Lecture 1: Positive psychology, describing the science Flashcards
What are the 3 criteria to decide that something is positive?
Choice - “revealed preference” in economics
Experience - pleasure, it feels good
Value - based on religion, law, logic
These do not always agree
What are 4 ways to use positive in PP? what is good or bad about each?
IGATS! Its positive psychology!
Good intentions
- posi: clinicians want to make people happier, more fulfilled
- neg: not always unique to PP, doesn’t help define
Ideology (people are good)
- posi: assumption is that human nature is positive
- neg: odd position for science to take, needs to be tested
Appreciation (people are kind of neat)
- posi: less extreme version of ideology, accomodates info that contradicts it, useful is guiding work
- negi: says more about the researcher than the content
- Topics (using and applying 3 criteria)
- posi: exists on a spectrum, PP looks at the positive line,
- neg: what about looking at other, possibly negative but positive traits such as resilience or grit
*topics is the chosen one
How does Zelenski define positive psychology?
“…The parts of psychology that deal with (positive) experiences, dispositions, contexts, and processes, in individuals and groups, that facilitate well-being, achievement, and harmony”
What are some additional issues with seeing PP as a product of “family resemblance”?
Probably impossible to define necessary and sufficient conditions for PP
Expansive view of topics may work best but it relies on complex/competing definitions of “positive”
How is PP placed in context? what distinguishes it?
Obvious overlaps with other sub-disciplines
Humanistic & health psych are particularly similar
Humanistic is qualitative, does not allow for allot of quantitative research
PP - mostly quantitative, includes the creation of statistics
What are the two predominant methods of research in PP? what are the issues/advantages with these methods?
Correlational
- Often more naturalistic, taking people as they are
- directionality problem (timing helps - longitudinal, ESM)
- Third variable problem
Experimental
- Confident causal direction
- Confounds like third variable problem
- Often artificial (generalizability issues)