Interpersonal Relationships Lecture Notes

Interpersonal Relationships Lecture Notes - Interpersonal...

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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 don’t 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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This note was uploaded on 04/21/2011 for the course PSYC 474 taught by Professor Lydon during the Winter '08 term at McGill.

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Interpersonal Relationships Lecture Notes - Interpersonal...

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