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    minal scales.

    2. Ordinal scales:
    Ordinal scales are used to measure attitudes, preferences, occupation, social classes etc. Ordinal scales help to

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    Measurement transforms the characteristics of an object into a form that can be analyzed by a research. Normally, scales are used to measure response and classified into following four categories:

    1. Nominal

    2. Ordinal

    3. Interval

    4. Ratio

    1. Nominal:
    A nominal scale is one in which numbers are only used as labels and have no quantitative or numerical significance. Variables such as sex, geographic location, occupation, religion, brand awareness are studied under nominal scales.

    2. Ordinal scales:
    Ordinal scales are used to measure attitudes, preferences, occupation, social classes etc. Ordinal scales help to

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    acteristics of an object into a form that can be analyzed by a research. Normally, scales are used to measure response and classified into following four categories:

    1. Nominal

    2. Ordinal

    3. Interval

    4. Ratio

    1. Nominal:
    A nominal scale is one in which numbers are only used as labels and have no quantitative or numerical significance. Variables such as sex, geographic location, occupation, religion, brand awareness are studied under nominal scales.

    2. Ordinal scales:
    Ordinal scales are used to measure attitudes, preferences, occupation, social classes etc. Ordinal scales help to

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    gories:

    1. Nominal

    2. Ordinal

    3. Interval

    4. Ratio

    1. Nominal:
    A nominal scale is one in which numbers are only used as labels and have no quantitative or numerical significance. Variables such as sex, geographic location, occupation, religion, brand awareness are studied under nominal scales.

    2. Ordinal scales:
    Ordinal scales are used to measure attitudes, preferences, occupation, social classes etc. Ordinal scales help to

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    When John applied for a job at Oakland Company, his resume looked fabulous, showing tremendous talent and advancement. His qualifications were beyond question and he built immediate rapport with everyone in the interview process. Every one of his
    els and have no quantitative or numerical significance. Variables such as sex, geographic location, occupation, religion, brand awareness are studied under nominal scales.

    2. Ordinal scales:
    Ordinal scales are used to measure attitudes, preferences, occupation, social classes etc. Ordinal scales help to

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    minal scales.

    2. Ordinal scales:
    Ordinal scales are used to measure attitudes, preferences, occupation, social classes etc. Ordinal scales help to place different entities like objects, individuals or responses in relative position with respect to a particular aspect.

    3. Interval scales:
    This scale is used to measure common statistical measures such as range, standard deviation and correlation. A researcher gauges preference, liking or importance of a particular aspect of brand on a continuous basis and distance between one point of scale to another is the same.

    4. Ratio scales:
    These are the most powerful of the above scales. Unlike interval scales they have a zero point. They can be used for all kind of statistical calculation. They are used fo

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