Final answer:
Scope levels for dimensions and metrics include hit-level, session-level, product-level, and user-level, which determine the aggregation of data. In terms of measurement, data can be nominal, ordinal, interval, or ratio, each with increasing levels of information about the data set.
Step-by-step explanation:
The scope levels available for dimensions and metrics, such as those in a web analytics platform, are typically categorized into four distinct levels: hit-level, session-level, product-level, and user-level scope. These scopes define how data is aggregated within the platform. For example, a hit-level scope could include page views or events, a session-level might encompass all user interactions within a single visit, a product-level might relate to interactions with a specific product, and user-level encapsulates all interactions a particular user has made over multiple sessions.
Regarding levels of measurement:
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- Nominal scale measures are qualitative and unordered, such as the colors of crayons in a box.
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- Ordinal scale involves an order or rank, like high school soccer players classified by athletic ability: superior, average, above average.
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- Interval scale offers ordered data with meaningful intervals, but without a true zero point, such as measuring temperature in Celsius or Fahrenheit.
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- Ratio scale includes all the properties of an interval scale, and also has a true zero point, which makes it possible to calculate ratios, like distances or weights.