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Related Concept Videos

How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
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Types of Aggregate Grading01:15

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Aggregate grading is crucial in economically obtaining a concrete mix with adequate strength, reasonable workability, and minimal segregation. There are four types of aggregate gradation: well-graded, uniformly (or one-sized) graded, gap-graded, and open-graded.
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Nominal Level of Measurement00:56

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Drug Classes and Categories01:25

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Drugs can be classified according to their chemical composition or their intended therapeutic application. For instance, anti-infective agents that possess the ability to eliminate pathogens or suppress their growth and reproduction can be grouped based on the organisms they target or their chemical structure. Furthermore, drugs can be divided into prescription, nonprescription, or controlled substances. Prescription medications, such as antibiotics, require oversight from a licensed healthcare...
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Ordinal Level of Measurement00:55

Ordinal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Aggregates Classification01:29

Aggregates Classification

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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
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Related Experiment Video

Updated: Apr 26, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

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Valuation, categories and attributes.

Inna Galperin1, Olav Sorenson2

  • 1Independent scholar, Montreal, Quebec, Canada.

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|August 12, 2014
PubMed
Summary
This summary is machine-generated.

Consumers value the "organic" label more than the individual attributes that define it. This preference strengthens with more associated attributes, showing category membership holds unique value.

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Area of Science:

  • Consumer Behavior
  • Marketing Science
  • Psychology

Background:

  • Previous research on category value has indirectly assessed membership value versus attribute value.
  • The distinct value of a category label itself, separate from its defining attributes, remains underexplored.

Purpose of the Study:

  • To quantitatively analyze consumer preferences for the "organic" label compared to the underlying attributes.
  • To determine if the perceived value of the "organic" label exceeds the sum of its constituent attributes.

Main Methods:

  • Utilized survey data to gather consumer preferences.
  • Employed preference analysis to compare the "organic" label against its defining attributes.

Main Results:

  • Consumers generally preferred products bearing the "organic" label over those with the attributes but lacking the label.
  • The value consumers placed on the "organic" label increased with the number of attributes they associated with it.
  • Category membership (the "organic" label) demonstrated greater value than the aggregated value of its individual attributes.

Conclusions:

  • The "organic" label provides a distinct and significant value to consumers beyond the sum of its attributes.
  • Marketing strategies should recognize the independent value consumers place on category labels.
  • Understanding attribute-label relationships is crucial for effective product positioning.