Research Design Data Management and Statistical Analysis using SPSS Training

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

Date                                                               Event

19th to 30th April 2021                             Research Design Data Management and Statistical Analysis using SPSS

17th to 28th July 2021                                 Research Design Data Management and Statistical Analysis using SPSS

7th to 18th June 2021                                  Research Design Data Management and Statistical Analysis using SPSS

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 1600

Contact us: email: [email protected] or Cell phone (+254 759 285 295)

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

The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

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

VIEW RELATED COURSES

• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata

THE MOST POPULAR COURSES

• GIS using ArcGIS Desktop
• Effective Project Proposal and Report Writing
• Agriculture, Innovation and Technology for Sustainable Development
• Scientific Writing: Preparing a Manuscript for Publication in International Journals
• Effective B2B & Trade Marketing Strategies
• Accounting & Finance for Non-Financial Professionals using QuickBooks
• Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
• Collection and management of Research data using ODK and Kobo Toolbox
• Developing and Leading High Performing Teams  

Send proof of payment to [email protected]

View our Research Institute courses

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

Click here now to Register.

For further inquiries email [email protected] or contact us on Tel: +254 759 285 295