Dear all,
FineResults Research Services would like to invite you to high impact training on Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK) to be held in Nairobi from 6th -10th April 2020 .
COURSE PROFILE
Course Name: Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)
Date: 6th -10th April 2020.
Venue: FineResults Research Training Centre, Nairobi , Kenya
Cost: USD 800
Online Registration : REGISTER HERE
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
Day 1:
Statistical Concepts
Statistical Concepts
Types of data
· Data Structures and Types of Variables
Overview of SPSS
Statistical Inference
· Tests of Association
· Tests of Difference
· Hypothesis testing
Mobile Data gathering
Benefits of Mobile Applications
Data and types of Data
Introduction to common mobile based data collection platforms
Managing devices
Challenges of Data Collection
Data aggregation, storage and dissemination
Questionnaire Design
Getting started in ODK
Types of questions
Data types for each question
Types of questionnaire or Form logic
Extended data types geoid, image and multimedia
Survey Authoring and Preparation of mobile phone for data collection
Survey Authoring
ODK Collect applications: Installing, Configuring the device (Mobile Phones) and uploading the form into the mobile devices
Designing forms and advanced survey authoring
Introduction to XLS forms syntax
New data types
Notes and dates
Multiple choice Questions
Multiple Language Support
Hints and Metadata
Advanced survey Authoring
Conditional Survey Branching
Required questions
Constraining responses
Skip: Asking Relevant questions
The specify other
Grouping questions
Skipping many questions at once (Skipping a section)
Repeating a set of questions
Special formatting
Making dynamic calculations
Hosting survey data (Online)
ODK Aggregate
Uploading the questionnaire to the server
Day 2:
Introduction to SPSS/Stata/Excel
Installing the software(s)
Software interfaces
Working with the software (file management, editing functions, viewing options, etc)
Output Management
Basics programming of Stata and SPSS
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
Descriptive Statistics
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
Day 3:
Quantitative Data Analysis (Part I)
Correlation
Correlation of bivariate data
Subgroup Correlations
Scatterplots of Data by Subgroups
Overlay Scatterplots
Comparing Means
One Sample t-tests
Paired Sample t-tests
Independent Samples t-tests
Comparing Means Using One-Way ANOVA
Comparing Means Using Factorial ANOVA
Factorial ANOVA Using GLM Univariate
Simple Effects
Comparing Means Using Repeated Measures ANOVA
Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
Multiple Comparisons
Module 5: Quantitative Data Analysis (Part III)
Chi-Square
Goodness of Fit Chi Square All Categories Equal
Goodness of Fit Chi Square Categories Unequal
Chi Square for Contingency Tables
Day 4:
Quantitative Data Analysis (Part II)
Regression Analysis
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
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
Day 5:
Quantitative Data Analysis (Part III)
Survey estimation and inference for complex designs
Introduction to survey data
Introduction to complex sample designs, survey estimation and inference
Multi-stage designs, stratification, cluster sampling, weighting, item missing data, finite population corrections
Models and assumptions for inference from complex sample survey data
Sampling distributions, confidence intervals
Design effects.
Advanced analysis of complex survey data
Bayesian Analysis of Complex Sample Survey Data
Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis
Fitting Structural Equation Models to Complex Sample Survey Data
Small Area Estimation and Complex Sample Survey Data
Nonparametric Methods for Complex Sample Survey Data
NB: We are offering you a half day, fun and interactive team building event!
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: [email protected]
PAYMENT
Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: [email protected]
Visit our website for more details
How to participate
Individual Registration
Contact information
Email: [email protected]
TEL: +254 732 776 700 / +254 759 285 295
Website: fineresultsresearch.org/training/
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