lecture notes—first midterm Flashcards
1
Q
The Five Insights of Psychology
A
- insight 1: experience is a projection.
- insight 2: projection is due to unavoidable limitations and problems brains face in processing information (plethora, pollution, partiality, and projection).
- insight 3: every experience is ultimately pattern processing in your neural network because every experience is your brain solving information processing problems using the same machinery.
- insight 4: science fine tunes our brain by both extending its natural tendency to experiment and by challenging its projection of common sense experience.
- insight 5: science is a complex multilevel process in which framework, theory, and explanation, prediction and observation interact in a complex, self-correcting, but not perfect, manner.
- this is especially difficult in psychology because we have to explain the projections, and our study “objects” are projecting onto us.
2
Q
The Six Influential Frameworks of Psychology
A
- the six frameworks: psychoanalysis, behaviourism, information processing/computational, humanist/existential, positive, and evolutionary.
- are the most current and influential in the practice of psychology.
- everything you’ll come across is based in at least one of these frameworks, and you must understand these to be literate in psychology.
- main lesson: history and current practice have produced multiple and influential frameworks that generate powerful insights and ways of thinking about the mind and behaviour.
- but be on your guard: determine which framework is at work, and know its problems.
- there’s no perfect experiment, no perfect theory, no perfect framework.
3
Q
Psychoanalysis
A
- was founded by Freud, and Jung.
- Freud’s insights:
- the unconscious—it’s so pervasive that we automatically think that we have an unconscious.
-
interactionism in development—development isn’t due to just nature or nurture, but how they interact with one another.
- the effects of these interactions could be reflected in different stages of development for different parts of the psyche.
- these mismatches caused difficulty for the individual.
-
multiple systems in the psyche
- each system works according to difference principles and motivations; very similar to modern day dual and triple processing models of cognition.
- id: operates according to the pleasure principle and works largely by association.
- ego: works according to the reality principle and makes use of inferential/logical processes.
- the contrast between id and ego is very similar to current proposals of the difference between System 1 and System 2 styles of processing.
- e.g. when you go grocery shopping, you expect a certain amount of groceries to have a certain sum despite not having actually added all of it up.
- superego: represents the internalization of parental and cultural values.
- Jung challenged some of Freud’s specific claims but more importantly made changes to the picture of the psyche that are currently influential.
- challenged conflict “hydraulic” model (Freud was in ancient times and used a lot of language that had to do with things “under pressure” or being “repressed”) with a dialogical organic model.
- more in line with current concepts of how parts of the brain “talk” to each other and how the mind/brain is self-organizing in nature; we shouldn’t understand the mind as a machine, but an organic being.
- main problems with Freud:
- reliance on case study methods, and often vague theoretical constructs makes many consider psychoanalysis not even scientific psychology.
- his patients came to him with very specific problems, and are probably not a good representation of the entire population.
- many of his patients would be cured because they come to believed Freud’s ideas, which doesn’t really say if they were good ideas.
- vague words such as “experience” don’t actually explain anything.
- clear instance of the power of framework to generate important insights without creating clearly testable theories.
4
Q
Behaviourism
A
- emerged out of the work of Thorndike, Pavlov, and especially Watson.
- Thorndike in America; interested in intelligent pets and the law of effect.
- Pavlov in Russia; classical conditioning.
- Watson in America; rejected introspection-based methods of psychology.
- behaviour explained only in directly observable terms = stimuli and response.
- developed very rigorous and reliable experimental methods and procedures.
- a lot was learned about the basic machinery of learning.
- main problems: too simplistic a view of experimental science.
- what about atomic theory or evolution? we can’t see those either; can’t limit ourselves.
- also, learning is not passive storage but can be insightful in nature.
- organisms usually respond not to the stimulus but its “meaning” or relevance to them.
- e.g. if you saw a video of fire, you wouldn’t run away because you know it’s not dangerous.
- many features of the mind, such as language, cannot easily be explained by stimulus response models, Chomsky vs. Skinner.
- the failure of perceptrons (more later on); there are many things that a computer can’t be programmed to learn that mammals do.
- creation of computer theory and computers that gave a new rigorous way of talking about inner processes.
5
Q
Information Processing/Computational Approach
A
- this was the main alternative that drove what was called the cognitive revolution in psychology.
