AP Psychology: Unit 0 - An Introduction to Psychological Science Practices with Key Terms and Definitions

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59 Terms

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The science of behavior & mental processes

Psychology

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Perspective (theory) of psychology that views personality & behavior with a focus on the unconscious mind & the importance of childhood experience

Psychodynamic perspective

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Perspective that focuses on the effects of learning on our personality development

Behavioral perspective

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Perspective that views personality with a focus on the potential for healthy personal growth

Humanistic perspective

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Perspective that focuses on how our thought processes & decision making influences our personality

Cognitive perspective

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The scientific study of the links between biological (genetic, neural, & hormonal) & psychological processes

Biological perspective

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The study of the evolution of behavior & the mind, using principles of natural selection

Evolutionary perspective

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Perspective that studies how situations & cultures affect our behavior & thinking

Social-cultural perspective

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Thinking that does not automatically accept arguments & conclusions; rather, it examines assumptions, appraises the source, discerns hidden biases, evaluates evidence, & assesses conclusions

Critical thinking

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The tendency to believe, after learning an outcome, that one would have foreseen it (also known as the I-knew-it-all-along phenomenon)

Hindsight bias

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Scientific experts who evaluate a research article's theory, originality, & accuracy

Peer reviewers

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An explanation using an integrated set of principles that organizes observations & predicts behaviors or events

Theory

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A testable prediction, often implied by a theory

Hypothesis

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The possibility that an idea, hypothesis, or theory can be disproven by observation or experiment

Falsifiable

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A carefully worded statement of the exact procedures (operations) used in a research study; for example, human intelligence may be operationally defined as what an intelligence test measures (also known as operationalization)

Operational definition

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Repeating the essence of a research study, usually with different participants in different situations, to see whether the basic finding can be reproduced

Replication

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A non-experimental technique in which one individual or group is studied in depth in the hope of revealing universal principles

Case study

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A non-experimental technique of observing & recording behavior in naturally occurring situations without trying to manipulate & control the situation

Naturalistic observation

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Anything that can vary & is feasible & ethical to measure

Variable

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A non-experimental measure of the extent to which two factors vary together, & thus of how well either factor predicts the other

Correlation

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A statistical index of the relationship between two variables (from -1.00 to +1.00)

Correlation coefficient

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A graphed cluster of dots, each of which represents the values of two variables; the slope of the points suggests the direction of the relationship between the two variables; the amount of scatter suggests the strength of the correlation (little scatter indicates high correlation)

Scatterplot

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Perceiving a relationship where none exists, or perceiving a stronger-than-actual relationship

Illusory correlation

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The tendency for extreme or unusual scores or events to fall back (regress) toward the average

Regression toward the mean

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A non-experimental statistical procedure for analyzing the results of multiple studies to reach an overall conclusion

Meta-analysis

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A tool for obtaining the self-reported attitudes or behaviors of a particular group, usually by questioning a representative, random sample of the group

Survey

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Bias from people's responding in ways they presume a researcher expects or wishes

Social desirability bias

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Bias when people report their behavior inaccurately

Self-report bias

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A flawed sampling process that produces an unrepresentative sample

Sampling bias

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A sample that fairly represents a population because each member has an equal chance of inclusion

Random sample

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All those in a group being studied, from which random samples can be drawn (Note: Except for national studies, this does not refer to a country's whole population)

Population

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A research method in which an investigator manipulates one or more factors (independent variables) to observe the effect on some behavior or mental process (the dependent variable); by random assignment of participants, the experimenter aims to control other relevant factors

Experiment

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In an experiment, the group exposed to the treatment - that is, to one version of the independent variable

Experimental group

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In an experiment, the group not exposed to the treatment; contrasts with the experimental group & serves as a comparison for evaluating the effect of the treatment

Control group

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Assigning participants to experimental & control groups by chance, thus minimizing preexisting differences between the different groups

Random assignment

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An experimental procedure in which the research participants are ignorant (blind) about whether they have received the treatment or a placebo

Single-blind procedure

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An experimental procedure in which both the research participants & the research staff are ignorant (blind) about whether the research participants have received the treatment or a placebo; commonly used in drug-evaluation studies

Double-blind procedure

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Experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition, which the recipient assumes is an active agent

Placebo effect

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In an experiment, the factor that is manipulated; the variable whose effect is being studied

Independent variable

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In an experiment, the outcome that is measured; the variable that may change when the independent variable is manipulated

Dependent variable

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In an experiment, a factor other than the factor being studied that might influence a study's result

Confounding variable

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Bias caused when researchers may unintentionally influence results to confirm their own beliefs

Experimenter bias

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The extent to which a test or experiment measures or predicts what it is supposed to

Validity

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A research method that relies on quantifiable, numerical data

Quantitative research

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A research method that relies on in-depth, narrative data that are not translated into numbers

Qualitative research

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Giving potential participants enough information about a study to enable them to choose whether they wish to participate

Informed consent

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The post experimental explanation of a study, including its purpose & any deceptions, it its participants

Debriefing

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Numerical data used to measure & describe characteristics of groups; include measures of central tendency & measures of variation

Descriptive statistics

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A bar graph depicting a frequency distribution

Histogram

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The most frequently occurring score(s) in a distribution

Mode

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The arithmetic average of a distribution, obtained by adding the scores & then dividing by the number of scores

Mean

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The middle score in a distribution; half the scores are above it & half are below it

Median

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A representation of scores that lack symmetry around their average value

Skewed distribution

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The difference between the highest & lowest scores in a distribution

Range

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A computed measure of how much scores vary around the mean score

Standard deviation

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A symmetrical, bell-shaped curve that describes the distribution of many types of data; most scores fall near the mean (about 68% fall within one standard deviation of it) & fewer & fewer scores lie near the extremes (also called a normal distribution)

Normal curve

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Numerical data that allow one to generalize - to infer from sample data the probability of something being true of a population

Inferential statistics

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A statistical statement of how likely it is that a result (such as a difference between samples) occurred by chance, assuming there is no difference between the populations being studied

Statistical significance

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The strength of the relationship between two variables; the larger the effect size, the more one variable can be explained by the other

Effect size