CJUS K300 1nd Edition Lecture 2 Outline of Last Lecture II Sampling Techniques A Simple Random Sample B Systematic Random Sample Outline of Current Lecture III Variables a Quantitative b Categorical c Independent d Dependent IV Levels of Measurement a Nominal b Ordinal c Interval d Ratio Current Lecture Examples of Variables Sex M F Age 0 100 Convicted of a crime Yes No Examples of Constants Sex in a study of incarcerated males Being convicted of a crime or not when studying individuals serving a life sentence Quantitative or continuous variable Age 0 100 Annual income 0 250 000 Categorical Sex Religion Years of Schooling etc Independent variable hypothesized to be associated with change in the dependent outcome variable The one doing the influencing These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute Dependent variable The variable which is being influenced Levels of Measurement Nominal o All inclusive o Mutually exclusive each case must belong to only one group o No inherent order for the groups Ex Sex M F or F M the order it s presented makes no difference Ordinal o All inclusive o Mutually exclusive o Ordered but distance between two adjacent categories may vary Likert scale without numbers Interval and Ratio o All inclusive o Mutually exclusive o Ordered but there are equal distances or interval between any two adjacent categories Interval Likert scale with numbers below sero is arbitrary does not mean an absence ex Temperature Ratio Zero has a meaning which refers absence
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