Email: info@datastatresearch.org
Telephone: +254724527104


Training Course on Data Management, Graphics and Statistical analysis using SPSSĀ»

INTRODUCTION

SPSS is extensively applied in virtually every field including in governent, business, and academia. It is a statistical analysis tool that allows any firm or individual to analyze huge chunks of data in order to understand it. The most common use of SPSS is to draw correlations between variables and to to make statistically valid forecasts for future results.

Everything in our course is intended to making you a speedier and more casual SPSS user. Our courses are purposely pro-active including a lot of practical activities and examples to guarantee your proficiency in SPSS. We trust that product abilities that are created in practical situations are more profound than those created from classroom explanations. Our activities are precisely chosen to stress the key parts of every lesson.

COURSE DURATION

5 Days

TRAINING OBJECTIVES

• Convert data into different formats using appropriate software

• Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS

• Design computer-aided data capture screens using CSPRO

• Perform basic time series, longitudinal, and econometric analysis

• Perform basic data analysis tasks with SPSS

• Perform simple to complex data management tasks using SPSS

• Appropriately use  and understand and statistical terms and concepts

• Use mobile phone data collection tool Open Data Kit (ODK) to collect survey data

TRAINING CONTENT

Module One

An overview of SPSS

• Basic data quality checks

• Basic Descriptive Statistics

• Basic exploratory data analysis procedures

Basic statistical terms and concepts

• Common inferential statistics

Concepts and Software for Data Processing

• Creating and editing a data file

• Data Processing using Surveys Processing Software (CsPro) and Census 

• Editing output

• Frequently –used dialog boxes

• Mouse and keyboard processing,

• Opening file and file extensions

• Printing results

• The core functions of inferential statistics

• Use of Mobile Phones for Data Collection and Processing

Module Two

Data Entry, management and Manipulation

• Define and label variables

• Enter categorical and continuous data

• Exploring data Selecting and sorting cases

• Help files

• Merging files

• Replacing missing values

• Restructuring data

• Syntax and output

• Transform, recode and compute variables

Tabulations and Graphics

• Creating and editing graphs and charts

• Cross Tabulations

• Frequency Tables

• Graphing Qualitative data

• Graphing Quantitative data

• Stub and Banner Tables

Module Three

Advanced Statistical Analysis

• Correlation and simple linear regression

• Data Reduction Methods

• Introduction to Econometric Analysis

• Introduction to estimation and hypothesis testing

• Introduction to Longitudinal Analysis Using SPSS

• Introduction to Time Series Analysis

• One sample tests: sign, t-test, and signed rank tests

Quantitative Analysis using SPSS

• Regression Analysis

• Three or more samples

• Two-sample tests: t-test, Mann-Whitney test

 

Course Schedule

No Start Date End Date Action
1. 02/09/2019 06/09/2019 Register
2. 16/09/2019 20/09/2019 Register
3. 30/09/2019 04/10/2019 Register
4. 14/10/2019 18/10/2019 Register
5. 28/10/2019 01/11/2019 Register
6. 11/11/2019 15/11/2019 Register
7. 25/11/2019 29/11/2019 Register
8. 09/12/2019 13/12/2019 Register
9. 13/01/2020 17/01/2020 Register
10. 27/01/2020 31/01/2020 Register
11. 10/02/2020 14/02/2020 Register
12. 24/02/2020 28/02/2020 Register

Contact Us

Mobile No: +254724527104/ +254734969612

Email Add: info@datastatreseach.org

Postal Add: 5402-00100

Head Office: Comet House 1st floor room 12A, Along Monrovia Street, Nairobi, Kenya