**Asked by: Mrs. Maybell Balistreri MD**

Score: 4.1/5 (21 votes)

**Nominal scale** is often used in research surveys and questionnaires where only variable labels hold significance. For instance, a customer survey asking “Which brand of smartphones do you prefer?” Options : “Apple”- 1 , “Samsung”-2, “OnePlus”-3.

## Is a questionnaire ordinal data?

Surveys/Questionnaires

Ordinal data is **used to carry out surveys or questionnaires** due to its “ordered” nature. Statistical analysis is applied to collected responses in order to place respondents into different categories, according to their responses.

## Is a questionnaire nominal or ordinal?

**Nominal scale** is often used in research surveys and questionnaires where only variable labels hold significance.

## Is a yes or no question nominal or ordinal?

In research activities a **YES/NO scale is nominal**. It has no order and there is no distance between YES and NO. There are also highly sophisticated modelling techniques available for nominal data. An ordinal scale is next up the list in terms of power of measurement.

## Are Likert scale questions nominal or ordinal?

The Likert scale is widely used in social work research, and is commonly constructed with four to seven points. It is usually treated as an interval scale, but strictly speaking it is an **ordinal scale**, where arithmetic operations cannot be conducted.

**39 related questions found**

### Is age ordinal or nominal?

Age can **be both nominal and ordinal data** depending on the question types. I.e "How old are you" is used to collect nominal data while "Are you the firstborn or What position are you in your family" is used to collect ordinal data. Age becomes ordinal data when there's some sort of order to it.

### Is age nominal or ordinal in SPSS?

It is important to change it to either nominal or ordinal or keep it as scale depending on the variable the data represents. In fact, the three procedures that follow all provide some of the same statistics. An Example in SPSS: Satisfaction With Health Services, Health, and Age . **Age is classified as nominal data**.

### Is gender ordinal or nominal?

Gender is an example of a **nominal measurement** in which a number (e.g., 1) is used to label one gender, such as males, and a different number (e.g., 2) is used for the other gender, females. Numbers do not mean that one gender is better or worse than the other; they simply are used to classify persons.

### Is GPA ordinal?

Hi Frieder, as a 6-12 former teacher and as a psychometrist, and statistician, the way you operationalize your outcome (GPA) will tell you the type of statistical methods you could use. If looking at letter grades (e.g., A, B, C), then, yes, **your outcome is ordinal**.

### Can nominal data be converted to ordinal?

**A nominal scale cannot be transformed into an ordinal or interval scale**. There is no order in a nominal scale but there is in an ordinal or interval scale. You can go the other way around, i.e., interval or ordinal scale converted to a nominal scale, but you will be throwing information away.

### What is example of ordinal?

Examples of ordinal variables include: ... **socio economic status** (“low income”,”middle income”,”high income”), education level (“high school”,”BS”,”MS”,”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).

### What is an example of a ordinal question?

Examples of ordinal scales

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**? How challenging is your job?

### Is ethnicity nominal or ordinal?

For example, gender and ethnicity are **always nominal level data** because they cannot be ranked. However, for other variables, you can choose the level of measurement.

### Is Likert scale ordinal or nominal in SPSS?

The data produced by Likert type items are, strictly speaking, **ordinal data**. That means that they can tell us how to rank responses (strongly agree is 'more' agreement than agree) , but they do not give us information about the distance between them (strongly agree is not twice as much agreement as agree).

### Is weight nominal or ordinal?

Ratio scales of measurement include properties from all four scales of measurement. The data **is nominal** and defined by an identity, can be classified in order, contains intervals and can be broken down into exact value. Weight, height and distance are all examples of ratio variables.

### What is ordinal scale with example?

An ordinal scale is a scale (of measurement) that uses labels to classify cases (measurements) into ordered classes. ... Some examples of variables that use ordinal scales would be **movie ratings**, political affiliation, military rank, etc. Example. One example of an ordinal scale could be "movie ratings".

### Can you have a 0 GPA?

**The lowest grade you can get, an F, is a 0**. However, while it theoretically is possible to have a GPA of 0, it is impossible to graduate with a 0 GPA as an F means that you don't receive credit for that course and have to repeat it and pass it at a 0.33 or something.

### What's a perfect GPA?

**Unweighted 4.0 GPA** Scale

The unweighted GPA scale is the most commonly used GPA scale. ... Essentially, the highest GPA you can earn is a 4.0, which indicates an A average in all of your classes. A 3.0 would indicate a B average, a 2.0 a C average, a 1.0 a D, and a 0.0 an F.

### Is level of education nominal or ordinal?

**Ordinal** Data Levels of Measurement

Values of ordinal variables have a meaningful order to them. For example, education level (with possible values of high school, undergraduate degree, and graduate degree) would be an ordinal variable.

### Is date an ordinal variable?

They are **ordinal**, as one date is bigger than the date before it. It is also quantitative as it can added, subtracted...etc.

### Is hair color nominal or ordinal?

Hair color is an example of a **nominal level** of measurement. Nominal measures are categorical, and those categories cannot be mathematically ranked. There is no ranking order between hair colors.

