SOAN 3120 Lecture Notes - Lecture 1: Dependent And Independent Variables, Fairy

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The actual ages (or scores on the variable age: 18, 22, 24, etc. ) Types of variables: va(cid:396)ia(cid:271)les (cid:272)a(cid:374) (cid:271)e (cid:272)lassified as, independent or dependent, discrete or continuous, nominal, ordinal, or interval-ratio (levels of measurement) Independent & dependent variables: i(cid:374) (cid:272)ausal (cid:396)elatio(cid:374)ships. Discrete & continuous variables: dis(cid:272)(cid:396)ete (cid:448)a(cid:396)ia(cid:271)les a(cid:396)e (cid:373)easu(cid:396)ed i(cid:374) u(cid:374)its that (cid:272)a(cid:374)(cid:374)ot (cid:271)e su(cid:271)di(cid:448)ided example: gender, co(cid:374)ti(cid:374)uous (cid:448)a(cid:396)ia(cid:271)les a(cid:396)e (cid:373)easu(cid:396)ed i(cid:374) a u(cid:374)it that (cid:272)a(cid:374) (cid:271)e su(cid:271)di(cid:448)ided i(cid:374)fi(cid:374)itel(cid:455) example: age. Levels of measurement: (cid:272)o(cid:396)es of a (cid:448)a(cid:396)ia(cid:271)le a(cid:396)e (cid:373)easu(cid:396)ed o(cid:374) th(cid:396)ee different levels (noir): Nominal: scores are labels only, they are not numbers (example: gender) Ordinal: scores have some numerical quality and can be ranked (example: highest to lowest year in university) But that"s all (cid:449)e (cid:272)a(cid:374) do, statisti(cid:272)s-wise: e(cid:454)a(cid:373)ples: Gender (1 = female, 2 = male) Victim of crime in past year (1 = no, 2 = yes)

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