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

 

FineResults Research Services invites you to training on:

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

DATE: 8th to 12th  February 2021

COST: USD 800 Or Ksh 65000

REGISTER TO ATTEND

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

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. You can also email us on: [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 Services bank  account 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.

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