If you would not describe yourself as a numbers person or a data lover, learning how to use analytics tools may seem daunting. However, with the VitaNavis® Analytics tool and our step-by-step tutorial, we can help you master this tool and utilize data analytics to the fullest.
Craig Johnson, our Director of Data Science, says “most assessment companies make getting access to that data difficult and expensive. We wanted to change that which is why we built VitaNavis Analytics!” VitaNavis Analytics helps remove barriers allowing to monitor usage, examine aggregated assessment results, and provide data for planning initiatives. You already have access to the analytics feature through your Administration tab in your account.
Out of the many features that VitaNavis Analytics provides, we will focus on three areas that we want you to learn and take advantage of:
- Superstrong Reporting
- Filtering Features
- Download Features
This section analyzes information about your students and their SuperStrong results. If you are using Classrooms, the main difference is that this report shows you aggregate insights rather than individualized data. Whether you have administered the assessment to a class size of 30 or a first-year undergraduate class of 700, the results are extremely interesting to analyze and implement into future planning. (Watch tutorial 3:45 – 5:45)
The graphs included in this section are:
- General Occupational Themes (GOTs)
- Basic Interest Scales (BISs)
- Personal Styles Scales (PSSs)
- Basic Interest Scales Agreement
The General Occupational Themes consist of the six different RIASEC themes. You can see your classroom or cohort breakdown in an easy-to-read graph:
The Basic Interest Scales graph provides greater granularity into aggregated student interests. For instance, within the “Social” RIASEC theme, you can assess which career pathways are most popular such as counseling and helping, healthcare services, and human resources and training. This information can be beneficial for schools and counselors in planning for future classes or career events. For example, if there is an abnormally high interest in the healthcare services career pathway, administrators can use this data to plan for extra funding for more class offerings.
The Personal Style Scales section is especially important for faculty to assess what kind of learning environment students will thrive and succeed in. For example, work style indicates whether students prefer to work alone or with others. With this information in the aggregate, faculty can make more informed decisions as to what types of classes to offer, such as more lecture-based courses, lab courses, or both.
The Basic Interest Scale Agreement looks at student responses to their results to measure the validity of the SuperSrong assessment. This graph will show you a high-level overview of how much your students agree with their results (such as when they indicated “agree”, “disagree”, or “unsure” after completing the assessment).
Each chart includes a default filtering system that aggregates all of your data. You can have some fun with it such as: set a specific date, a particular access code, compare ages or locations, or all of the above!
Here are the different filtering features you need to know about:
Creating new filters (Watch the tutorial 6:55-11:14)
Identify data you would like to view and compare the relationship with. Sort through:
- Access code
- Age range
Aggregate your data
- Select the grouping you want
Filtered Results (Watch tutorial 11:15 – 12:50)
Some interactive functions are still available here – colored data and percentages of results show when you hover your mouse over the data. You can also download your data (see “Download Features”)!
Saving Filters (Watch tutorial 12:51-14:25)
You can save all your premade filters so you can eliminate the hassle of selecting all the different variables you want to compare.
Are you so excited about saving your filters you’re a little worried you’ll meet the maximum? Well don’t fret, there are no limits to saving filters! Filter away.
Setting a Default Filter (Watch tutorial 14:26-15:21)
If you have a favorite filter, you can set it as your default! We like to customize that way.
Lastly, after all of your hard work with analyzing and filtering data, you’re going to want to present your findings to your boss or your colleagues. You can easily download your data into an Excel sheet and turn the tabular format into any graph that will create the best visualization of your data. (Watch tutorial 12:02-12:40).
There are many more features in Analytics, with even more in the works by our development team. Do you have an idea for specific reporting you’d like to see? Contact us and let us know!