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Videos de Conceptos Relacionados

Ordinal Level of Measurement00:55

Ordinal Level of Measurement

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.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Interval Level of Measurement00:55

Interval Level of Measurement

For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between the...
Ratio Level of Measurement00:54

Ratio Level of Measurement

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.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated. For...
Nominal Level of Measurement00:56

Nominal Level of Measurement

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.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal scale is...
SI Units: 2019 Redefinition01:13

SI Units: 2019 Redefinition

Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined to...
Measurement: Standard Units03:38

Measurement: Standard Units

Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.

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Video Experimental Relacionado

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Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
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Published on: January 21, 2017

Escalas de medición en el continuo.

R D Luce, L Narens

    Science (New York, N.Y.)
    |June 19, 1987
    PubMed
    Resumen

    Este estudio identifica nuevos tipos de escala de medición más allá de la similitud, afín y monótono. Estos hallazgos amplían la comprensión de las medidas numéricas y su aplicación en las ciencias sociales y del comportamiento.

    Área de la Ciencia:

    • La teoría de la medición.
    • Psicofísica y psicofísica.
    • Ciencias sociales Ciencias sociales.

    Sus antecedentes:

    • El trabajo de 1946 de S. S. Stevens identificó tres grupos de transformación admisibles para medidas numéricas: similitud, afín y monótono.
    • La existencia y la naturaleza de otros posibles tipos de escalas permanecieron poco claras hasta hace poco.

    Objetivo del estudio:

    • Explorar y definir tipos de escalas de medición adicionales más allá de las previamente establecidas.
    • Para caracterizar situaciones homogéneas en el continuo y sus correspondientes tipos de escala.
    • Para integrar estos tipos de escala en el marco de las unidades físicas.

    Principales métodos:

    • Análisis de grupos de transformación admisibles para medidas numéricas.
    • Caracterización de situaciones homogéneas en el continuo.

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  • Integración teórica con la estructura de las unidades físicas.

    • Principales resultados:

    • Se identificaron tres tipos de escala establecidos (similaridad, afín, monótono) y un tipo adicional.
    • Este nuevo tipo se encuentra entre los tipos de escala de similitud y afín.
    • Clases definidas de estructuras correspondientes a estos tipos de escala.

    Conclusiones:

    • Los tipos de escalas identificados ofrecen una comprensión más completa de la medición.
    • Estos hallazgos tienen aplicaciones potenciales en las ciencias sociales y del comportamiento.
    • Los resultados facilitan la incorporación de tipos de escala en estructuras de unidades físicas.