Training on Research Design Data Management And Statistical Analysis Using SPSS

Posted By : User Ref No: WURUR78538 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 12-07-2021 - 24-09-2021
Training or Development Class Title
Training on Research Design Data Management And Statistical Analysis Using SPSS
Event Type
Training or Development Class
Training or Development Class Date
12-07-2021 to 24-09-2021
Location
Nairobi, Kenya
Organization Name / Organize By
FineResults Research Services
Organizing/Related Departments
Research And Statistics
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

Business Development

Information Technology

Computer/Technology

Location
Nairobi, Kenya

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research and Statistics courses at our FineResults Services training facilities in Nairobi, Kenya or online.

Date Event

12th to 23rd July 2021 Research Design Data Management And Statistical Analysis Using SPSS

16th to 27th August 2021 Research Design Data Management And Statistical Analysis Using SPSS

13th to 24th September 2021 Research Design Data Management And Statistical Analysis Using SPSS


 

INTRODUCTION

SPSS is a complete statistical software package for data management, data analysis and graphics. Using the software classical and advanced functions, SPSS software can be used via a graphical user interface (menus and dialog boxes) or a using syntax command. Besides equipping the participants with advanced data management and analysis using SPSS, this 10 days course aim to introduce participants to research design, sampling techniques and report writing skills all aimed at helping the participants to understand the research process all through to decision making.

COURSE DURATION

10 Days

TARGET PARTICIPANTS

Government institutions, research institutions and NGOs and any other person interested in advancing data analysis skills using SPSS software

COURSE OBJECTIVES

By the end of the training, you will be able to:

  • Understand and appropriately use statistical terms and concepts

  • Design both quantitative and qualitative data collection tools

  • Understand both descriptive and inferential statistics

  • Understand various data collection techniques and data processing methods

  • Use basic functions and navigation within SPSS

  • Create and manipulate graphs and figures in SPSS

  • Execute syntax

  • Use SPSS effectively for manipulating and analysing data.

  • Export the results of your analyses.

  • Learn interpretation of results

  • Learn how to write different research outputs including project reports, case studies, evidence briefs, policy briefs, posters among other outputs

TOPICS TO BE COVERED

Module 1: Introduction to research

Basic statistical terms and concepts

  • Introduction to research

  • Introduction to statistical concepts

  • Descriptive Statistics

  • Inferential statistics

Research Design

  • The role and purpose of research design

  • Types of research designs

  • The research process

  • The survey process

  • Survey design

  • Sampling techniques and sample size determination

  • Developing research protocol

Module 2: Research Approaches

  • Quantitative Research Approaches

  • Qualitative Research Approaches

Data Collection Methods in Research

  • Quantitative data collection methods- Developing of quantitative data collections tools in paper

  • Qualitative data collection- Developing qualitative data collection tool

  • Developing research protocol

Module 3: Mobile Data Collection and Processing using open data kit (ODK)

  • Introduction to mobile data gathering

  • Designing a questionnaire in ODK

  • Design of survey forms using ODK build and XLS Form

  • Use ODK collect to gather data

  • Use ODK aggregate to upload data to the server

  • Download data for data analysis

  • Exporting data to SPSS

Module 4: Introduction to SPSS statistical software

  • SPSS interface and features (Data editor, syntax, output, chart editor etc)

  • Data file preparation, cleaning, sorting, coding, recoding, missing values)

  • Data entry into SPSS

  • Data manipulation: merge files, spit files, sorting files, missing values

Basic Statistics using SPSS

  • Descriptive statistics for numeric variables and categorical variables

  • Frequency tables

  • Distribution and relationship of variables

  • Cross tabulations of categorical variables

Module 5: Statistical Tests using SPSS

  • One Sample T Test

  • Independent Samples T Test

  • Paired Samples T Test

  • One-Way ANOVA

Statistical Associations in SPSS

  • Chi-Square test

  • Pearson's Correlation

  • Spearman's Rank-Order Correlation

Module 6: Regression analysis using SPSS

  • Assumptions of selected types of regression

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

  • GLM Model

  • The Problems with regression

  • Linear Regression

  • Multiple Regression

Module 7: Other types of regression analysis

  • Logistic Regression (Probit, logit regressions)

  • Ordinal Regression

  • Poison regressions

  • Multinomial logit/probit regression

Module 8: Report writing

  • Survey report format

  • Survey report content

  • Use of survey findings for decision making

Module 9: Writing case study,

  • What is a case?

  • Structure of a case?

  • Case writing guidelines?

  • Case selection?

Elements of a good case

  • Simplifying writing

  • Good writing

  • Easy-to-read writing

  • Four ways to start writing

  • Writing sample cases

Module 10: Writing a policy brief

  • What is a policy brief

  • Purpose of policy brief

  • Characteristics of good policy briefs

  • Structural guidelines for presentation

  • Key elements of a policy brief

  • Technical guidelines for presentation of policy briefs


 

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) or Email: [email protected]

REQUIREMENTS

Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE

Cost:

In-person USD 1600

Online USD 1440


 

Registration

July in-person/online

August in-person/online

September in-person/online

Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to [email protected]

For any registration of 3 or more participants; we offer a discount of up to 10%.

 

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.

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 Limited bank 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.

Visit our website for more details


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Registration Fees
Available
Registration Fees Details
USD 1600 USD 1540
Registration Ways
Email
Phone
Website
Address/Venue
  FineResults Research Services Training Center 
Official Email ID
Contact
FINEResults Research Services

[email protected]

   +254 759 285 295