AP Psychology Unit 0 Terms

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Last updated 8:16 PM on 9/8/26
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93 Terms

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Psychology

The scientific study of behavior and mental processes

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Pilars of Psychology

Structure of how modern psychology is set up

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Biological Pilar

Biological bases of behavior

Sensation

Consciousness

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Cognition Pilar

Cognition

Memory

Perception

Inteligence

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Development and Learning Pilar

Language development

Learning language

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Social and Personality Pilar

Social personality

Multiculturalism and Gender

Motivation and Emotion

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Mental and Physical Health Pilar

Disorders

Health

Therapies

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Important Takeaway/Big Idea

People make many choices and make different thoughts. Humans make hundreds of choices a day

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Cognitive Bias

What → Systematic error in thinking

Why→Our brain uses mental shortcuts (Heuristics)

Affects→Memory, decisions, problem solving, judgments

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Hindsight Bias

“I knew it all along”

the tendency to believe after an event occurred, that we knew the outcome all along

We think events are more predictable than they really are

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Overconfidence

We think we know more than we do

Our confidence outweighs our accuracy

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Confirmation Bias

We seek out information that affirms our own assumptions and beliefs.

Rather than evaluating all available evidence

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Perceiving Order

Tendency to perceive order in random events

We think there are patterns or correlation where it does not exist.

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Perspective

Point of view or a lens

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Evolutionary Perspective

Use & apply the knowledge and principles from evolutionary biology to the human mind

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Biological Perspective

Seeks to understand and explain how the elements of our brain and or bodies are connected to our behaviors and thought processes

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Psychodynamic Perspective

Focuses on how the unconscious mind influences your thoughts and behaviors such as: repressed memories, inner motivations & conflicts below your conscious awareness

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Behavioral Perspective

Behavior is learned through experiences and interactions with the environment. Focusses on psychology as an objective science-something you can see and observe (unlike our thoughts)

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Humanist Perspective

Focuses on a persons potential, personal growth, and free will. Believes people naturally want to grow and become the best version of themselves. We are trying to fill our needs to be the best version of ourselves. (self actualization)

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Cognitive Perspective

Cognition=Thinking

Focuses mainly on mental processes rather than behaviors. The way we interpret situations affects how we feel and behave. Unhealthy or negative thoughts can lead to negative outcomes.

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Sociocultural Perspective

Focuses on our mental processes and behaviors are influenced by our interactions with: other people, social environment, and cultural norms & expectations

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Biopsychosocial Perspective

Examines how multiple interconnected factors influence our thoughts and behaviors. Biological factor (neurochemistry, etc.), Sociocultural factors (peer groups, etc. ), Psychological Factors (self esteem, etc.)

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Theory

An idea based on a collection of observations and principles

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Hypothesis

A prediction that tests a theory

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Hypothesis (Operational Definition)

A detailed description of how a variable will be measured or manipulated. Must be precise and measurable. Allows the study to be understood and replicated in the future.

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Population

The entire group you want to draw conclusions about

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Sample

Smaller group used for collecting data

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Randomized

Every individual in the population has an equal chance of being selected

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Representative

Represents the demographics & characteristics of the population

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Convenience Sampling

Selecting participants based on accessibility. Can lead to sampling bias and results.

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Generalizations

If your sample is random & representative →you can make findings to the population


Do the research

  • collect data

  • organize data

  • analyze data

  • evaluate findings

  • was the hypothesis accepted or rejected?


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Peer Review

Submitting research to experts in the field

  • Give feedback

  • Double check your process

  • Check for biases

  • Make sure your research is truthful and valid


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Replication

“Good” research can be replicated

  • utilized the same variables

  • utilizes the same operational definitions

  • hopefully you get results that further support or refute your hypothesis


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Reliability

  • Replication improves reliability of the results

  • If you replicate with different samples → more reliable


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Experiments

Hypothesis will look at a cause and effect relationship

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Independent Variable

the factor that is changed or manipulated by the researcher

the “cause”

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Dependent Variable

The factor that is influenced by the independent variable

The “Effect”

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Cofounding Variable

Any other factor that, if not controlled, can influence the results

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Experiments after getting a random sample

Grouping

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Experimental Group

Receives Variable

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Control Group

Does not receive variable

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Assignments into the groups should be RANDOM

Sample then assign

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Placebo

Inactive treatment given to prevent participants from knowing which group they are in

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Placebo effect

Participants in control group have a perceived or real change in condition

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Single Blind

Participants do not know if they are receiving the variable (experimental group) or placebo (control group)

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Double Blind

The participants & researchers do not know which group is receiving the variable (experimental group) or placebo (control group).

