PSY309H5 Lecture Notes - Lecture 1: Type I And Type Ii Errors, Sample Size Determination, Falsifiability
Document Summary
Systematic observations (e. g. , experiments, observational studies) to draw about the world: test assumptions or stereotypes (e. g. , ulcers via acid vs bacteria) Science point 2: science is guided by theory, a set of statements that describe general principals about how variables relate to each other, conceptual framework, model, or unifying explanation model/overarching frame work, hypothesis: Specific prediction about what needs to happen for the theory to be true: narrow subset of theory. Specific test of theory, usually specific to a study: hypotheses: testable and falsifiable, testable: observed w/ real world data, people like each other bc they have the same. Falsifiable: possible to observe results contrary to the hypothesis (i. e. , just one observation can disprove it) Similar to null hyp testing: test hyp that there is no difference or no correlation. Sample size: higher gives a more likely chance to get an effect. Internal validity: did you eliminate "3rd-variables" or other explanations for your findings, ex.
