![]() ![]() A nominal variable is qualitative, which means numbers are used here only to categorize or identify objects.For example, gender is a nominal variable that can take responses male/female, which are the categories the nominal variable is divided into. The responses to a nominal variable can be divided into two or more categories.Therefore, a nominal variable can be classified as either numeric or not. Some of thee numeric nominal variables are phone numbers, student numbers, etc. Nominal variables are sometimes numeric but do not possess numerical characteristics. Nominal Variable Classification Based on Numeric Property How do you think we can improve our service? A closed-ended approach to the question asked above will be Unlike open-ended, this technique collects data from the questionnaire’s point of view, thereby limiting the respondent’s freedom. Questionnaires give predefined options for the respondent to choose from. This technique restricts the kind of response a respondent can give to the questions asked. For example, an organization who wants to receive feedback from its customers may ask, “How do you think we can improve our service?”-where the question asked is the nominal variable. This technique is used to collect detailed and descriptive information. They are allowed to freely express their emotions. The open-ended technique gives respondents the freedom to respond the way they like. The respondents are either asked, open-ended or closed-ended. It doesn’t matter which method is used for data collection, one thing is however common to these methods-they are implemented using questions. Some of these methods include surveys, questionnaires, interviews, etc. There are different methods of collecting nominal variables, which may vary according to the purpose of collecting nominal data in the first place. Nominal Variable Classification Based on Collection Technique However, we can classify them into different types based on some factors. We will be considering 2 factors in this case, namely collection technique and numeric property. In statistics, there is no standard classification of nominal variables into types. Some examples of nominal variables include gender, Name, phone, etc. are being collected.Ī nominal variable is one of the 2 types of categorical variables and is the simplest among all the measurement variables. This is the case when a person’s phone number, National Identification Number postal code, etc. You can code nominal variables with numbers, but the order is arbitrary and arithmetic operations cannot be performed on the numbers. It takes qualitative values representing different categories, and there is no intrinsic ordering of these categories. Types of Measurement Variables Nominal VariableĪ nominal variable is a type of variable that is used to name, label or categorize particular attributes that are being measured. Measurement variables are categorized into four types, namely nominal, ordinal, interval and ratio variables. How we measure variables are called scale of measurements, and it affects the type of analytical techniques that can be used on the data, and conclusions that can be drawn from it. Statistical variables can be measured using measurement instruments, algorithms, or even human discretion. Unlike in mathematics, measurement variables can not only take quantitative values but can also take qualitative values in statistics. ![]() It is commonly used for scientific research purposes. ![]() What is a Measurement Variable?Ī measurement variable is an unknown attribute that measures a particular entity and can take one or more values. Although it also slightly intersects with algebraic meaning, its uses and definition differ greatly. However, variables have a slightly different meaning and use in statistics. This meaning is what is adopted in computer science, where it is used to define values when writing in various computer programming languages. In algebra, which is a common aspect of mathematics, a variable is simply referred to as an unknown value. ![]() It has a different meaning and application in each of these fields. Measurement variables, or simply variables are commonly used in different physical science fields-including mathematics, computer science, and statistics. ![]()
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