Training Course on Research Design, Data Management and Statistical Analysis using SPSS

Course Title: Training Course on Research Design, Data Management and Statistical Analysis using SPSS
Course venue: Kigali Rwanda
Course duration - 5 days
Registration Fee : 750 USD
Course dates
14th - 18th August, 2023 : https://bit.ly/3PKDewz
18th - 22nd September, 2023: https://bit.ly/3PKDewz
23rd - 27th October, 2023 : https://bit.ly/3PKDewz
20th - 24th November, 2023 : https://bit.ly/3PKDewz
Contacts: +250 784 481 618 or +250 786 156 256
E-mail: [email protected]
About the Course
In the socio-economic and business context, conducting research, data management, and data analysis are imperative for informed decision making. IBM SPSS Statistics is a powerful statistical software platform. It delivers a robust set of features that lets your organization extract actionable insights from its data. The software is more popular in social sciences. Sound knowledge about the methodology of conducting research and the use of SPSS is very beneficial for to researchers. Upon completion of workshop, participants will develop competence in quantitative techniques in research design, data collection, and management, statistical data analysis, interpretation and reporting of results.
Target Participants
Ideal participants for this course include evaluators, researchers, students and all persons who are interested in enhancing their data analysis skills.
What you will learn
By the end of the course the learner should be able to:
• Understand quantitative research approaches
• Easily collect high quality data using mobile devices such as tablets and phones.
• Clean their data for use in subsequent statistical analysis.
• Identify and fix errors in datasets.
• Analyze and better understand their data, and solve complex business and research problems through a user-friendly interface.
• More quickly understand large and complex data sets with advanced statistical procedures that help ensure high accuracy and quality decision-making.
• Gain high level skills on statistical results interpretation and report writing.
Course duration
5 days
Course Outline
Module 1: Introduction
Introduction to Research
• Introduction to research
• Different types of research
• Formulation of research problem statement
• Formulation of research hypothesis
Research Design
• Quantitative Research Approaches
• Qualitative Research Approaches
Sampling
• Sampling Techniques
• Sample size determination
Data Collection tools in Research
• Survey Questionnaire design
• FGD guide design
• KII guide design
Developing Research Protocol
• What is a research protocol?
• Basic concepts of a research protocol
• Structure of a research protocol
Statistical Concepts and Introduction to SPSS
• 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 Approach
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Certification
Upon successful completion of this course, participants will be issued with a certificate.
Tailor-Made Course
We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more [email protected]
Payment
The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
Payment should be sent to our bank account before start of training and proof of payment sent to [email protected]