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Close-ended questions allow you to create surveys that are easy to answer for respondents. In turn, it will be easier for you to collect quantitative data and conduct statistical analysis on any particular aspect you want to study.
Unlike open-ended questions, these questions only require a one-word answer or a selection from a pre-determined list of answer choices. They're easy, quick, and extremely useful when you want to collect data on a large scale.
Still, these questions require careful analysis and have certain limitations you should consider. In this guide, we will explore the different types of close-ended questions, some examples for each category, and the pros and cons of close-ended questions from a marketing perspective.
Close-ended questions offer survey respondents a predetermined list of answers to choose from. Usually, a customer answers these questions with a single-word answer, such as "yes/no" "true/false" or "agree or disagree."
Closed-ended questions are designed to gather survey responses that are easy to quantify and analyze. For example, asking your customers, "Do you like Product A?" and offering a simple "yes" or "no" selection gives you an easy method to see how many customers like your product.
A closed-ended question is structured so that the respondent can choose from a list of options, making them particularly useful for efficient and simple quantitative analysis.
An open-ended question, on the other hand, allows respondents to answer freely in their own words, offering richer, more detailed insights. These questions are invaluable in collecting qualitative data where depth, detail, and the exploration of new ideas are essential.
Here are the key differences between close-ended questions and open-ended questions at a glance:
Open-Ended Question | Closed-Ended Question |
Allows participants to answer in their own words | Limited and pre-determined answer choices |
Focuses on collecting qualitative data | Collects quantitative data |
Requires more time to answer | Easy to answer |
Responses may be tedious to analyze | Provides easily quantifiable data |
Open-ended questions and closed-ended questions have their unique pros and cons. Deciding which type you should use will depend on several factors, such as:
Based on these factors, asking closed-ended questions is best applicable when:
Quantitative data collection aims to gather measurable, numerical insights. Closed-ended questions are perfect for this task because they provide structured responses that you can easily count and analyze, which is why we use them as the foundation of statistical analysis techniques applied to surveys.
Whether it's tallying yes/no responses or aggregating ratings on a scale, these questions convert subjective opinions into objective numbers, making it straightforward to quantify trends, preferences, and behaviors.
When conducting surveys, especially those targeting a broad audience, efficiency and scalability are key. Closed-ended questions allow respondents to choose from a set of predefined answers quickly, significantly reducing the time and effort required to complete the survey.
This factor is crucial for achieving a high response rate in large-scale surveys, as participants are more likely to complete the survey if it's perceived as quick and straightforward.
In some market research scenarios, you might be seeking information that falls within specific parameters or looking to validate a hypothesis. Closed-ended questions help you direct the focus of your survey to the precise data points you're interested in.
For example, a company wants to determine how much their customers spend on groceries monthly. Instead of letting participants answer freely, the survey will offer a set of fixed responses to keep the data simple:
By limiting responses to a predefined set of options, you can ensure that the collected data is directly relevant to your research questions, making it easier to draw meaningful conclusions.
It's important to understand that people are busy, and most individuals will rarely take the time to answer a complicated survey.
With that in mind, you want to use closed-ended questions to make surveys more user-friendly. These questions eliminate the need for respondents to formulate their own answers, which can sometimes be a barrier to participation, especially for those who may find open-ended questions daunting or time-consuming.
Close-ended questions fall into five main categories, including dichotomous questions, multiple choice questions, rating scale questions, ranking order questions, and checklist-style questions. Let's elaborate on each question type and explore several examples:
Dichotomous questions are a subset of closed-ended questions where respondents are given two mutually exclusive options to choose from, typically "Yes" or "No", "True" or "False", or any other pair of opposite answers.
These questions are designed to elicit a clear, concise response, making them incredibly useful for surveys and research that require straightforward, binary quantifiable data. Include this type of question in your survey in situations where you need a clear distinction between two categories of responses for data analysis.
Examples of closed-ended dichotomous questions include:
Multiple-choice questions provide respondents with several options to choose from. Unlike dichotomous questions, which offer only two choices, these questions present a wider range of answers, typically three or more.
The options for multiple-choice questions usually represent different categories or preferences. This format allows for more nuanced data collection by capturing a variety of responses that can reflect differing opinions, behaviors, or characteristics among the participants.
Rating scale questions ask respondents to rate a particular item, experience, or service on a predefined scale. These scales can vary in range, typically from 3 to 10 points, with each point on the scale representing a level of agreement, frequency, quality, or satisfaction.
Rating scales are highly versatile and can be customized to measure various factors such as importance, likelihood, satisfaction, and performance. They provide quantitative data that may be more meaningful than dichotomous or multiple-choice questions, allowing for a detailed analysis of opinions and behaviors.
Ranking order questions ask respondents to arrange a list of items in a specific order based on their preference, importance, satisfaction, or any other criteria specified by the question.
This type of question can help you understand priorities and preferences among a set of options, as it forces respondents to make choices that reveal the relative importance or appeal of each item. Like rating scale questions, rank order questions are particularly useful for collecting customer feedback.
Checklist-style questions are a form of survey question where respondents are presented with a list of answer options and asked to select all that apply to them.
Unlike ranking or rating questions, checklist-style questions do not require respondents to evaluate or prioritize the options. Instead, these questions are used to gather data on the presence or absence of certain attributes, behaviors, preferences, or experiences among a population. They are particularly useful for identifying patterns, trends, or similarities within a group.
At a glance, using close-ended questions is an easy and quick way to gather quantifiable data. Plus, there are plenty of scenarios where they are more applicable than open-ended questions. However, there are still drawbacks to this type of survey question.
Close-ended survey questions are an essential tool for gaining direct insight into specific aspects that you want to study, such as customer preferences and backgrounds. Still, it's crucial to understand that limiting possible answers can make survey findings less meaningful if you do it in scenarios where you should be asking open-ended questions.
Use this guide to create surveys that align with your research objectives and gather more valuable insights. For customer feedback or website user research, use FullSession to make data collection easier.
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While versatile, they are best suited for quantitative research and situations where specific, comparable data is required.
Keep them clear and concise, and ensure the response options cover all likely answers without overlapping.
They can be, especially if the response options are leading or limiting. It's crucial to design them with care to minimize bias.