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Chapter 4: Conceptualization and Measurement. Levels of Measurement. Level of Measurement =Mathematical precision with which values of a variable can be expressed. Nominal level of measurement: Qualitative No mathematical interpretation . Levels of Measurement.
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Levels of Measurement • Level of Measurement=Mathematical precision with which valuesof a variable can be expressed. • Nominal level of measurement: • Qualitative • No mathematical interpretation
Levels of Measurement • Quantitative levels of measurement: • Ordinal • Interval • Ratio • Progressively more precise mathematically
Nominal Measures (Labels) • Identifies variables whose values have no mathematical interpretation • Categories are not ordered • If only two categories: Referred to as a dichotomous or “Dummy” variable
Ordinal Measures • Categorical--Some categories are higher than others. • For example: • Income tax brackets • Social class • Levels of education • Cannot measure the distance between categories, only which is higher or lower • Cannot say that someone is twice as educated as someone else • Can be used as a dependent variable
Example: Ordinal Measures When attributes can be rank-ordered… • Distances between attributes do not have any meaning • For example : code Educational Attainment as 0=less than H.S. 1=some H.S. 2=H.S. degree 3=some college 4=college degree 5=post college Is the distance from 0 to 1 the same as 3 to 4?
Interval Measures • Called scalar or index variables • Provide scale or index to measure between levels • Can measure which is higher or lower and how much • Measured between points on a scale with even units • Example: Temperature in Fahrenheit or Celsius
Example: Interval Measures When distance between attributes has meaning, for example, temperature (in Fahrenheit) – • Distance from 30-40 degrees = Distance from 70-80 degrees • Variety of statistical analysis • For example, central tendency can be measured by mode, median, or mean • Standard deviation can be calculated • Cannot calculate ratios
Index of feminist attitudes Two women were asked a series of questions. Their answers were compiled, and an index of their feminist attitudes calculated, but the index had no absolute zero. Still, their scores could be compared. • Do you agree or disagree with the following statements? • (SD =1, D=2, N=3, A=4, SA=5) • A woman should have the same job opportunities as a man. • Men should respect women more than they currently do. • America should pass the Equal Rights Amendment. • Women should be considered as seriously as men as candidates forthe Presidency of the United States. • Doctors need to take women's health concerns more seriously. • Women have been treated unfairly on the basis of their gender throughout most of human history. Feminist Attitude index = 5 (lowest score possible) Feminist Attitude index = 30 (highest score possible)
Ratio Level Measurement • Similar to interval level • Can measure distancebetween two points • Butcan do so in absolute terms • Ratio measures have a true zero (unlike interval measures) • Example, can say that someone is twice as rich as someone else based on the value of their assets. • To have no money is based on a starting point of zero
Ratio Level Measurement • Has an absolute zero that is meaningful • Can construct a meaningful ratio (fraction), for example, number of clients in past six months • It is meaningful to say that “...we had twice as many clients in this period as we did in the previous six months.
Ratio Level Measurement • Ratio scales are the ultimate when it comes to measurement scales • They tell us about the order • They tell us the exact value between units • AND they also have an absolute zero–which allows for a wide range of both descriptive and inferential statistics
Types of Comparisons That Can Be Made With Different Levels of Measurement
Measurement Hierarchy RATIO STRONGEST INTERVAL ORDINAL NOMINAL WEAKEST