About Course
This comprehensive course, “Mastering Medical Data Analysis with SPSS”, is designed to equip researchers and healthcare professionals with essential skills in data analysis using SPSS, a leading statistical software. Based on the curriculum from Kent State University, this course covers everything from basic software setup to advanced statistical tests commonly used in medical research.
You will start by learning how to install, activate, and navigate the SPSS environment, including working with data and variables. As you progress, the course will dive into the basics of Excel, guiding you through importing, cleaning, and managing data for analysis. You’ll also learn how to enter data from questionnaires and understand the different types of questions and variables used in medical surveys.
In the later modules, you’ll explore a wide range of statistical tests, including descriptive statistics and inferential tests like Chi-square, Pearson correlation, and T-tests. The course offers practical instruction on how to interpret data through graphs, tables, and statistical reports, as well as how to edit these outputs in SPSS, Excel, and MS Word.
By the end of this course, you will have the skills to confidently analyze medical research data, interpret results, and apply appropriate statistical methods to improve the quality of your research. Whether you are a student, researcher, or healthcare professional, this course will provide you with a solid foundation in SPSS data analysis, enabling you to make data-driven decisions in medical research.
Benefits of the course
- By the end of this course, you will be able to:
- Navigate SPSS – Install, activate, and confidently work within the SPSS environment, mastering its tools and features.
- Manage Data Effectively – Import, clean, and manage datasets from Excel, ensuring accurate and organized data for analysis.
- Define and Handle Variables – Understand variable types, enter and modify variables, and handle various forms of data such as single-answer and multiple-answer questionnaire responses.
- Conduct Descriptive Analysis – Perform descriptive statistics, create frequency tables, and generate visual data representations such as pie charts and bar graphs.
- Perform Statistical Tests – Learn to apply advanced statistical tests including Chi-square, Pearson correlation, and T-tests to medical research data.
- Interpret P-values and Results – Gain a thorough understanding of inferential statistics and how to interpret key outputs like P-values and correlation coefficients.
- Edit Tables and Graphs – Master the skills to edit statistical outputs such as tables and graphs using SPSS, Excel, and MS Word, ensuring professional presentation of your results.
- Analyze Medical Research Data – Confidently conduct and interpret data analysis for medical research, enabling you to make data-driven decisions and improve the quality of your research projects.
Course Content
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Install and Activate SPSS, Get to Know Each Other
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Assigment 1
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Dealing with Data
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Assigment 2
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Descriptive Statistics: How to Describe Your Data (Part 1)
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Descriptive Statistics: How to Describe Your Data (Part 2)
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Descriptive Statistics: How to Describe Your Data (Part 3)
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Assigment 3
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Inferential Statistics: How to Interpret Your Data (Part 1)
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Inferential Statistics: How to Interpret Your Data (Part 2)
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Inferential Statistics: How to Interpret Your Data (Part 3)
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Assigment 4
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Dealing with Google Forms
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Assigment 5
Mastering Medical Data Analysis with SPSS: A Comprehensive Guide for Researchers
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