製品

SurveyMonkeyは、あらゆる用途・ニーズに対応します。SurveyMonkeyを探索して、その活用方法をご確認ください。

一流のオンラインアンケートでデータに基づいた洞察を得る。

主要な機能と高度なツールを1つのパワフルなプラットフォームでご利用ください。

オンラインフォームを作成・カスタマイズして情報と代金の収集。

100種類以上のアプリとプラグインを統合して作業を効率化。

あらゆる市場調査ニーズに対応する専用ソリューション。

組み込みAIで優れたアンケートを作成し、すばやくインサイトを引き出しましょう。

テンプレート

顧客満足度とロイヤルティを測定。

どうすれば顧客が満足し、推奨者になってくれるかを学ぶ。

実用的なインサイトを得てユーザー体験を改善。

見込み客や招待客などから連絡先情報を収集。

次回イベントの返信依頼を簡単に収集・追跡。

参加者のニーズを調べ、次回のイベントを改善する。

エンゲージメントや業績を高めるためのインサイトを発見。

会議の出席者からフィードバックを得て、進め方を改善。

同僚からのフィードバックを利用して従業員パフォーマンスを改善。

コースの充実化と指導法の改善を図る。

教材やプレゼンテーションに関する学生の評価を調べる。

新製品のアイデアに対する顧客の考えを調べる。

活用方法・事例

アンケート・アンケートデータ活用のベストプラクティス

アンケートやビジネスのコツを満載したSurveyMonkeyブログ。

SurveyMonkeyのチュートリアル&使い方ガイド。

SurveyMonkeyで急成長する一流ブランド。

お問い合わせログイン
お問い合わせログイン

How to use an ordinal scale to organize your survey questions

How to use an ordinal scale to organize your survey questions

Receiving actionable data based on people’s attitudes can be challenging. After all, measures of attitude are complex, and more often than not, highly subjective. Luckily, you can use an ordinal scale in your survey to collect useful data about your respondents’ opinions, perceptions, performance, and sentiments. The straightforward ordinal scale is a down-to-earth way to approach abstract questions in your surveys.

An ordinal or “ordered” scale allows you to evaluate a respondent’s attitude towards a subject by using a set of ordered responses. For example, responses can include: “very satisfied,” “satisfied,” “dissatisfied,” and “very dissatisfied.” In an ordinal scale, the order of answer options is what’s significant—you can’t quantify the exact difference between each answer option. The difference between responses like “very satisfied” and “satisfied,” for example, is relative, not exact.

Most of us have plenty of real-life experience with ordinal scales. Ordinal scales can help you do things like:

  • Understand nuanced opinions. Do respondents “agree” or “strongly agree” with a stance on an issue?
  • Uncover perceptions. Do respondents find a particular statement “false,” “mostly false,” “mostly true,” or “true”?
  • Measure relative performance. Is a certain employee “more productive,” “just as productive,” or “less productive” than other employees?
  • Gauge sentiment. Is a customer “very satisfied,” “satisfied,” “dissatisfied,” or “very dissatisfied” with a recent purchase?

As you can tell, the ordinal scale works across a variety of use cases. But what does it look like when it’s in use?

While not all ordinal scales are Likert scales like the ones above (or Likert-type scales if you want to get technical) all Likert scales are ordinal. This popular form of survey question offers respondents an ordered range of answers from one extreme to another. Take, for example, these questions from our Employee Satisfaction Survey Template:

How meaningful is your work?

  • Extremely meaningful
  • Very meaningful
  • Moderately meaningful
  • Slightly meaningful
  • Not at all meaningful

How challenging is your job?

  • Extremely challenging
  • Very challenging
  • Moderately challenging
  • Slightly challenging
  • Not at all challenging

These Likert scale questions measure each employee’s perception of the work they do using various ordinal, i.e. ordered, scales. Other Likert scale questions measure sentiment with a balance of positive, negative, and neutral answers:

Are you satisfied with your employee benefits, neither satisfied nor dissatisfied, or dissatisfied with them?

  • Extremely satisfied
  • Moderately satisfied
  • Slightly satisfied
  • Neither satisfied or dissatisfied
  • Slightly dissatisfied
  • Moderately dissatisfied
  • Extremely dissatisfied

In the Question Bank, you’ll find numerous survey questions that use ordinal scales. But we’ll walk you through how to write them on your own.

Just follow these steps:

1. Identify a focus for your question by deciding which opinion, perception, performance, or sentiment you’d like to collect data on. Decide whether to use a unipolar scale or bipolar scale. Unipolar scales measure the absence or presence of a single item—”not at all interested” to “extremely interested,” for instance. Bipolar scales ask respondents how their attitudes fall on two different sides of neutrality—”strongly disagree” to “strongly agree,” for example.

2. For unipolar questions, decide which single variable—like the level of “meaning” or “challenge”—to include in your scale. For bipolar questions, decide which two opposing variables—like “agree” and “disagree” or “satisfied” and “dissatisfied”—to include in your scale.

3. Create a set of ordered responses using your variable(s). While the difference between responses is always relative in ordinal scales, try to choose options that are somewhat evenly spaced from each other. For bipolar questions, include an equal number of responses for each opposing variable to avoid skewing your results.

If you plan on using the same ordinal scale for multiple survey questions, consider combining them into a single matrix/rating scale question. If you plan on tailoring an ordinal scale to each question, use classic multiple choice questions instead.

Note: Keep in mind that matrix questions can easily become overwhelming to answer. If you decide to use one, limit its size to 5 rows and 5 columns.

For multiple choice questions that use an ordinal scale, you can look at the responses both individually and collectively. In either case, you can easily compare the relative popularity of each choice to identify key takeaways. Matrix/rating scale questions provide a similar level of analysis but also give you the weighted averages from each choice.

Does this level of analysis sound overwhelming? The good news is you don’t have to do it on your own. SurveyMonkey Analyze automatically collects your response data and allows you to create charts and graphs from your closed-ended questions with the click of a button.

So take the time to write survey questions that use an ordinal scale. The responses will help you align with your respondents’ opinions, perceptions, performance, and sentiments.

Femme rousse en train de créer un sondage sur un ordinateur portable

フィードバックを自分の職務や業種で活用するためのツールキットを開拓しましょう。

Un homme et une femme consultant un article sur leur ordinateur portable et prenant des notes sur des post-it

退職面接アンケートで適切な質問をすれば、離職の減少に役立てることができます。従業員フォーム ビルダー ツールとテンプレートを使って今すぐ始めましょう。

Homme souriant portant des lunettes et travaillant sur un ordinateur portable

必要な許可をカスタムの同意フォームで入手しましょう。今すぐ無料で登録して、同意フォームテンプレートをご利用ください。

Femme lisant des informations sur son ordinateur portable

リクエストフォームを簡単に作成・カスタマイズして、従業員や顧客などのリクエストを受け付けましょう。専門家作成のテンプレートで数分で始められます。