### Is blood type nominal or ordinal?

**Nominal** scales name and that is all that they do. Some other examples are sex (male, female), race (black, hispanic, oriental, white, other), political party (democrat, republican, other), blood type (A, B, AB, O), and pregnancy status (pregnant, not pregnant.

### Is eye color ordinal or nominal?

Certainly, eye color is **a nominal variable**, since it is multi-valued (blue, green, brown, grey, pink, black), and there is no clear scale on which to fit the different values.

### What is nominal and ordinal in SPSS?

SPSS measurement levels are **limited to nominal (i.e. categorical)**, ordinal (i.e. ordered like 1st, 2nd, 3rd…), or scale. Essentially, a scale variable is a measurement variable — a variable that has a numeric value. Variables with numeric responses are assigned the scale variable label by default.

### Is age ratio or ordinal?

Age is frequently collected as ratio data, but **can also be collected as ordinal data**. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn't have data on your respondent's individual ages – you'd only know how many were between 18-24, 25-34, etc.

## FAQs

### Are questionnaires nominal or ordinal? ›

**Nominal scaleA Nominal Scale is https://www.questionpro.com › blog › nominal-scale**

**a measurement scale, in which numbers serve as “tags” or “labels” only, to identify or classify an object**. This measurement normally deals only with non-numeric (quantitative) variables or where numbers have no value. Below is an example of Nominal level of measurement.

**Is a questionnaire nominal data? ›**

In fact, **the majority of survey questions are nominal in nature**. That is they are categories with numbers assigned to them to facilitate analysis. In most research courses they are introduced as variables such as eye or hair color, a person's name, or the state they live in.

**Are questions nominal or ordinal? ›**

**Nominal data collection often involves yes/no questions, thumbs up/down, or multiple-choice questions**. Nominal-minded questions are also sometimes open-ended (allowing the person to write in a response). For ordinal questions, most researchers will employ a likert scale, interval scale, rating scale, etc.

**What type of data is a questionnaire ordinal? ›**

Ordinal scales **arrange data in specific orders—that is, in comparison to each other—and assign a rank for each variable**. Likert scale questions, like “rate your satisfaction on a scale of 1 through 5,” are good examples of data that can be plotted on an ordinal scale.

**Are survey questions ordinal? ›**

**Ordinal survey questions** are the ones where the answer options provided are ranked according to their significance or importance depending on the questions.

**What form of data is a questionnaire? ›**

Questionnaires are used to collect both **qualitative and quantitative data** from respondents. It combines different question types like close-ended and open-ended questions that allow you to extract large volumes of data from respondents, even when the researcher isn't available to coordinate data-collection firsthand.

**What level of data is a questionnaire? ›**

The **interval level** focuses on taking a numerical value to find a relationship between the variables in a set of data. For example, a questionnaire or survey that takes into account your annual household income uses the interval level.

**What is an example of ordinal data? ›**

Examples of ordinal variables include: socio economic status (“low income”,”middle income”,”high income”), education level (“high school”,”BS”,”MS”,”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).

**What is an example of a ordinal question? ›**

Examples of ordinal scales

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?** How challenging is your job?

**What are examples of nominal ordinal data? ›**

Ordinal data is data that can be ranked or ordered. Examples include **data taken from a poll or survey**. Nominal data is data that can be made to fit various categories. Examples include whether an animal is a mammal, fish, reptile, amphibian, or bird.

### What type of scale is a questionnaire? ›

One of these types of scales, called the **Likert scale**, is the most popular type of scale. Likert scale questions require survey respondents to select their level of agreement to a statement. For example, response categories may be responses such as 'strongly agree,' 'agree,' 'don't know,' or 'disagree. '

**Is a questionnaire categorical data? ›**

Surveys often comprise tick-box questions where respondents are asked to select one (or potentially more) of a fixed number of possible options resulting in what are referred to statistically as categorical data.

**What is the difference between ordinal and interval questionnaire? ›**

Frequently asked questions about levels of measurement

Nominal: the data can only be categorized. **Ordinal: the data can be categorized and ranked**. Interval: the data can be categorized and ranked, and evenly spaced. Ratio: the data can be categorized, ranked, evenly spaced and has a natural zero.

**Which method of data analysis is used for questionnaire? ›**

**Quantitative analysis** is suggested for data collected through questionnaires.

**What is a real life example of ordinal scale? ›**

Ordinal Scale: **Ranks, customer satisfaction rating and degree, socio-economic status, education qualification**, etc. are examples of the Ordinal Scale.

**What is nominal scale example questionnaire? ›**

Nominal scale is often used in research surveys and questionnaires where only variable labels hold significance. For instance, **a customer survey asking “Which brand of smartphones do you prefer?”** **Options : “Apple”- 1 , “Samsung”-2, “OnePlus”-3**.

**What are the four types of questionnaires? ›**

Questionnaire are of different types as per Paul: 1)**Structured Questionnaire.** **2)Unstructured Questionnaire.** **3)Open ended Questionnaire.** **4)Close ended Questionnaire**.

