Difference between coefficients and standardised coefficients in spss
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1) the difference is the meaning of the units. Unstandardized coefficients are in original units, standardized coefficients are in normalized units. for example, if you regress height (in centimeters) on age (in years), then an unstandardized coefficient of 2 would mean that an increase in age by 1 year is associated with an increase in height by 1 cm. On the other hand, a standardized coefficient of 2 would mean that an increase in age by 1 standard deviation is associated with an increase in height by 2 standard deviations.2) Neither one is "better", they are both appropriate for different things, depending on the question you are trying to answer. Unstandardized coefficients are easy to interpret and understand, as you probably noticed in the example above. Standardized coefficients are useful when you want to compare effects across different measures; for example, if you regress height on both age (in years) and income (in dollars per year), the age and income variables are on such different scales that they can't be easily compared directly, so it is often more useful to look at their standardized coefficients.
1) the difference is the meaning of the units. Unstandardized coefficients are in original units, standardized coefficients are in normalized units. for example, if you regress height (in centimeters) on age (in years), then an unstandardized coefficient of 2 would mean that an increase in age by 1 year is associated with an increase in height by 1 cm. On the other hand, a standardized coefficient of 2 would mean that an increase in age by 1 standard deviation is associated with an increase in height by 2 standard deviations.2) Neither one is "better", they are both appropriate for different things, depending on the question you are trying to answer. Unstandardized coefficients are easy to interpret and understand, as you probably noticed in the example above. Standardized coefficients are useful when you want to compare effects across different measures; for example, if you regress height on both age (in years) and income (in dollars per year), the age and income variables are on such different scales that they can't be easily compared directly, so it is often more useful to look at their standardized coefficients.
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Unlike standardized coefficients, which are normalized unit-less coefficients, an unstandardized coefficient has units and a 'real life' scale. An unstandardized coefficient represents the amount of change in a dependent variable Y due to a change of 1 unit of independent variable X.
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