PSYA01H3 Chapter Notes - Chapter 2: Dependent And Independent Variables, Falsifiability, Operational Definition
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Usuall(cid:455) the s(cid:272)ie(cid:374)tifi(cid:272) p(cid:396)o(cid:272)ess (cid:271)egi(cid:374)s (cid:449)ith a theo(cid:396)(cid:455)so(cid:373)e(cid:271)od(cid:455)"s e(cid:454)pla(cid:374)atio(cid:374) (cid:373)ea(cid:374)t to explain things that they have seen. (cid:862)good(cid:863) theo(cid:396)ies lead to h(cid:455)potheses p(cid:396)edi(cid:272)tio(cid:374)s that (cid:272)a(cid:374) (cid:271)e e(cid:373)pi(cid:396)i(cid:272)all(cid:455) tested i(cid:374) a (cid:449)a(cid:455) that might prove them to be incorrect (i. e. , falsifiable!) F(cid:396)eud"s theo(cid:396)ies of hu(cid:373)a(cid:374) (cid:271)eha(cid:448)iou(cid:396), a(cid:374)d (cid:396)eligious theo(cid:396)ies of e(cid:454)iste(cid:374)(cid:272)e, a(cid:396)e ofte(cid:374) criticized for being unfalsifiable and, therefore, impossible to test. The pros and cons of naturalistic observation. In actuality, whether a variable is categorical or continuous often depends on how it is measured. If you measure some variable across many people you can sometimes end up with a lot of data too (cid:373)u(cid:272)h data to (cid:373)ake se(cid:374)se of (cid:449)he(cid:374) it"s p(cid:396)ese(cid:374)ted i(cid:374) (cid:862)(cid:396)a(cid:449)(cid:863) fo(cid:396)(cid:373) Imagine i asked you some students in a smaller class how old they were and got this dataset (21, 20, 23, 21, 23, 22, 20, 21, 22, 22, 21, 25, 19, 22, 21, 23, 26, 24)
