AP PSYCH VOCAB (that i dont know)

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Last updated 5:30 PM on 9/11/26
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35 Terms

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Empiricism

idea that knowledge comes from experience and observations

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Empirical Data

information that is collected through direct observation, experimentation, or measurement, rather than through theories, rumors.

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Introspection

Looking inward to report your own internal, conscious thoughts and feelings.


ex: the flowers were red and smelled like ..

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Classical Conditioning

behavioral: a type of learning where an organism learns to associate two things together

ex: that tiktok trend of making u get scared when i say potato or smth

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Applied Research

scientific study that aims to solve practical, real-world problems.

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Basic Research

scientific study aimed at increasing psychology's general knowledge base.

just for funsies.. or research

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Hindsight bias

“i knew it all along (lie)”

Believing you predicted an outcome, even though you had no idea.

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Conformation bias

Searching only for info that proves you are right and ignoring evidence that contradicts your beliefs.


(you believe texting causes bad grades. you notice 5 failing students who text, but ignore 20 straight-A students who also text.)

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Experimenter bias

A scientist accidentally influences the results of a study to match their hypothesis.

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Coercion

forcing or tricking someone into doing something against their will.

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Cohort effects (type of research)

when research results are messed up because different age groups grew up in different generations.


  • The Study: A scientist finds that 70-year-olds text much slower than 16-year-olds.

  • The Scientist's Mistake: Guessing that aging naturally makes fingers worse at texting.

  • The Cohort Effect: The 70-year-olds text slower simply because they grew up using flip phones and landlines, not because of their age.


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Internal Validity (type of research)

Experimental: as about Accuracy inside the lab. (Did our experiment actually cause the result, or did we mess up?)

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External Validity (type of research)

Experimental: is about Real-world application. (Does this lab result actually apply to the real world outside?)

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Demand characteristics

subtle clues in an experiment that tell the participants what the researcher expects to find.
(change their behavior, not good)


  • Hawthorn effect: act better because they’re being watched


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Sampling bias (type of research)

Experimental: when a researcher selects a group for a study that does not fairly represent the entire population.

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Random assignment (type of research)

Experiment: How you DIVIDE those participants into groups. (during the experiment).

like random who gets the experimental or control

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Random sampling (type of reearch)

Experiment: process of choosing a representative group of participants from a larger population,

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Stratified sampling (type of research)

method of sampling where the researcher divides the entire population into distinct subgroups
like 25 freshmen, 25 sophomore, 25 juniors, 25 seniors

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Illusory correlation (type of study)

correlational: is the perception of a relationship between two variables when no actual relationship exists.

bob wears their "lucky socks" and hits a home run, leading them to believe the socks caused the hit.

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z-score

experimental: a metric (-3 to +3) that tells you how many standard deviations a specific score is away from the mean.

if its just above or below average

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p-value

experimental: a number that tells you how likely it is that your research results happened by pure luck or random chance.


if less than 0.05 its significant

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r-value

correlational: a statistic that measures the strength and direction of the relationship between two variables on a scale from -1 to 1.

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Cross sectional design

a scientist compares different groups of people of different ages at one single point in time.


a memory test to a group of 20-year-olds, 40-year-olds, and 60-year-olds all at once (haha beat that longitudinal design)

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Regression towards mean

if a variable is extreme on its first measurement, it will tend to be closer to the average (the mean) on its second measurement.

If you get a perfect 100% on your first psychology quiz by pure luck, you will likely get a score closer to your usual B-average on the next quiz because extreme flukes naturally balance back to normal.

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Standard deviation

a statistic that measures how much scores vary, or spread out, around the average (mean) of a data set

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Self report bias

inaccurate data, dishonest
(social desire or legit forgot)

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Theory bc it broad helps make a hypothesis!! (don’t answer)

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Reliability vs Validity

Reliability: like redoing it again to double checky (retaking test to see if u get similar scores)

Validity: ru tested on the correct stuff is it valid for research

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inferential stats

tools that allow researchers to draw conclusions, make predictions,

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Nominal Scale

just labels
Depression, Anxiety, or OCD.

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Ordinal Scale

in order, 1st, 2nd, or 3rd place

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Interval scale

a numerical scale where intervals are meaningful, but there is no true zero.
(ratio scale is true zero)

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Discrete data

data that not very precise just like
The number of panic attacks a patient has in a week (e.g., 0, 1, 2, 3). You cannot have 1.5 panic attacks.

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Continous data

time and weight

A participant's reaction time to a flashing light e.g., 234.56 milliseconds

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t-test

to compare the averages (means) of two separate groups
(fluke or not)

greater t value the better to show not rando chance