Research Methodology Data Management Analysis And Reporting Using SPSS


Dear all,

RE : Research Methodology Data Management Analysis And Reporting Using SPSS

FineResults Research Services would like to invite you to high impact training on Research Methodology Data Management Analysis and Reporting Using SPSS to be held in Nairobi from 13th-17th January 2020

Event information

Course Name: Research Methodology Data Management Analysis And Reporting Using SPSS

Venue: FineResults Research, Nairobi, Kenya

Event Date: 13th-17th January 2020

Course Fee : KES 65000 or USD 800

Online Registration : REGISTER HERE


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) has proved to be quite useful for the purpose of data management, graphical representation, and statistical analysis of data. SPSS application is user-friendly, reduces the time and efforts of the researcher employed in the process research. This course aims at equipping participants with knowledge and vast skills which will enable them to use SPSS in Data Management, Graphics & statistical analysis.


5 Days


The training will enable participants to;

  • Understand how to create and edit a data file

  • Enter categorical and continuous data

  • Define, label, validate and Sort variables

  • Transforming, recording and computing variables

  • Graphing quantitative data

  • Perform descriptive and inferential data analysis


Module 1: Statistical Concepts and Overview of SPSS

  • Statistical Concepts

  • Descriptive Statistics

  • Common inferential statistics

  • Overview of SPSS

  • SPSS window-dialog boxes

  • File Extensions (new, Open, Open Datasets)

  • Save, Save As, Import and exporting datasets

  • Creating and editing a data file

Module 2: Data Entry/Management, Descriptive Statistics and Graphics

  • 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 using SPSS

  • Chart Builder

  • Graphing quantitative and qualitative data

Module 3: Quantitative Data Analysis (Part I)

  • Correlation

  • Correlation

  • Subgroup Correlations

  • Scatterplots of Data by Subgroups

  • Overlay Scatterplots

  • Regression Analysis

  • Assumptions of selected types of regression

  • Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression

  • 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

  • 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

NB: We are offering you a half day, fun and interactive team building event!


Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: [email protected]


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


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