SCS 2150 Lecture Notes - Lecture 9: Human Computer, Eniac, John Vincent Atanasoff

• School: University of Ottawa
• Department: Social Sciences
• Course: SCS 2150
• Professor: Ivan Katchanovski

Document Summary

Positivist (this is how the world is) vs. non-positivist (interpretation) Deductive (testing theory, quantitative) vs. inductive (generating theory from data qualitative) Theory and research hypothesis tested (quantitative) vs. theory and research hypothesis developed from data and research questions answered (qualitative) Thi(cid:374) des(cid:272)(cid:396)iptio(cid:374) (cid:894)stati(cid:374)g fa(cid:272)ts (cid:395)ua(cid:374)titati(cid:448)e(cid:895) (cid:448)s. thi(cid:272)k des(cid:272)(cid:396)iption (meaning, i(cid:374)te(cid:396)p(cid:396)etatio(cid:374) (cid:395)ua(cid:374)titati(cid:448)e(cid:895) N = number of cases; large n (quantitative) vs. small n (qualitative) Concept: ideas or mental representations of things (crime, gender, alienation, life satisfaction) Coding: transforming a measure into numbers (variables); process of assigning a code to something for the purposes of classification or identification. Variables provide measurement of concepts (contain different values: e. g. in measuring life satisfaction, respondents who say they a(cid:396)e (cid:862)satisfied(cid:863) (cid:373)ay (cid:271)e gi(cid:448)e(cid:374) a (cid:272)ode/(cid:448)alue of (cid:1005), which is then recorded in a file. Respondents who say they a(cid:396)e (cid:862)(cid:374)ot satisfied(cid:863) (cid:373)ay (cid:271)e gi(cid:448)e(cid:374) a (cid:272)ode/(cid:448)alue of (cid:1004), which is then recorded in a file.