Significance of Categorical data
Categorical data refers to information that can be divided into distinct categories or groups, such as gender, marital status, or education level. This type of data is typically presented as frequencies and percentages, allowing for the analysis of patterns or differences between groups. Categorical data can be analyzed using statistical methods like Pearson's chi-squared test, and software tools such as STATA/SE 12.0 are often employed for this purpose. Overall, it helps describe various characteristics within a study.
Synonyms: Qualitative data, Nominal data
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The concept of Categorical data in scientific sources
Categorical data pertains to information that can be organized into specific categories, facilitating the analysis of patterns or differences within those categories, as indicated by the regional sources. This classification aids in data interpretation.
From: The Malaysian Journal of Medical Sciences
(1) The type of data used to present information in the form of categories, like gender or the presence of comorbidities, analyzed in the study.[1] (2) This refers to data that is presented as frequency and percentage, and is used to describe the results, as mentioned in the text.[2] (3) This was presented as frequency and percentage, and the study used STATA/SE 12.0 for analysis to understand the data.[3] (4) Categorical data are data that fall into distinct categories, such as marital status or education level, which are presented as frequencies and percentages in the analysis.[4] (5) Categorical data are presented as frequency and percentage.[5]