- cognition is how information is transmitted/communicated from one processor to another, i.e. how information is stored, transformed, and applied in action.
- computer = logic machine
- information is organized logically; this is the software.
- the machine is organized causally; this is the hardware.
- one machine state causes another machine state that corresponds exactly to how one logical state implies another.
- they perfectly track each other = a program.
- main analogy: as software is to the hardware, so the mind is to the brain.
- psychology studies the software, the programs, while neuroscience studies the hardware, i.e. the states of the machine.
- the information processing approach wed mathematically rigorous theory to experimental testing so that inner processes could become a part of scientific psychology.
- gave birth to cognitive psychology as one of the most important sub-disciplines…
- main problems:
- very hard to get original meaning into the system.
- your computer doesn’t care about what it’s processing, whereas everything as meaning to you.
- very hard to get relevance into the system.
- hardware and software are independent and not qualitatively developmental.
- qualitative development is when something acquires new abilities to get new kinds of information.
- e.g. if you’re using a computer and all of a sudden it starts baking a cake.
- your brain can do this, but computers can’t, so your brain isn’t really a machine.
- concentration on order of functions and not timing.
- very hard to get original meaning into the system.
- in a lot of important ways, you both are/aren’t a machine.
- AI often involves more than computation nowadays.
- this method, although powerful, is too limited in its understanding of the brain.
6
Q
Humanistic / Existential Framework
A
- emphasizes the role of meaning making, qualitative change, and self-interpretation/self-definition missing from the information processing/computational framework.
- existence precedes essence for human beings.
- human beings have existential models, i.e. ways in which they co-define themselves and their world.
- we’re constantly engaged in existential modes; we’re constantly defining ourselves and our world at the same time
- consider the work of Fromm and the being mode vs. the having mode.
- having mode is organized around having needs, relies on categorical cognition, I-it identification, and manipulative problem solving,
- “I have this bottle of ginger ale, but I would be okay if you replaced it with another bottle of ginger ale”
- being mode is organized around developmental needs of becoming, relies on expressive cognition, I-thou identification, and rational meaning making.
- becoming mature or moral.
- you can’t treat your significant other the same way as the bottle of ginger ale.
- your significant other wants to matter to you; engaging in an I-thou relationship.
- having mode is organized around having needs, relies on categorical cognition, I-it identification, and manipulative problem solving,
- neither mode is good or bad, what is bad is modal confusion.
- that is, we use the wrong mode for the need that we have.
- maturity is a being mode, but many people just go out and buy a car or drink alcohol.
- instead of being in a relationship, you have a lot of sex.
- consider the work of Maslow and his theory of the hierarchy of needs and the roles of self-actualization and peak experiences.
- main problems:
- relies too much on philosophical argumentation (not a bad thing!) and not enough on experimental evidence. kind of the opposite of behaviourism. yet improved ethics in psychology.
- difficult to know how to compare theories and get theoretical debate and empirical competition going between them.
- influence on positive psychology framework.
7
Q
Positive Psychology
A
- positive psychology and the complement to the pathological framework.
- properties of the mind only revealed in excellence.
- e.g. Csikzentmihalyi and flow as optimal experience.
- when everything else drops away and you just get into that “zone”.
- this is a universal experience; this tells us something important about how the human brain works (“nirvana”?)
- positive psychology reveals things that we wouldn’t notice by just looking at the average state.
- or wisdom
- main problems:
- in its infancy and has not yet developed into a coherent framework.
- other than the contrast with the pathological approach, it’s not clear what unifies the positive framework.
- central constructs such as happiness and wisdom are difficult to clarify and operationalize.
8
Q
Evolutionary Psychology
A
- evolutionary psychology is based on understanding cognition and behaviour in terms of its original adaptive function.
- basics of evolution by natural selection:
- reproduction
- scarcity and competition, and reduction in design option
- mutation
- sexual reproduction and variation, and increase in design option
- evolutionary psychology pays attention to the Evolutionary Environment of Adaptation (EEA)
- evolutionary psychology often offers plausible explanations for behaviours that initially seem bizarre or “unnatural”
- main problems:
- circular just so stories because little independent evidence for EEA specifics.
- some things are just a part of your genetic code and aren’t exactly advantageous to you (e.g. spandrels; men’s nipples)
- overly simplistic accounts for behaviour (e.g. religious)
- selection for exaptation: a trait that has been co-opted for a use other than the one for which natural selection has built it.
