Step 1 study Flashcards
Self-expansion model
Degree of overlap between partners, slowly adopt their traits due to desire to expand ourselves, eros (sexual desire), mania (obsession), storge (friendship), storge increases with relationship length
Selection hypothesis
Mentally healthy people seek relationships. Supported by data showing higher life satisfaction for people who are married, then singles who do get married and lowest is for singles who don’t get married)
Experience hypothesis
Romantic relationships increase mental health. Supported by twin studies (controlling genes and shared social environments) where coupled twins have less depression and suicidal ideation
Importance of romantic relationships
Physical health, mental health and mortality
Determinants of relationship satisfaction
Spousal characteristic differences, life stressors and couple processes
Humour study
Looked at type of humour, why humour is used and relationship satisfaction and found affiliative humour and self-enhancing humour to be positively correlated with relationship length
Poor conflict management study
Physically abusive husbands show more negative behaviour and negative voice than verbally abusive and withdrawing husbands. Physically abusive wives show steeper escalation than verbally abusive and withdrawing wives. Non-abusive husbands show more physically positive behaviour than all 3 conflict husbands and non-abusive wives show more physically positive behaviour, smiling and lower negative voice. Violent husbands also show higher belligerence and contempt than non-violent husbands.
Conflict discussion study
Couples completed problem inventory and then completed 15 minute discussion on one of the problems. Looked at positive and negative emotional displays. 6 years later found the husbands with positive displays are more likely to stay married
FB divorce study
State-wide measures: state-wide divorce rates, FB penetration, demographic and social variables.
Individual measures: likelihood of divorce, FB use and relationship satisfaction.
Found that a 20% increase in divorce was associated with a 4.5% increase in FB use per year and a 20% increase in FB penetration was associated with a 4% increase in divorce the next year. People not using Fb are 11% happier with marriage and 16% less likely to think of divorce. Heavy FB use is correlated with 7% in troubles in marriage
Emotions felt with different people
Experiential wellbeing = friends or romantic partner
Family = increased sense of meaning, negative affect and no impact on positive affect
Co-workers = decreased positive affect but increased sense of meaning
Anagram competition
Pairs of friends competed to solve anagrams (either told its a competition or not). Competition group solved more anagrams when versing a male friend (supported by self-reports). Non-competition group solved more when against same-sex friend. Men enjoyed the competition more than women and felt more stressed when against a female but females didn’t feel any difference in stress
Jealousy test
Individual asked to name best friend and say how sad, angry and jealous they would be if the friend didn’t do things with them due to no reason or due to them doing it with someone else. They reported higher levels of jealous if the friend was doing it with someone else. Another study found that individuals would display higher friendship-guarding behaviours when they lost their friend to a third party
Reason for using social media
Social capital (resources) and social reward (value received)
Narcissism and SM
Selfie frequency and attractiveness positively correlated with narcissism (mainly grandiose exhibitionism). All forms of narcissism are correlated with self-interested motivation for using SM
Misogynistic tweet study
When looking at misogynistic tweets and domestic violence it found there was a positive correlation between misogynistic tweets + alcohol outlets and domestic violence
FB post emotion contagion study
FB manipulated if people would see more positive emotional posts of more negative emotional posts. People who saw more positive emotional posts had fewer negative posts and more positive posts and the opposite occurred for the negative emotional post group
