Informed decision making is facilitated through research. Different techniques and data sets for research are helpful to businesses and consumers. The skills to conduct research and analyse the data using SPSS are crucial to researchers. At the end of this course participants should have acquired knowledge and skills in the systemic undertaking of a research using quantitative techniques, data collection methods and data analysis and interpretation.

Course Objectives

• Understand the terms and concepts of statistical data
• Design and conduct research!
• Use SPSS for data analysis.
• Manage research data using software.
• Carry out statistical tests using software.
• Writing reports from survey data

Duration       10 Days

Who Should Attend

The training is designed for participants who intend to learn the use of SPSS for data management and data analysis. The course targets individuals in the corporate world, in the public sector, and in research institution, NGOs.

Course Outline

Introduction to research

• Meaning of research
• Research types
• Problem statement
• Hypothesis
• Research design
• Research ethics.

Introduction to Survey Design

• Introduction to survey design
• Survey objectives.
• Research questions creation.
• Survey estimation.
• Sample survey versus census.
• Target population determine.
• Sampling frame
• Survey instrument.
• Errors in survey; sampling and non-sampling errors

Sampling

• Determination of a sample size
• Power calculations
• External and internal validity
• Methods of sampling

Survey Questionnaire Design

• Designing questionnaires
• Questions
• Error in questionnaire response
• Layout of questionnaire
• Questionnaire piloting
• Processing of questionnaires

Mobile Data Collection and Processing (ODK)

• Introduction to mobile data collection
• Using ODK build and XLS form to develop survey forms.
• Utilization of ODK collect for data gathering.
• Utilization of ODK aggregate to upload data to the server.
• Spatial data (GPS)

Survey Data Processing

• Coding of data
• Capture of data
• Editing of data
• Imputation of data
• Treatment of outliers

Introduction to SPSS statistical software

• Features and interface of SPSS
• SPSS terminologies
• Preparation of data file
• SPSS data entry
• Manipulation of data; split, merge, sorting of files and missing values

Basic Statistics using SPSS

• Descriptive statistics for numeric variables
• Frequency tables
• Variables of distribution and relationship
• Cross tabulations of categorical variables
• Banner and stub Tables

Graphics using SPSS

• Introduction to SPSS graphs
• SPSS Graph commands
• Types of SPSS graphs

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

Predictive Models using SPSS.

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

Longitudinal Analysis using SPSS.

• Longitudinal data features
• Exploring Longitudinal data
• Longitudinal analysis for continuous outcomes

Qualitative Data Analysis using NVivo.

• Introduction to NVivo
• NVivo workspace
• NVivo upload of qualitative data.
• Coding and nodes making
• Queries utilization
• Visualization of project

Survey Report writing and Dissemination.

• Format of survey report
• Content of survey report
• Dissemination of survey findings

General Notes

• This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

• Training manuals and additional reference materials are provided to the participants.
• Upon successful completion of this course, participants will be issued with a certificate.