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Questions and Answers
What is the main characteristic of continuous data?
What is the main characteristic of continuous data?
Why is it important to summarise data?
Why is it important to summarise data?
What type of data is marital status an example of?
What type of data is marital status an example of?
What is the main characteristic of continuous data?
What is the main characteristic of continuous data?
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Why is calculating a mean stage of cancer for a group of individuals unhelpful?
Why is calculating a mean stage of cancer for a group of individuals unhelpful?
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Which of the following is an example of discrete data?
Which of the following is an example of discrete data?
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What is the main difference between continuous and discrete data?
What is the main difference between continuous and discrete data?
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What is the term for categorical data with only 2 classes?
What is the term for categorical data with only 2 classes?
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Which of the following is an example of ordinal data?
Which of the following is an example of ordinal data?
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Why is it common to report birthweight in bands?
Why is it common to report birthweight in bands?
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What is the main difference between continuous and categorical data?
What is the main difference between continuous and categorical data?
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Why may continuous data appear discrete in practice?
Why may continuous data appear discrete in practice?
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What is the main characteristic of ordinal data?
What is the main characteristic of ordinal data?
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What is an example of categorical data that is also ordinal?
What is an example of categorical data that is also ordinal?
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Study Notes
Why Summarise Data?
- To facilitate data quality monitoring, data checking, and data cleaning
- To establish baseline data in a study
- To prepare for complex analysis
Quantitative Data
- Definition: Data that can be measured numerically and may be continuous or discrete
- Continuous data:
- Lie on a continuum and can take any value between two limits
- Limited by the accuracy of the method of measurement
- Examples: weight, gestational age of babies
- Discrete data:
- Do not lie on a continuum and can only take certain values, usually counts (integers)
- Examples: number of previous pregnancies in a pregnant woman
Ordinal Data
- Definition: Quantitative data that can be arranged in a numerical order from smallest to largest
- Examples: questionnaire scale data, categorical data with inherent ordering (e.g., stage of disease)
- Notes:
- Continuous data may appear discrete due to measurement/reporting limitations
- Continuous measurements are limited by the accuracy of the instrument used to measure them
Categorical Data
- Definition: Data where individuals fall into a number of separate categories or classes
- Examples: gender, disease status, stage of cancer, marital status
- Ordering:
- Different categories may be assigned a number for coding purposes
- Implied ordering may exist in categorical data with multiple categories (e.g., stage of cancer)
Dichotomous Data
- Definition: Categorical data with only two classes
- Also known as binary data
- Examples: alive or dead, male or female
Categorising Continuous Data
- Re-classifying continuous data into groups for ease of reporting
- Example: categorizing birthweight into bands
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Description
This quiz covers the importance of summarising data, data quality monitoring, and cleaning in research studies. It also defines quantitative data and its characteristics.
