SPSS for healthcare and life science statistics
- 1.5 hours on-demand video
- 3 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- Be familiar with the SPSS user interface
Be able to import research data
Conduct descriptive statistical analysis
- Create figures, plots, and graphs from data
- Compare numerical data point values between categorical groups
- Conduct tests for categorical variables
- Students who enroll in this course should have access to a computer that runs a copy of IBM's SPSS Statistics software. Only a very basic understanding of statistics is required.
If you want to analyze your own data or need to work in a research team that uses IBM's SPSS software, then this course is for you.
From the import of data, through descriptive statistics, data visualization, correlation, the comparison of means, and the analysis of categorical variables, this course will leave you familiar with the user interface and able to conduct all of the most common statistical tests.
- Professionals and students in healthcare and life science.
A warm welcome from me to this course on using SPSS for healthcare and life science statistics. I hope to empower you to do your own statistical analysis or be comfortable working in a team that uses SPSS, still the most widely used statistical software package for healthcare in the world.
In this section we will take a look at importing data and we will conduct a variety of descriptive statistical analysis.
In the analysis of data, the first step is to calculate measures of central tendency and dispersion. The mean, median, and mode are common point estimates (measures of central tendency). Standard deviation, variance, range, and quantiles are common measures of dispersion.
These values summarize our data and makes it easier to interpret.
This section is all about learning the details of your dataset through visualization.
The visualization of data is another important first step in analyzing data. As humans, we get a better understanding of our data when it is visualized. It is indeed much better than staring at columns of numbers.
SPSS can generate almost all of the graphs, plots, and figures that you will ever need. While the default settings are not the most pleasing, rest assured that you can change all the aspect of your graphs.
Histograms are frequency charts. It divides the range of data points values for a numerical variable into equally-sized bins and counts the occurrence of values in each of these bins.
In this video we look at how to conduct a correlation test when the assumptions in the previous video are met.
This section leaves numerical variables behind and looks at the common tests for categorical variables.