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74 Terms
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1. Socrates Plato - mind/body seperate - mind continue after death - knowledge is innate (born within) 2. Aristotle - knowledge comes from observation - knowledge isn't innate - you need data
Early Philosopher (Greeks)
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1. Renee Decartes - proved that fluid in brain flows from nerve to muscle, causing movement - dissected animals
Early Philosophers (French)
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1. John Locke - mind is blank slate at birth (TABULA RASA) 2. Francis Bacon - founder of modern science - founded empiricism
Early Philosophers (British)
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knowledge comes from experience *francis bacon
Empiricism
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- father of psychology - created first psych lab (set apart psych for philosophy) - experiment: 2 dif trials, subjects told to press the key when hearing sound of ball drop
William Wundt
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- Wundt's student - STRUCTURALISM - INTROSPECTION
Edward Titchener
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studying elements of mind
Structuralism
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A method of self-observation in which participants report their thoughts and feelings - what you think abt your own mental processes - unreliable
Introspection
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- NATURAL SELECTION (traits that give advantage are selected natural for next generations) - influenced william james
Charles Darwin
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- FUNCTIONALISM - introduced principles of psych
William James
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structures of consciousness must have a function - everything has purpose - nose smells, but why?
Functionalism
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- memory researcher - denied psych PhD bc #sexism - first female president of APA
Mary Whiton Calkins
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- first female to get phD in psych - book: Animal Mind
Maragaret Floy Washburn
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- psych should be objective science - only study what u can see, not unseen mental processes
Behaviorism
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1. B.F Skinner - worked w animals - organisms repeat positive outcomes - #BFFR, BFB (bffr, B.F Behaviorist)
2. John B. Watson - little Albert study - psych only deals with observable events (rejected introspection)
Behaviorists
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*Unconscious effects behavior - developed PSYCHOANALYSIS
believing you would've known, after finding out the outcome
Hindsight Bias
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thinking we know more than we do #gaslightingmyself
Overconfidence
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thinking you see a pattern just to make sense of it
Perceiving patterns in random events
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1. Curiosity (wanna find truth) 2. Skepticism (keeping us from accepting ideas w/o proof) 3. Humility (admitting when wrong when proven by facts)
3 Elements of Scientific Attitude
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theory, hypothesis, testing, interpreting results
Scientific Method
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idea that organizes observation
Theory
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testable prediction that's implied by theory
Hypothesis
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exact procedures in study (important to REPLICATE)
Operational Definition
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doing procedures again (replication = confirmation)
Replication
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1. case studies 2. naturalistic observations 3. survey
Descriptive Methods
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individual/group studied in depth to find out something new PROS - lots of quantitive data - gives direction for further study CONS - can't always be generalized
Case Study
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observing behavior in natural setting (watching animals in jungle) PROS - subjects more "normal" outside lab - data collecting doesn't disturb subjects CONS - independent variable not isolated - observations from researcher are subjective
Naturalistic Observation
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self reported behaviors PROS - glance at people's observations CONS - opinions not always true, can scew outcome
Survey
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flaw in sampling that makes it not representable
Sampling Bias
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sample that represents population because subjects have equal chance of inclusion (aka RANDOM)
Representative Sample
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A relationship between two things *NOT CAUSATION*
Correlation
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two variables increase/decrease together (people who eat more food for breakfast (rise), have more energy (rise))
Positive Correlation
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two variables where one increases, other decreases (as we get older (rise), we sleep less (fall))
Negative Correlation
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statical index of relationship between variables (shows how strongly they correlate) r = correlation - the closer r is to -1 or +1, the stronger the correlation - (-) and (+) just mean if it's a negative or positive correlation: -0.70 is a stronger correlation than +0.28
Correlation Coefficient
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represents values of two variables - slope shows that positive or negative correlation - the closer the "scatter"/dots are to the line, the stronger the correltion
Scatterplot
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thinking there's a correlation, when there really isn't/isn't proof there is (wearing "lucky" jersey means team wins)
Illusory Correlation
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when the first measurement is extreme (super high or super low), and the second measurement is closer to the mean (goes back down to the average) Ex: doing horrible first apush test, then slowly getting to class average
Regression to the Mean
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1. manipulate other factors 2. hold control group (don't emphasize independent variable on them)
Establishing Cause & Effect
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assignment participants to groups by chance to minimize preexisting differences between two groups - helps eliminate confounding variable
experiment when participants and researchers don't know who gets treatment - controls subject and experimenter bias
Double Blind
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experimental results caused by expectations alone - subjects think they're getting something, so act like that even though they really aren't - placebo = inert treatment (pill w/o med in it) - decaf coffee, fake mood drugs
Placebo Effect
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an unstated factor that influences results (random assignment helps prevent this)
Confounding Variable
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how much an experiment predicts what it's supposed to
Experimental Validity
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statistics that summarize the data collected in a study
Descriptive Statistics
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bar graph that shows frequency distribution - how often something occurs
Histogram
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where data centrals around (main data points) 1. MEAN - Average. add #'s, divide by number of #'s
2. MEDIAN - Middle score. put #'s in order from high to low, then find middle
3. MODE - Most frequent. find most popular number, can be multiple or none
*MEAN NOT ALWAYS BEST bc super high/low numbers can skew mean higher or lower* *median better
Central Tendency
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Positively Skewed - outliers on positive side (pulls mean higher) Negatively Skewed - outliers on negative side (pulls mean lower)
Skewed Distribution
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different between highest and lowest value - helps with variation
Range
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how far away from mean/average - shows if scores packed together or dispersed
Standard Deviation
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bell shaped curve, most scores near the average, and less near extremes - 68% of scores, 1 standard deviation from mean - 95% of scores, 2 standard deviation from mean - 99% of scores, 3 standard deviation from mean
Normal Curve
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data that lets people assume sample data is true for a population
How lab conditions in everyday life Finding: how good at detecting faint light in dark room Principal: how good at flying plane at night
Specific Finding & Theoretic Principals
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- teach us about humans - have more simple systems
Why psychologists study animals
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*protect human research participants* 1. Informed consent 2. Protection from harm 3. Right to withdrawal 4. Confidentiality 5. Debriefing (explaining) - DECEPTION = when true purpose isn't revealed - debriefing is when you let subjects know about the deception that occured