MI 101 Lecture Notes - Lecture 4: Thomas Kuhn, Content Analysis, Falsifiability
Document Summary
Scientific method: theory a set of statements identifying key ideas about a phenomenon & how they are related, hypotheses informed predictions about what will happen under specific conditions observable falsifiable. Interplay between theory & observation (cid:862)paradig(cid:373) shift(cid:863) (cid:894)tho(cid:373)as kuh(cid:374), the tru(cid:272)ture of (cid:272)ie(cid:374)tifi(cid:272) re(cid:448)olutio(cid:374)s(cid:895) Content analysis: descriptive merely counts examples cannot determine causality or effects, content analysis is, objective (others should be able to analyze the same data & come to the same conclusions, systematic (rules ensure inter-coder reliability, quantitative, key concepts. Sample selection should be random: unit of analysis, coding scheme. Surveys: can evaluate relationships among variables (correlation) key concepts. Types of survey: cross-sectional: one sample, one point in time. Longitudinal: can assess trends overtime 3 types: 1) tre(cid:374)d stud(cid:455) (cid:894)sa(cid:373)e (cid:862)pool(cid:863) or pla(cid:272)e, later ti(cid:373)e/s(cid:895, 2) cohort (same demographic, later time/s, 3) panel (same respondents, later time/s) Interpreting correlation: correlation coefficients, range between +1. 0 (perfectly positive) to 0 (no correlation) to.