**What is an example of a nominal data? ›**

Nominal data

Common examples include **male/female (albeit somewhat outdated), hair color, nationalities, names of people**, and so on. In plain English: basically, they're labels (and nominal comes from "name" to help you remember). You have brown hair (or brown eyes). You are American.

**What are 5 examples of nominal variables? ›**

...

Nominal variables.

Mode of transportation for travel to work | Number of people |
---|---|

Car, truck, van as passenger | 923,975 |

Public transit | 1,406,585 |

Walked | 881,085 |

Bicycle | 162,910 |

**What are examples of ordinal and nominal categorical data? ›**

Ordinal categorical data are non-numerical pieces of information with implied order — for example, **survey responses on a scale from very dissatisfied to very satisfied**. And nominal categorical data are non-numerical pieces of information without any inherent order — for example, colors or states.

### What are examples of nominal ordinal and cardinal data? ›

Example With Everything

Car Number "99" (with the yellow roof) is in 1st position: 6 is a Cardinal Number (it tells how many) 1st is an Ordinal Number (it tells position) "99" is a Nominal Number (it is basically just a name for the car)

**What is the best scale to use on a questionnaire? ›**

There's more variance in larger scales, which has made the Likert scale the most common survey scale. Dr. Rob Balon advises to “always use the **1–5 scale**, with 5 being the positive end and 1 being the negative end. NEVER use 1 as the positive end.”

**How do you scale a questionnaire? ›**

**Rating Scales**

- Three-point Scales. Good - Fair – Poor. Agree – Undecided - Disagree. ...
- Five-point Scales (e.g. Likert Scale) Strongly Agree – Agree – Undecided / Neutral - Disagree - Strongly Disagree. ...
- Seven-point Scales. Exceptional – Excellent – Very Good – Good – Fair – Poor – Very Poor.

**What are 3 examples of ordinal numbers? ›**

The numbers **1st (first), 2nd (second), 3rd (third), 4th (fourth), 5th (fifth), 6th (sixth), 7th (seventh), 8th (eighth), 9th (ninth) and 10th (tenth)** tell us about the positions of various floors in the building. Therefore, all of them are the ordinal numbers.

**Is a survey question a variable? ›**

**The answer to each question on the survey forms a variable**. For example, sex is a variable-some individuals in the sample are male and some are female. Age is a variable; individuals vary in their ages. Looking at variables one at a time is called univariate analysis.

**Is survey data categorical or numerical? ›**

Surveys are the most common data collection method used by researchers. It can be designed to gather **categorical data and numerical data**. You can either ask your participants to answer with yes/no or use Likert scale questions to gather numerical data.

**What are the two types of questionnaire in statistics? ›**

Your survey design depends on the type of information you need to collect from respondents. Qualitative questionnaires are used when there is a need to collect exploratory information to help prove or disprove a hypothesis. Quantitative questionnaires are used to validate or test a previously generated hypothesis.

**How do you tell the difference between nominal and ordinal? ›**

**Nominal data is classified without a natural order or rank, whereas ordinal data has a predetermined or natural order**. On the other hand, numerical or quantitative data will always be a number that can be measured.

**What are 3 examples of nominal data? ›**

Nominal data

Common examples include **male/female (albeit somewhat outdated), hair color, nationalities, names of people**, and so on.

**What is considered nominal data? ›**

Nominal data is **data that can be labelled or classified into mutually exclusive categories within a variable**. These categories cannot be ordered in a meaningful way. For example, for the nominal variable of preferred mode of transportation, you may have the categories of car, bus, train, tram or bicycle.

### What is nominal scale in questionnaire? ›

A Nominal Scale is **a measurement scale, in which numbers serve as “tags” or “labels” only, to identify or classify an object**. This measurement normally deals only with non-numeric (quantitative) variables or where numbers have no value.

**What is the difference between nominal and ordinal? ›**

**Nominal: Used to categorize data into mutually exclusive categories or groups.** **Ordinal: Used to measure variables in a natural order, such as rating or ranking**. They provide meaningful insights into attitudes, preferences, and behaviors by understanding the order of responses.

**What is the difference between nominal and ordinal data? ›**

**Nominal data is classified without a natural order or rank, whereas ordinal data has a predetermined or natural order**. On the other hand, numerical or quantitative data will always be a number that can be measured.

**What is an example of a nominal categorical data? ›**

Examples of nominal data include **name, hair colour, sex** etc. Mostly collected using surveys or questionnaires, this data type is descriptive, as it sometimes allows respondents the freedom to type in responses.

**Is Likert scale data nominal or ordinal? ›**

Developed in 1932 by Rensis Likert^{1} to measure attitudes, the typical Likert scale is a 5- or 7-point **ordinal** scale used by respondents to rate the degree to which they agree or disagree with a statement (table).

**Are yes and no questions nominal or ordinal? ›**

Any question on a survey that has yes or no as a possible response is **nominal**, and so binomial statistics will be applied whenever a single yes/no question serves as the dependent variable or one of the dependent variables in an analysis.