1/82
Vocabulary flashcards covering AP Psychology exam structure, major psychological perspectives, research methodologies, statistical concepts, and ethical guidelines.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Psychodynamic Perspective
hidden thoughts shape how you act tody
Cognitive Perspective
How the mind works to change what we do.
Biological Perspective
How our body and brain chemistry control our actions.
Sociocultural Perspective
How our world and culture shape how we think and act.
Behavioral Perspective
How rewards and punishments from our environment shape our actions.
Humanistic Perspective
free will
Biopsychosocial Perspective
How nature and nurture work together to shape who we are.
Practice 1: Concept Application
Using what we know about the mind to solve real problems.
Practice 2: Research Methods & Design
Judging how well different types of studies and data gather facts.
Practice 3: Data Interpretation
EXPLAING NUMEBRS
Practice 4: Argumentation
Using facts to build and defend smart arguments about the mind.
Psychology
The science of behavior and mental processes.
Empirical Evidence
Real facts found by watching or testing things yourself.
Scientific Method
A step-by-step way to test ideas and find facts through science.
Confirmation Bias
Only noticing facts that agree with what you already think.
Hindsight Bias
Believing you knew an event would happen only after it already occurred.
Overconfidence
Being more confident in your choices and knowledge than you are actually correct.
Hypothesis
A smart guess you can test.
Falsifiable
The ability to be proven wrong.
Peer Review
Experts checking each other's work.
Replication
Doing a study again to check its results.
Reliability
Getting the same result every time you measure.
Validity
Measuring exactly what you mean to measure.
The American Psychological Association (APA)
The main group that sets the rules for US psychology.
Quantitative Data
Facts that you can count and analyze with math.
Qualitative Data
Facts told through words, descriptions, and stories instead of numbers.
Likert Scales
A rating scale used to show how much you agree or disagree with an idea.
Structured Interviews
An interview where every question follows a strict script.
Survey Technique
askign people quesions to gert datA
Wording Effect
How wording tweaks alter people's answers.
Social Desirability Bias
Answering questions in a way that makes you look good to others.
Naturalistic Observation
Watching subjects in their real-world environment without interfering.
Case Study
An in-depth study of just one person or small group.
Correlational Research
Measuring how two things connect and change together.
Third Variable Problem
A hidden factor that ruins study results.
Correlation Coefficient
A number showing how strongly two things link together.
Positive Correlation
When two things rise or fall together. [1]
Negative Correlation
When one thing goes up as another goes down. [1]
Experimental Method
An experiment where you change one thing to see its effect on another.
Independent Variable
The variable in an experiment that is manipulated; representing the 'Cause'.
Dependent Variable
EFFECT
Confounding Variable
A hidden factor that accidentally ruins an experiment's results.
Operational Definitions
A precise recipe for how to measure a variable in a study.
Experimental Group
The group that gets the real treatment being tested.
Control Group
The baseline group that does not get the treatment being tested. [
Random Assignment
Picking groups purely by luck for a fair test.
Placebo Effect
Feeling better just because you expect to feel better.
Experimenter Bias
When a researcher's own expectations accidentally ruin the study results.
Measure of Central Tendency
A single number that shows the middle of a data set. [1]
Mean
The average of a data set.
Median
The middle value in a data set.
Mode
The most frequently occurring value in a data set.
Range
The distance between the highest and lowest numbers in a data set.
Normal Curve
A symmetrical, bell-shaped curve showing how data naturally clusters. [1, 2]
Regression to the Mean
EXTREAM OR UNUSUALL SCORES THAT FINNALY SNAP BACK TO NROAML
Positive Skew
A chart with a long tail stretching to the right. [1]
Negative Skew
A chart with a long tail stretching to the left. [1,
Standard Deviation
A number showing how data is from the average. [1
Percentile Rank
The percentage of scores that fall at or below yours.
Single-Blind Study
A study where participants do not know which group they are in.
Double-Blind Study
A study where participants do not know if they got the real treatment or a fake one.
Sample
A portion of the population chosen fora study; a 'Mini population'.
Representative Sample
A small group that matches the traits of the whole crowd.
Random Sample
Picking study members purely by luck.
Sample Bias
Mistakes in picking study members that ruin your sample.
Generalizability
How well study results apply to the real world.
Statistics
The math branch used to gather, analyze, and show data.
Descriptive Statistics
Numbers that summarize data from a small study group. [1,
Inferential Statistics
Using small group data to guess how a large crowd behaves. [1]
Bimodal Distribution
A chart with two clear peaks or popular scores. [1]
Statistical Significance
How likely a result is real and not just a lucky guess.
Effect Sizes
A number showing exactly how big your experiment's result is.
Meta Analysis
Blends many studies into one giant score.
Institutional Review Boards (IRB)
A committee that reviews research plans to protect human subjects.
Informed Consent
Knowing the risks and benefits before agreeing to join a study.
Informed Assent
A child's or dependent's agreement to join a study.
Confidentiality
Keeping participant information secret.
Deception
Tricking participants to get honest reactions.
Debriefing
Revealing the study’s true goals after it ends. [1]
Protect from Harm
esearchers must never cause participants permanent physical or psychological damage.
Confidentiality
researchers to keep all participant information and data secret and private.
Deception
eans misleading participants about a study's true purpose, which is only allowed if necessary and followed by a full explanation afterward.
Debriefing
explaining the true purpose and any deception of a study to participants immediately after the experiment ends.