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For quantitative data (e.g., the number of milligrams of a drug), coding your data involves:
- Dummy coding.
- Transferring each subject score to coding
- Transferring each subject's score to a computer coding sheet.
What is quantitative data?
Data that expresses a definite quantity, amount, or range is known as quantitative data. In most cases, the data is accompanied with measuring units, such as meters in the case of a person's height. Dummy coding offers one method for employing categorical predictor variables in various estimate methods, such as linear regression (see also effect coding).
Dummy coding transmits all the information about group membership using only ones and zeros. In order to satisfy the assumptions of some analyses, it could be required to dummy code variables. Dummy coding a categorical variable for use as a predictor in multiple linear regression is a typical occurrence (MLR). This mock coding contains some redundant code.
- Data that can be measured or quantified in numerical terms is referred to as quantitative data. Discrete data and continuous data are the two basic categories of quantitative data. Examples of quantifiable data are height in feet, age in years, and weight in pounds. Data that is descriptive but not numerically expressed is considered qualitative data.
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