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Levels of Measurement
Understanding Measurement Scales
Degrees, such as in temperature scales, do not imply a complete absence of heat. For example, -30 degrees does not equal 30 degrees less than no heat.
The Celsius scale operates similarly, while the Kelvin scale is different as it is based on absolute zero which signifies a complete lack of heat.
Types of Measures
Ratio Measures
Ratio measures exhibit characteristics that meet all requirements of interval measures and have a true zero point.
Common examples in criminal justice research include:
Age
Dollar value of property loss (e.g., burglary losses)
Number of prior arrests
Blood alcohol content
Length of incarceration
Example involving judges:
Judges can categorize themselves based on years of experience, allowing comparison of levels of experience.
Years of experience can be ordered (ordinal), measured by equal intervals (interval), and includes a true zero point, enabling ratio comparison.
Implications of Levels of Measurement
Table 5.1 illustrates different crime seriousness levels based on a survey conducted on over 200 different crimes:
Nominal Measure: Identifies the type of victim (home, person, etc.).
Seriousness Scores: Are interval measures ranging from 0.6 (trespassing) to 35.7 (murder).
Rankings: Provide a qualitative measure of seriousness without specifying the distance between them.
Property Loss: Treated as a ratio measure with an absolute zero point (e.g., burglaries can be summed).
Statistical Techniques and Measurement Levels
Different statistical methods necessitate specific levels of measurement:
Average property loss is computable as an interval measure.
Modal victim type is reportable for nominal variables (most common type in Table 5.1).
Researchers may apply diverse levels of measurement to a variable:
Example: Age (ratio by default) may be treated as ordinal when examining its relationship with delinquency involvement.
Criteria for Measurement Quality
Measuring Precision
Measurement precision refers to how detailed the distinctions between variable attributes are:
Example: "43 years old" is more precise than "in her forties."
A felony sentence of "18 months" is more specific than "over one year."
Generally, precise measurements are superior, but precision may not always yield useful results depending on the research objective.