Research Methodology Data Management Analysis and Reporting using SPSS

Posted By : User Ref No: WURUR70672 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 15-02-2021 - 19-02-2021
Research Methodology Data Management Analysis and Reporting using SPSS, Nairobi, Kenya
Training or Development Class Title
Research Methodology Data Management Analysis and Reporting using SPSS
Event Type
Training or Development Class
Training or Development Class Date
15-02-2021 to 19-02-2021
Last Date for Applying
08-02-2021
Location
Nairobi, Kenya
Organization Name / Organize By
FineResults Research Services
Organizing/Related Departments
FineResults Research Services
Organization Type
Organization
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Research/Science

Hardware/Software/Networking Services

Location
Nairobi, Kenya

 

FineResults Research Services invites you to training on:

Research Methodology Data Management Analysis and Reporting using SPSS

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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Registration Fees
Not Mention
Registration Ways
Email
Phone
Website
Address/Venue
  FineResults Research Services Training Center 
Official Email ID
Contact
Edith Warigia

[email protected]

   +254 759 285 295