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Jul 16, 2020 · Learn how to measure variables in scientific research using four levels of measurement: nominal, ordinal, interval and ratio. Find out which descriptive and inferential statistics you can apply to each level and see examples and quizzes.
- Nominal. The simplest measurement scale we can use to label variables is a nominal scale. Nominal scale: A scale used to label variables that have no quantitative values.
- Ordinal. The next type of measurement scale that we can use to label variables is an ordinal scale. Ordinal scale: A scale used to label variables that have a natural order, but no quantifiable difference between values.
- Interval. The next type of measurement scale that we can use to label variables is an interval scale. Interval scale: A scale used to label variables that have a natural order and a quantifiable difference between values, but no “true zero” value.
- Ratio. The last type of measurement scale that we can use to label variables is a ratio scale. Ratio scale: A scale used to label variables that have a natural order, a quantifiable difference between values, and a “true zero” value.
Abstract. Measurement scale is an important part of data collection, analysis, and presentation. In the data collection and data analysis, statistical tools differ from one data type to another. There are four types of variables, namely nominal, ordinal, discrete, and continuous, and their nature and application are different.
- Prabhaker Mishra, CM Pandey, Uttam Singh, Anshul Gupta
- 10.4103/aca.ACA_131_18
- 2018
- Oct-Dec 2018
Aug 11, 2023 · Learn the definition, examples, and best question types for four levels of measurement scale: nominal, ordinal, interval, and ratio. Find out how to choose the right scale for your data and analysis in research.
Sep 16, 2023 · Learn the four levels of measurement in statistics: nominal, ordinal, interval, and ratio. Find out how to identify, use, and analyze data with different scales and examples.
Apr 3, 2019 · Learn about four types of scales commonly used in social science research: Likert, Bogardus, Thurstone, and semantic differential. Each scale has a different method of measuring and scoring items that reflect a variable of interest.
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Apr 10, 2024 · This is the fundamental of quantitative research, and the nominal scale is the most fundamental research scale. Nominal Scale Data and Analysis. There are two primary ways in which nominal scale data can be collected: By asking an open-ended question, the answers of which can be coded to a respective number of labels decided by the researcher.
