- TypeTraining or Development Class
- Location Nairobi, Kenya
- Date 12-07-2021 - 24-09-2021
Education/Teaching/Training/Development
Research/Science
Business Development
Information Technology
Computer/Technology
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research and Statistics courses at our FineResults Services training facilities in Nairobi, Kenya or online.
Date Event
12th to 23rd July 2021 Research Design Data Management And Statistical Analysis Using SPSS
16th to 27th August 2021 Research Design Data Management And Statistical Analysis Using SPSS
13th to 24th September 2021 Research Design Data Management And Statistical Analysis Using SPSS
INTRODUCTION
SPSS is a complete statistical software package for data management, data analysis and graphics. Using the software classical and advanced functions, SPSS software can be used via a graphical user interface (menus and dialog boxes) or a using syntax command. Besides equipping the participants with advanced data management and analysis using SPSS, this 10 days course aim to introduce participants to research design, sampling techniques and report writing skills all aimed at helping the participants to understand the research process all through to decision making.
COURSE DURATION
10 Days
TARGET PARTICIPANTS
Government institutions, research institutions and NGOs and any other person interested in advancing data analysis skills using SPSS software
COURSE OBJECTIVES
By the end of the training, you will be able to:
Understand and appropriately use statistical terms and concepts
Design both quantitative and qualitative data collection tools
Understand both descriptive and inferential statistics
Understand various data collection techniques and data processing methods
Use basic functions and navigation within SPSS
Create and manipulate graphs and figures in SPSS
Execute syntax
Use SPSS effectively for manipulating and analysing data.
Export the results of your analyses.
Learn interpretation of results
Learn how to write different research outputs including project reports, case studies, evidence briefs, policy briefs, posters among other outputs
TOPICS TO BE COVERED
Module 1: Introduction to research
Basic statistical terms and concepts
Introduction to research
Introduction to statistical concepts
Descriptive Statistics
Inferential statistics
Research Design
The role and purpose of research design
Types of research designs
The research process
The survey process
Survey design
Sampling techniques and sample size determination
Developing research protocol
Module 2: Research Approaches
Quantitative Research Approaches
Qualitative Research Approaches
Data Collection Methods in Research
Quantitative data collection methods- Developing of quantitative data collections tools in paper
Qualitative data collection- Developing qualitative data collection tool
Developing research protocol
Module 3: Mobile Data Collection and Processing using open data kit (ODK)
Introduction to mobile data gathering
Designing a questionnaire in ODK
Design of survey forms using ODK build and XLS Form
Use ODK collect to gather data
Use ODK aggregate to upload data to the server
Download data for data analysis
Exporting data to SPSS
Module 4: Introduction to SPSS statistical software
SPSS interface and features (Data editor, syntax, output, chart editor etc)
Data file preparation, cleaning, sorting, coding, recoding, missing values)
Data entry into SPSS
Data manipulation: merge files, spit files, sorting files, missing values
Basic Statistics using SPSS
Descriptive statistics for numeric variables and categorical variables
Frequency tables
Distribution and relationship of variables
Cross tabulations of categorical variables
Module 5: Statistical Tests using SPSS
One Sample T Test
Independent Samples T Test
Paired Samples T Test
One-Way ANOVA
Statistical Associations in SPSS
Chi-Square test
Pearson's Correlation
Spearman's Rank-Order Correlation
Module 6: Regression analysis using SPSS
Assumptions of selected types of regression
Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression
GLM Model
The Problems with regression
Linear Regression
Multiple Regression
Module 7: Other types of regression analysis
Logistic Regression (Probit, logit regressions)
Ordinal Regression
Poison regressions
Multinomial logit/probit regression
Module 8: Report writing
Survey report format
Survey report content
Use of survey findings for decision making
Module 9: Writing case study,
What is a case?
Structure of a case?
Case writing guidelines?
Case selection?
Elements of a good case
Simplifying writing
Good writing
Easy-to-read writing
Four ways to start writing
Writing sample cases
Module 10: Writing a policy brief
What is a policy brief
Purpose of policy brief
Characteristics of good policy briefs
Structural guidelines for presentation
Key elements of a policy brief
Technical guidelines for presentation of policy briefs
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
Cost:
In-person USD 1600
Online USD 1440
Registration
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to [email protected]
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
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.