Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel

Training Course on Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)

INTRODUCTION
Research, Data Management, Graphics & statistical analysis has always been integral parts of development work and has been playing a critical role towards achieving of Sustainable development Goals (SDGs). As a result, knowledge of research methodologies and application of statistical application software's to support data analysis in this era is very important. Statistical Packages for Social Sciences (SPSS), Stata and Microsoft Excel software has proved to be quite useful for the purpose of data management, graphical representation, and statistical analysis of data. These software are user-friendly and reduces the time/efforts that the researcher employ in research. This course aims at equipping participants with knowledge and vast skills which will enable them to use SPSS, STATA and Microsoft Excel in data management, graphics and statistical analysis. At the end of the course, participants will become familiar with using ICT tools and methods to conduct data collection, statistical analysis and reporting.

DURATION
5 Days

LEARNING 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 mobile phones for data collection(Open data Kit)
• Use basic functions and navigation within Stata and SPSS software
• Create and manipulate graphs and figures in Stata and SPSS software
• Handle statistical data analysis tasks in Stata and SPSS software
• Export the results of your analyses.

TOPICS TO BE COVERED
• Statistical Concepts
• Statistical Inference
• Mobile Data gathering
• Getting started in ODK
• Survey Authoring and Preparation of mobile phone for data collection
• Designing forms and advanced survey authoring
• Advanced survey Authoring
• Hosting survey data (Online)
• Introduction to SPSS/Stata/Excel
• Data Entry/Management
• Descriptive Statistics
• Measures of Variability and Central Tendency
• Graphics in Data Analysis
• Quantitative Data Analysis (Part I)
• Correlation
• Comparing Means
• Comparing Means Using Repeated Measures ANOVA
• Quantitative Data Analysis (Part III)
• Chi-Square
• Quantitative Data Analysis (Part II)
• Regression Analysis
• Nonparametric Statistics
• Quantitative Data Analysis (Part III)
• Survey estimation and inference for complex designs
• Advanced analysis of complex survey data
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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: training@fineresultsresearch.org

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: training@fineresultsresearch.org



Date: 23 May 2022 to 27 May 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 900, Ksh 80,000

Date: 25 July 2022 to 29 July 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 900, Ksh 80,000

Date: 19 September 2022 to 23 September 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 900, Ksh 80,000

Date: 14 November 2022 to 18 November 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 900, Ksh 80,000

Contact: Joy Nyongesa
Company name: FineResults Research Services
Telephone number: +254 732 776 700 / +254 759 285 295
Email address gro.hcraeserstluserenif@gniniart

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