CJUS-K300 1nd Edition Lecture 2Outline of Last Lecture II. Sampling TechniquesA. Simple Random SampleB. Systematic Random SampleOutline of Current Lecture III. Variablesa. Quantitativeb. Categorical c. Independentd. DependentIV. Levels of Measurementa. Nominalb. Ordinalc. Intervald. RatioCurrent LectureExamples of Variables- Sex: M/F - Age: 0-100 - Convicted of a crime: Yes/NoExamples of Constants- Sex – in a study of incarcerated males- Being convicted of a crime or not when studying individuals serving a life sentenceQuantitative or continuous variable: Age 0-100, Annual income $0-$250,000Categorical: Sex, Religion, Years of Schooling etc. Independent variable – hypothesized to be associated with change in the dependent (outcome variable) The one doing the influencingThese 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 influencedLevels of Measurement- Nominalo All inclusiveo Mutually exclusive; each case must belong to only one groupo No inherent order for the groups. Ex. Sex – M/F or F/M, the order it’s presented makes no difference- Ordinalo All inclusiveo Mutually exclusiveo Ordered but distance between two adjacent categories may vary. (Likert scalewithout numbers)- Interval and Ratioo All inclusiveo Mutually exclusiveo 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
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