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Unformatted text preview: Interpersonal Relationships 10/04/2011 11:16:00 January 4, 2011 Lecture 1 Intro January 6, 2011 Lecture 2 Complexity accounting for sources of variance in dyadic interactions P(erson)1, P(erson) 2, R(elationship), S(ituation) P1, P2, R, S = 15 possible combinations of effects 4 main effects, 6 possible 2-way interactions, 4 3-way interactions and 1 4-way interaction other aspects come into play when you look at the nature of the relationship and other context Where do hypotheses come from? Phenomena driven hypotheses: Intuitions or case studies can feed/generate hypotheses but not enough to test/make your case Theory driven hypotheses: explain, predict Harlow monkey study test drive reduction hypotheses of mother love http://www.youtube.com/watch?v=fLrBrk9DXVk Psychoanalytic theory: I love you because you feed me Learning theory: Rewardingness of being fed leads to love Science Start with the idea that we have Systematic observation structured observations And that they produce publicly verifiable knowledge the data collected can be replicated Solvable problems you have hypotheses that can be falsified o Must devise a way to set up a test that can come out pos or neg Methods for Studying Close Relationships Self report most common, cheapest Experimental once you start studying ongoing relationship phenomenon it becomes difficult to do ethically Observational more efforts to bring couples into the lab, code for their behavior Physiological look at their blood pressure, heart rate, stress hormones, etc Life event archives public and private records can be used (ex: marriage records) Peer report sometimes better than own reports when predicting Mnemonic: PEOPLS Types of Self-report Data Interview code for the answers Questionnaire more structured than interview (ratings on scale) Interaction record come close to diary accounts, get people to answer questions shortly after the event happens o Interactions that are 10mins or longer, beep you a couple times a day o Trying to get beyond the memory problem of self-data o Aggregate all the data o Sometimes dont use the first day because people may be self-conscious Epistles (letters) ex: during times of war (letters b/w soldiers and their spouses), text messages Diary Accounts Bob Zajonc experiments with close relationships mere exposure effect degree of exposure influences degree of liking Social facilitation studies polarization effect: if really good then audience will facilitate, if you are not that great then the audience will make you worse o Clear maze with rats who knew it well or not well, manipulated whether or not they had a crowd watching them same finding as for humans Prof. Baldwin: Private audiences and effect on self esteem o Would priming with the pope increase their sex guilt, Zajonc frowning was the...
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