Survey Analysis

EHQ Survey Analysis is built to help you explore survey data and draw out valuable insights.

There are 3 types of survey analysis available. These include;

  • Filtering: Allows you to narrow your inquiry to look at something specific
  • Comparing: Allows you to compare variable side by side
  • Cross Tabular: Allows you to filter and compare in a single query

To access the tool, go to the Analytics section of EHQ, and click on Survey Analysis.

This will open the Survey Analysis tool.

Next you will need to select the analysis option you wish to apply. 

Below, we explain how to use each analysis option as well as providing some considerations for using each option.

Filtering

Filtering allows you to narrow your query by selecting a range of variables to filter your results.

When to use it:

  • If you want to see how a particular demographic answered your survey (you must build these questions into your survey from the beginning)
  • Explore how participants who answered a certain way on one question responded to all other questions. ie. How did all of the people who reported being satisfied with the planned traffic changes answer other questions?

What logic is used?

Filtering responses uses the AND logic to narrow responses. 

For example, a filter to look for females AND aged 20-30 AND who live in Bangalore AND who have pets, will display results that satisfy all of these conditions.

To begin, select Filter responses from the first dropdown box at the top. 

Ensure that the correct survey is selected from the second dropdown menu.

Next, select all the variables you would like to use to refine and narrow your query.

You will notice that you can only select quantitative questions to use as filters and you can choose from survey questions as well as sign up form questions to filter your results.

Make sure you select as many filters as apply.

After you have selected a question, next you will need to select a response to that question. Click Apply to add the filter to your query.

You can keep track of the filters which you have applied by viewing the Filers Applied strip underneath the dropdown menus.

Add further variables by repeating the process or remove unneeded filters by clicking on the ‘x’, next to the filter applied. 

Use the Clear button, to remove all the filters applied.

Once the filter is applied the new responses are displayed on the screen.

The filter and the number of responses skipped will be displayed at the bottom of each survey question.

Comparing responses

Comparing responses allows you to compare two or more variables side by side.

When to use it:

  • If you want to compare how a particular demographic answered your survey side by side (you must build these questions into your survey from the beginning). ie. Show me a comparison of how all the men and women answered by survey questions.

What logic is used?

Comparing responses uses the AND logic to compare different variables from within the same survey question. 

For example, when comparing answers based on gender, the AND logic is used to say show me the male AND female responses side by side.

To begin, select Compare responses from the first dropdown box at the top. 

Select the question you would like to use for your comparison.

Again, this might be a survey question or a sign up form question.

Select the variable which you would like to compare and click Apply.

Your survey report will now show a comparison of the variables you have selected.

In the example below, you can see how male and female respondents answered the question, “when were you born?”. 

For text responses the comparison will be made using a tabbed structure.

Below you can see and example of how people from Victoria and Brisbane answered the question “Do you have any comments about the conference program or experience?” 

Cross tab analysis

Cross tab analysis allows you to filter and compare your results in a single query.

When to use it:

  • If you want to see how a particular demographic answered your survey and compare it against a range of options (you must build these questions into your survey from the beginning). ie. Show me all of the answers from people born in 1970-79 and compare how males and females responded.
  • Anytime you wish to filter by a variable or question and then compare responses from another.  ie. Show me all of the responses from people who were dissatisfied and display them by comparing business owners and workers.

What logic is used?

Cross-tab Analysis uses the AND/OR logic to display responses. 

For example, AND logic is used to combine the filtering and comparison queries and the OR logic is used to tell the system to display results for Male or Female respondents.

To begin, select Cross-tab Analysis from the first dropdown box at the top. 

First, select the question and variables you would like to use as your filter and click Apply.

Next, chose a question which you would like to use as a way of comparing responses. Click Apply.

Your results will now display a cross tab analysis with the variables you selected.

In the example below we can now see that for people born in 1970-79, people who lived in Futurama felt very safe and people who lived in Back to the Future Town felt very unsafe.

Simply repeat this process or run another query.

What else can I do with Survey Analysis?

Use the legend next to each graph to change the way the graphs display.

If you change the on screen display, this will also be reflected if you choose to download the graph image or a survey report.

You can download each chart individually by clicking on the icon on the left hand side and selecting the file type which you want to export. 

Choose from PNG, JPEG, PDF and SVG Vector images.


When using cross-tab analysis use expanded view to see answers side by side instead of on the same line.

 
Published Date: 12 December 2018 Last modified on July 31, 2019

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