Ranking Questions 101
What are Ranking Questions?
With ranking questions, respondents will have the option of re-ordering the options into the desired order and then submit the reordered list as one response in response to the ranking questions. This is helpful in use-cases where stack ranking is needed on a set of subjects and objects. Unlike other types of evaluation questions, ranking and sorting questions help to measure and compare multiple objects on a single scale.
Ranking questions are sometimes also referred to as sorting and ladder questions.
Now, let's dive to see in detail.
What is the difference between a rating and a ranking?
Let’s take IMDB as an example.
A rating is a comparison based on quality or opinion. So, for example, if we are talking about a movie, the rating would be based on quality and type of movie (horror, comedy, etc.). Rating and ranking are often used interchangeably.
A ranking is a comparison based on placement. For example, if we are talking about the top 50 movies in IMDb, the ranking is by IMDb's user votes and would be based on popularity.
What are some good ranking question examples?
How to create a Ranking Question using BlockSurvey?
When you select a ranking question for the first time, you may go clueless. Of course, some people may be aware of its use. We are trying to help people here who remain clueless.
To create a ranking question - Go to ‘Design’ in BlockSurvey Builder and select ranking question type as shown in the sample screenshot below.
Suppose you have a question in your survey to rank the result based on birth date in ascending order. Let us say you have 3 options. Option 1 is Elon Musk, Option 2 is Steve Jobs and Option 3 is Abraham Lincoln.
This is how the question looks like.
To rank the options you have to place the mouse cursor over the option, you will get a sizer pointer.
Now you can drag and drop the options and place them in the right order. You will see the below result after drag and drop.
Want to play with the ranking question live? Try here 👇 https://blocksurvey.io/templates/blocksurvey-features/ranking-or-sorting-question
How to analyze Ranking questionsresults?
Ranking questions (or sorting questions, laddering questions) measure the overall preference of each choice. The choice with the highest average ranking is the most popular choice. Ranking questions are the most favorite and adopted question types to measure the average ranking of a particular choice.
How is the ranking calculated?
Let us now find how ranking is measured or calculated. w is the weight of the ranked position ( Default weights cannot be changed) and x is the response count of the selected choice. Weights are applied in reverse position. The respondent’s most selected choice has the largest weight. Respondents least selected choice has a weight of 1.
Let us say for a ranking question with 5 answers, the below weights are assigned.
The average ranking is calculated as follows, where:
Weight of 5 for 1st ranked choice
Weight of 4 for 2nd ranked choice
Weight of 3 for 3rd ranked choice
Weight of 2 for 4th ranked choice
Weight of 1 for 5th ranked choice
Weights are applied in this way to the data presented on a chart. It will be clear to determine preferred answer choice by assigning weights.
What are some ranking limitations?
Given the popular usage of the ranking question, there are some limitations in ranking. In our ascending birth date example, the top 2 results are “Abraham Lincoln” and “Steve Jobs” are the top 2 personalities. Still, the distance in age between the 2 personalities is an unknown variable. The birth date may be like “Steve Jobs” born 100 years later compared to “Abraham Lincoln”. This crucial data point is missing in ranking questions.
Another limitation of ranking questions is respondents may be prone to survey fatigue given the long list of choices to rank.
That's the whole summary of Ranking question. If you would like to get started with Ranking Questions. Give BlockSurvey a try. All right! Now that we learned how to use the ranking option, let us use the option in our surveys to make surveys more fun and meaningful. If you like this blog, please do share it with your friends who may find this useful.