Research Design, Data Management and Statistical Analysis using SPSS

Training Course on 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

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
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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: +254 732 776 700 or +254 759 285 295. You can also email us on: training@fineresultsresearch.org

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: +254 732 776 700/+254 759 285 295 or Email: training@fineresultsresearch.org

Date: 16 May 2022 to 27 May 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 1,600, Ksh 120,000

Date: 18 July 2022 to 29 July 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 1,600, Ksh 120,000

Date: 19 September 2022 to 30 September 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 1,600, Ksh 120,000

Date: 14 November 2022 to 25 November 2022
Time: 09:00 - 17:00
Venue: Fahari Palace Apartments, along Church Road, Nairobi Kenya, Nairobi
Cost: $ 1,600, Ksh 120,000

Contact: Joy Nyongesa
Company name: FineResults Research Services
Telephone number: +254 732 776 700 / +254 759 285 295
Email address gro.hcraeserstluserenif@gniniart

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