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Experimenter Bias

When a researchers beliefs or expectations influence the outcome or interpretation of a study

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Case Study

In depth examination of a person, event, or group

  • Can give good insight into psychological phenomena

  • Replication is difficult

  • CANNOT determine cause and effect


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Naturalistic Observation

Observes behavior of subjects

  • Subjects in their natural environment

  • Researchers do not interfere

  • CANNOT DETERMINE CAUSE AND EFFECT


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Correlation Study

Focuses on RELATIONSHIP between variables

  • Does not manipulate variables

  • Looks for patterns, trends, and links

  • CANNOT DETERMINE CAUSE AND EFFECT


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Meta-Analysis

Put together data from multiple studies

  • Helps produce a single conclusion

  • Makes findings more clear and reliable

  • CANNOT DETERMINE CAUSE AND EFFECT


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Experiment Big Ideas

Researchers manipulate variables

CAN determine cause and effect

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Non Experiment Big Ideas

Shows patterns and relationships between variables

CANNOT DETERMINE CAUSE AND EFFECT

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Research Method: Quantitive

  • Data that is numerical


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Research Method: Qualitive

  • Data that is open ended narrative


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Bias

a systematic, often unconscious error in thinking or judgment that distorts how we perceive and interpret the world

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Wording Effects

Changes in wording that can influence responses

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Self Reporting Bias

inaccurate data based off the subject

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Informed Consent

  • Participants AGREE to be in the study.

  • Participants have all necessary information to decide


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Informed Assent

For minors

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Protection from Harm

Researchers must protect participants from physical or psychological harm.

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Right to Withdrawal

Participants can leave the study AT ANY TIME

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Deception

  • Intentionally misleading participants about a part of the study.

  • Must be justified and necessary for the study


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Confederates

  • People who appear to be participants but are actually working with the researchers

  • AKA: Actors


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Confidentiality

Researchers must protect participant’s personal information and identities

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Debriefing

Researchers explain the true purpose of study

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Institutional Review Board (IRB)

  • A committee that reviews research involving human participants before the study begins.

  • Decides if a study is following ethical guidelines.


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Correlation Research

Non Experimental

  • Focuses on relationship between variables

  • Looks at patterns, trends, and links.


CANNOT PROVE CAUSE AND EFFECT


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Illusory Correlations

  • the perception of a relationship between 2 variables when one does not exist


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Directional Problem

occurs when 2 variables are related but it is unclear which variable is the cause and which is the effect

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Bidirectional Influence

occurs when 2 variables are related and influence each other (aka: bidirectionality)

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Third Variable Problem

an unmeasured variable ( c ) influences both variables being studied

  • Creates a false impression that the variables (A&B) are related.


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Relationship and Direction (Positive)

  • Direct relationship

  • When one variable is high, the other is high


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Relationship and Direction (Negative)

  • Inverse relationship

  • When one variable is high, the other is low


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Relationship and Direction (No Correlation)

  • Graph shows no pattern, slope, or grouping.


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Correlation Coefficient

Numerical value that tells you:

  1. How strong a relationship is between 2 variables

  2. What “direction” the relationship is


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Mean

the average of the data set

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Median

Value that fills in the center of the data

  • Need to order data in chronological order!


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Mode

Value that occurs most frequently

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Distribution Curves

A graph that shows how data is spread out across a range of values

  • Helps visualize the frequency of different values

  • Used to identify patterns and trends in psychological data


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Normal Curve

A bell shaped symmetrical curve that shows data is distributed

  • Most scores cluster around the mean (average) with fewer scores at the extremes


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Distribution Curves

Skewed

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Negative Skew

Low scoring outliers have pulled the mean lower than the majority of points

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Positive Skew

High scoring outliers pull the mean higher than the majority of data points

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Bimodal

A distribution with 2 peaks/modes

  • Indicates the two common values or groups in the data


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Measures of Variation

A statistical value that tells us how much scores in a set of data differ from each other.

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Range

Difference between the highest and lowest data values

  • max-min

  • Difference (minus)


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Standard Deviation

A measure of how much scores vary around the mean

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High Standard Deviation

Values are spread further apart

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Low Standard Deviation

Values are clustered around the mean

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The Empirical Rule +- 1 Standard Deviation

68% of the data falls with one standard deviation of the mean

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The Empirical Rule +- 2 Standard Deviation

95% of data falls within two standard deviations of the mean

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The Empirical Rule +- 3 Standard Deviation

99.7% of the data falls within three standard deviations of the mean