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Research Methods Class 2.docx

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Psychology 2800E
Doug Hazlewood

Research Methods Class 2 9/13/2012 9:31:00 AM Ways of Knowing - Part 1: How do we know? - Part 2: The scientific way of knowing PART 1: How do we know? Charles Peirce’s question in his essay (1877): “The Fixation of Belief” - described several ways of fixated belief  how we come to know things A. Authority  But, authorities can be wrong Just cuz authority says it must be true doesn’t necessarily mean it is true… B. Logical Discourse (the “a priori” method)  Results in knowledge that’s “agreeable to reason” o E.g. the use of deductive logic (syllogisms):  Begin with general premises (believed, a priori, to be true);  Deduce specific conclusions (new knowledge)  Premise and conclusion together form the syllogisms Example: Do Kangaroos have livers?  Premise 1: All kangaroos are mammals.  Premise 2: All mammals have livers.  Conclusion: All kangaroos have livers! Problem #1: The premises might not be true:  Consider this… P1: Socrates was a dog  P2: Dogs are not human  C: Socrates was not human Problem #2: “Logical errors”: we often make logical errors when trying to think logically. P1: All welfare is “giving to the poor” P2: All charity is “giving to the poor” C: All welfare is charity. But is it? Consider this: P1: All Canadians are people P2: All Egyptians are people C: All Canadians are Egyptians??? C. Empiricism: Relying on direct experience and observations (to gain knowledge of the world) Problems occur when we rely too much on “subjective empiricism”:  Relying on our informal, “intuitive” experiences and observations 1. Knowledge we gain is too general (it describes everything; but predicts nothing). E.g. Common Sense (conventional wisdom) - “haste makes waste”, BUT “he who hesitates is lost” - “two heads are better than one”, BUT “too many cooks spoil the soup”. Note: It’s not that common sense is wrong; instead, we don’t know when it’s right. - don’t know specific conditions when it applies - as such, it can never be discomfirmed. 2. Subjective experience and observations are often biased: (e.g. The philosopher that doesn’t rely on authority said lets rely on direct experience, counting the teeth on horses… but the philosopher might have been misled of certain things.. perhaps the horse had gum disease and lost teeth years ago.. its not fair to say that this generalizes to how many teeth a horse has).  The availability bias: events that are available in memory are judged to be more frequent. It occurs when we’re making these frequency judges. But we’ll see that that’s not only the case. Just because something is available in memory doesn’t necessarily mean its more frequent. And if we say it is, then we are incorrect. Example 1: (1) Words beginning with “k” or (2) words with “k” as third letter Q: Which contains more words. Most ppl would guess that it is (1). Our reasoning is that its easier to retrieve from memory words beginning with “k”. Words beginning with letter k are easier to retrieve, and we judge this as more frequent, BUT words with letter k beginning are actually LESS frequent. Therefore, Most ppl choose 1 b/c easy to retrieve, but 2 is twice as frequent in reality! Example 2: Some events are easier to imagine (makes them available in memory, so judged to be more frequent ). E.g. (1) Being killed by “shark attack: OR (2) Being killed by “falling airplane part” Which is more frequent? Well, more ppl would say (1) cuz its easier to imagine being killed by a shark. Actually, the chances of being killed by falling airplane part are 30x greater than by shark. Example 3: We’re exposed to biased samples of events (which makes them more available) E.g. smokers overestimate the number of people who smoke (because they see more smokers). They have a bias sample of people likely to smoke cuz of lets say the environment theyre in. NOTE THE ROLE OF THE MEDIA IN THESE EXAMPLES  Media reports car accidents more often for example, but more ppl die from stomach cancer. Above example: stomach cancer vs car accident. For additional examples of biases see: 1. Stanovich - Ch. 4: the “viv
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