INVITATION FOR A WORKSHOP ON RESEARCH DESIGN, DATA MANAGEMENT AND STATISTICAL ANALYSIS USING SPSS 17TH -30TH 2022

Tue Sep 6 09:19:19 UTC 2022

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INVITATION FOR A WORKSHOP ON RESEARCH DESIGN, DATA MANAGEMENT AND 
STATISTICAL ANALYSIS USING SPSS 17TH -30TH 
2022

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REGISTER TO ATTEND

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OUR COURSE CALENDER

PARTICIPATION 
FEE: 2320 USD

VENUE: 
BEST WESTERN, MERIDIAN HOTEL, NAIROBI, KENYA
Office 
Telephone: +254-715-310-685
Register 
as a group of 5 or more participants and get 15% discount on the course fee. 

Send 
us an email: 
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training at afriextraining.orgor 
call +254-715-310-685

INTRODUCTION
In 
the socio-economic and business context, conducting research, data management 
and data analysis are imperative for informed decision making. The availability 
of several datasets and research techniques open the gateway of conducting 
systematic research which will be helpful for consumers, businesses and 
organizations. A sound knowledge about the methodology of conducting research 
and use of SPSS as a research, data management and analysis tool is very 
beneficial for the researchers.
Upon 
completion, the participants will develop competence in quantitative techniques 
through hands-on practices in study design, data collection, and management, as 
well as the analysis and interpretation of data.
DURATION
10 
days
TARGET 
AUDIENCE
The 
training is designed for participants who intend to learn how to plan, implement 
effective research studies including data management analysis.  Those 
who are working in the private sector, government institutions, research 
institutions and NGOs.
OBJECTIVES
By 
the end of this training the participants will learn to:
v Understand 
and appropriately use statistical terms and concepts
v Design 
and Implement universally acceptable research
v Develop 
of functional research protocol
v Design 
both quantitative and qualitative data collection tools
v Perform 
data analysis tasks with SPSS
v Perform 
simple to complex data management tasks using software
v Statistical 
tests using SPSS software
v Writing reports 
from survey data
COURSE 
OUTLINE
Introduction 
to research
v Introduction 
to research
v Different 
types of research
v Formulation 
of research problem statement
v Formulation 
of research hypothesis
Overview 
of Evaluation
v Evaluation 
Objectives
v Evaluation 
Criteria
v Evaluation Questions
Research 
Design
v Quantitative 
Research Approaches
v Qualitative Research 
Approaches
Sampling
v Sampling 
Techniques
v Probability
v Non-probability
v Sample size 
determination
Data 
Collection Methods in Research
v Quantitative 
data collection methods
v Qualitative 
data collection
v Creating an 
evaluation framework
Data 
Collection tools in Research
v Survey 
Questionnaire design
v FGD 
guide design
v KII 
guide design
Developing 
Research Protocol
v What 
is a research protocol?
v Basic 
concepts of a research protocol
v Structure 
of a 
research protocol
Mobile 
Data Collection and Processing (ODK)
v Introduction 
to mobile data gathering
v Design 
of survey forms using ODK build and XLSForm
v Use 
ODK collect to gather data
v Use 
ODK aggregate to upload data to the server
v Work with 
spatial data (GPS coordinates)
Introduction 
to SPSS statistical software
v SPSS 
interface and features
v Key 
terminologies used in SPSS
v Views: 
Variable, Data views, Syntax editor
v Data 
file preparation
v Data 
entry into SPSS
v Data 
manipulation: 
merge files, spit files, sorting files, missing values
Basic 
Statistics using SPSS
v Descriptive 
statistics for numeric variables
v Frequency 
tables
v Distribution 
and relationship of variables
v Cross 
tabulations of categorical variables
v Stub 
and Banner 
Tables
Graphics 
using SPSS
v Introduction 
to graphs in SPSS
v Graph 
commands in SPSS
v Different 
types of 
Graphs in SPSS
Statistical 
Tests using SPSS
v One 
Sample T Test
v Independent 
Samples T Test
v Paired 
Samples T Test
v One-Way 
ANOVA
Statistical 
Associations in SPSS
v Chi-Square 
test
v Pearson's 
Correlation
v Spearman's Rank-Order 
Correlation
Predictive 
Models using SPSS
v Linear 
Regression
v Multiple 
Regression
v Logistic 
Regression
v Ordinal 
Regression
Longitudinal 
Analysis using SPSS
v Features 
of Longitudinal Data
v Exploring 
Longitudinal data
v Longitudinal analysis 
for continuous outcomes
Qualitative 
Data Analysis using NVivo
v Introduction 
to NVivo
v NVivo 
workspace
v Uploading 
qualitative data into NVivo
v Coding 
and making nodes
v Use 
of queries
v Project 
visualization
 Survey 
Report writing and Dissemination
v Survey 
report format
v Survey 
report content
v Survey 
findings dissemination
v Use 
of survey findings for decision making

METHODOLOGY
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.
TRAINING 
VENUE, LOGISTICS AND PAYMENT
v Training 
will be held at Afriex Training Centre, Nairobi, Kenya.
v The 
course fee covers the course tuition, training materials, two break 
refreshments, lunch, and study visits.
v Accommodation 
and airport transfer are arranged upon request by the participant.
v This 
training can also be tailor made for your institution upon 
request. You can have it delivered in our training Centre or at a 
convenient location.
v For 
further inquiries, please contact us on 
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v Payment 
should be made to Afriex Training Limited bank account before the start of 
the training and receipts sent to 
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training at afriextraining.org
v Upon 
successful completion of this training, participants will be issued with an 
Afriex Training Ltd certificate.

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