Introduction

The training is essential in the development of better understanding of the concepts of statistics. It will provide the participants with a general idea of computer assisted data analysis. Additionally, the training will also focus on developing skills that are crucial to the transformation of data using SPSS.

Course Objectives:

The course will;

·         Introduce participants to SPSS as a data analysis tool.

·         Introduce survey data as a key quantitative resource for social science research;

·         Provide essential skills of data manipulation including selecting sub-sets, selecting cases,  data transformation using the recode function and sorting data

·         Introduce common operations with data: introduction to the SPSS user interface, definition of variables (string, numeric, date, coma, dot and scientific notation; scale, ordinal and categorical variables) and data coding,

·         Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions;

·         Introduce generating of tables, scatter graphs, bar charts, histograms and performing cross-tabulations,

·         Examine relationships between variables (Non-parametric tests like chi-square and comparison of means, testing for reliability (Chronbach’s alpha), Pearson and Spearman correlation, partial correlation, chi square test for association)

·         Introduce Simple and Multiple regression analysis

·         Introduce interpretation of correlation and regression outputs

Duration

4 days

Who should attend?

The course is mainly suitable for Masters and PhD students wishing to use SPSS software to analyse data for their thesis or projects. The course is also useful to beginners in the field of research who have an interest in learning how to use quantitative data analysis tools and methods. 

Course content

·       Introduction to Statistics: Types of statistics, types of variables, summarizing and presenting data using tables and graphs.

·       Introduction to SPSS: Data entry and data manipulation

·       Exporting output to other programs like MS Word and Excel.

·   Performing the tests of association: Pearson and Spearman correlation, partial correlation, chi square test for association, loglinear analysis

·       Statistical Inferences: Hypothesis testing

·       Test statistics: parametric and non-parametric tests

·  Correlation and regression: Simple and multiple linear regression, logistic regression

·       Interpretation of correlation and regression outputs

Requirements

This course is designed for beginners and no prior knowledge of statistics or quantitative research background is required. Participants are expected to come with their own laptops.

General Notes

·        All our courses can be Tailor-made to participants needs

·        The participant must be conversant with English

·        Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10 years of experience.

·        Upon completion of training the participant will be issued with Foscore Development Center certificate (FDC-K)

·       Training will be done at Foscore Development Center (FDC-K) center in Nairobi Kenya. Course duration is flexible and the contents can be modified to fit any number of days.

·       The course fee includes facilitation training materials, 2 coffee breaks, and a Certificate of successful completion of Training.

·        One six months free Consultation and Coaching provided after the course.

·       Payment should be done two week before commence of the training, to FOSCORE DEVELOPMENT CENTER account, so as to enable us prepare better for you.