Research Methodology Data Management Analysis and Reporting using SPSS

FineResults Research Services invites you to training on:

DATE: 15th to 19th  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) 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.

DURATION

5 Days

 COURSE OBJECTIVES

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

TOPICS TO BE COVERED

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

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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