Online Training USD 700

Contact us: email: [email protected] or Cell phone (+254 759 285 295)

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

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: (+254 759 285 295) or Email: [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: (+254 759 285 295)

Or Email: [email protected] 

PAYMENT

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

CANCELLATION POLICY

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

Visit our website for more details

VIEW RELATED COURSES

• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata
• Information and Documentation Compliance

THE MOST POPULAR COURSES

• GIS using ArcGIS Desktop
• Effective Project Proposal and Report Writing
• Agriculture, Innovation and Technology for Sustainable Development
• Scientific Writing: Preparing a Manuscript for Publication in International Journals
• Effective B2B & Trade Marketing Strategies
• Accounting & Finance for Non-Financial Professionals using QuickBooks
• Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
• Collection and management of Research data using ODK and Kobo Toolbox
• Developing and Leading High Performing Teams

Payment should be transferred toFineResults Research Services account through bank on or before C.O.B. 2nd April 2021  

Send proof of payment to [email protected]