Training in Quantitative Data Management, Statistical Analysis & Graphics Using IBM SPSS

Course Description

A lot of research nowadays, is conducted using a mixed methods approach. This translates to massive and volumes of datasets. Making sense of the data without the right research tools is like looking for a needle in a haystack. IBM SPSS (Statistical Package for the Social Sciences) is a powerful program which provides many ways to rapidly examine data and test scientific hunches. SPSS can produce basic descriptive statistics, such as averages and frequencies, as well as advanced tests such as time-series analysis and multivariate analysis. The program is also capable of producing high-quality graphs and tables. Knowing how to make the program work for you now, will make future work in independent research projects and beyond much easier and more sophisticated.

This course aims to provide participants with the strategic understanding and applied skills in planning, conducting, analyzing, and reporting findings from quantitative research. At the end of the course, participants will be able to plan, conduct, and critically assess the quality of the quantitative data gathered during their data collection process. Specifically, participants will learn how to use SPSS in Quantitative Data Analysis.

Target Audience

This course targets research scientists and practitioners with basic knowledge in quantitative research but keen on updating their skills and competence in quantitative data analysis. Beginners as well as specialists in the fields of Social Sciences, Statistics, Project Management, Monitoring and Evaluation, Market Research, Agriculture, Economics, Nutrition, Education, Public Health, Health Economics, Epidemiology, Demography, Population Studies and anyone with an interest in quantitative research will benefit immensely from undertaking the course.

Course Objectives

By the end of this program, participants should be able to:

• Understand the fundamentals of research
• Understand quantitative data collection and analysis methods
• Design both quantitative and qualitative data collection tools
• Understand and appropriately use statistical terms and concepts
• Perform data analysis tasks with SPSS
• Perform simple to complex data management tasks using SPSS
• Correctly identify appropriate statistical test for basic analysis and perform them using SPSS
• Write reports from survey data

Course Content

Introduction to Research

• Introduction to research
• Different types of research
• Formulation of research problem statement
• Formulation of research hypothesis

Overview of Evaluation

• Evaluation Objectives
• Evaluation Criteria
• Evaluation Questions

Research Design

• Quantitative Research Approaches
• Qualitative Research Approaches

Sampling in Research

• Sampling Techniques
• Probability
• Non-probability
• Sample size determination

Data Collection Methods in Research

• Quantitative data collection methods
• Qualitative data collection
• Creating an evaluation framework

Data Collection Tools in Research

• Survey questionnaire design
• FGD / IDI guide design
• KII guide design

Introduction to SPSS

• SPSS interface and features
• Key terminologies used in SPSS
• Views: Variable, Data views, Syntax editor
• Data file preparation
• Data entry in SPSS
• Data manipulation: merge files, spit files, sorting files, missing values

Basic Statistical Terms and Concepts

• Basic data quality checks
• Basic exploratory data analysis procedures
• Basic descriptive statistics
• The core functions of inferential statistics
• Common inferential statistics

Basic Statistics using SPSS

• Descriptive statistics for numeric variables
• Frequency tables
• Distribution and relationship of variables
• Cross tabulations of categorical variables
• Stub and Banner Tables

Graphics using SPSS

• Introduction to graphs in SPSS
• Graph commands in SPSS
• Different types of Graphs in SPSS

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

Predictive Models using SPSS

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

Longitudinal Analysis using SPSS

• Features of Longitudinal Data
• Exploring Longitudinal data
• Longitudinal analysis for continuous outcomes

Report Writing and Dissemination

• Survey report format & content
• Survey findings dissemination
• Translation of evidence into policy – Use of survey findings for decision making

Requirements

Participants should be reasonably proficient in English. Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

NOTE

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees caters for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Participating organizations can therefore claim reimbursement on fee paid in accordance with NITA Rules.

How to Book: Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on: +254720272325 / +254737566961

Payment Options: We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date in order to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request to a minimum of 5 participants. You can have it delivered at our Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254720272325 / +254737566961 or Email training@phoenixtrainingcenter.com

Accommodation: Accommodation is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737566961