9
Q
Five Qualities of Scientific Research
A
- based on measurements that are objective, valid, and reliable; it can be generalized; it uses techniques that reduce bias (projection); it’s made public; it can be replicated.
- objective measurement: within a margin of error, the measurement is consistent across instruments’ and observers.
- consistency: don’t contradict each other
- coherence: speak the language
- convergence: independently come to the same result
- the more we have of these, the more we can be sure that what we’re finding is real and not a projection or individual bias.
10
Q
Operational Definitions
A
- in order to check for consistency and coherence, we need to be able to compare results using the same measures; this requires operational definitions.
- e.g. you wanted to study if shyness causes loneliness. if different researchers use different definitions of shyness and loneliness they could come to exactly the opposite conclusions about the hypothesis.
- shyness = infrequent communication or contact with others (doesn’t want to connect).
- shyness = high anxiety in the presence of others (wants to connect but finds it difficult).
- depending on how you define shyness, you will come to completely different conclusions about whether or not the original question is true or false.
11
Q
Measurement Validity
A
- measurement validity: the degree to which an instrument or procedure actually measures what it claims to measure.
- not the same as logical validity.
- e.g. how do I measure anxiety?
- how about perspiration? is this valid? people perspire for a number of reasons, so it’s doubtful that you could measure anxiety validly with perspiration.
- infinite regress of validity? i.e. how do I measure a measure?
- you make these judgments about the validity of your measurement relative to how much objectivity it’s giving you based on good theory and reasoning.
- you have to do a lot of work before you gather data.
12
Q
Reliability
A
- reliable: when a measure provides consistent and stable answers across multiple observations and points in time.
- three types: test-retest, alternate-forms, and inter-rater reliability.
- using alternate forms of the test makes it even more reliable than retesting.
- in some cases, you video tape people doing the experiment and have a person watch the video back.
- e.g. do children react violently to violent movies? make them watch a video then hit the blowup clown doll.
- you can’t just have people watch the child’s behaviour; what exactly determines violent behaviour?
- you want a test so that different raters will come to similar conclusions about how violent the child is in the video.
- you have to give very careful instructions to define what “violence” is.
13
Q
Generalizability
A
- generalizable: the degree to which one set of results can be applied to other individuals, or events.
- science, competence (not just performance), explanation, and causation as opposed to just description.
- laws as universal generalizations.
- e.g. performance is every sentence you’ve ever said. but it doesn’t measure your competence.
- if someone says to you, “currently, there are no hyper-intelligent squirrels on mars mining for emeralds.”
- even if you’ve never said this sentence before in your life, you can still understand what this means. this is competence.
- not just explaining what has been done, but what can happen.
- generalizations point to causation and laws, and therefore supports deep explanation.
- science affords intervention in reality, i.e. power to change things.
- it’s not just about describing the world, but explaining the causes behind things.
14
Q
The Generalizability-Discrimination Tradeoff
A
- the more generalizable I make my claim, the less it applies to specific people in specific contexts.
- sometimes, you have to give up some generalizability for discrimination; to give a more contextual explanation for what’s going on.
- increasing the evidence pool (e.g. number of participants) is one way to increase generalizability.
- the optimum way is to measure all people at all time; you can’t really ever measure the whole population—the population is the group the researcher wants to generalize about.
- science almost always relies on samples.
- the problem is properties and patterns of the sample may not be properties of the population, i.e. will not generalize.
- most of the samples we take are from WEIRD people (White, Educated, Industrialized, Rich, Democratic). yet we generalize for everybody based off of these samples.
15
Q
Sampling Bias
A
-
random sample: a sample technique in which every individual of a population has an equal chance of being included.
- a true random sample would mean that every single person on the planet has an equal chance of being selected for your study.
- however, this is highly impractical.
-
convenience sample—a sample that is convenient for people to use (e.g. the PSY100 students at U of T).
- the more convenient it is, the less random it is, the more it’s likely to show sampling bias.
- there’s no solution or way out of this.
-
ecological validity: the results of a laboratory study can be applied to repeated in a natural environment.
- the more you design your experiment to be precise, the more artificial (unlike the real world) the situation becomes; the real world is messy and uncontrolled.
- generalizability vs. experimental precision (opposite of vagueness or ambiguity) tradeoff; this is also unavoidable.