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behaviorism
A psychological approach that emphasizes environmental influences on observable behaviors.
Big Data
Science that uses very large data sets and advanced computational methods to discover patterns that would be difficult to detect with smaller data sets.
Biopsychosocial model
An approach to psychological science that integrates biological factors, psychological processes, and social-contextual influences in shaping human mental life and behavior.
Critical thinking
Systematically questioning and evaluating information using well-supported evidence.
Culture
The beliefs, values, rules, norms, and customs that exist within a group of people who share a common language and environment.
Data ethics
The branch of philosophy that addresses ethical issues in data sciences, including data accessibility, identifiability, and autonomy.
Distributed practice
Learning material in several bursts over a prolonged time frame.
Diversity and inclusion
The value and practice of ensuring that psychological science represents the experiences of all humans.
Elaborative interrogation
Learning by asking yourself why a fact is true or a process operates the way it does.
Epigenetics
The study of biological or environmental influences on gene expression that are not part of inherited genes.
Functionalism
An approach to psychology concerned with the adaptive purpose, or function, of mind and behavior.
Interleaved practice
Switching between topics during studying.
Mind/body problem
A fundamental psychological issue: Are mind and body separate and distinct, or is the mind simply the physical brain’s subjective experience?
Natural selection
In evolutionary theory, the idea that those who inherit characteristics that help them adapt to their particular environments have a selective advantage over those who do not.
Nature/nurture debate
The arguments concerning whether psychological characteristics are biologically innate or acquired through education, experience, and culture.
Open science movement
A social movement among scientists to improve methods increase research transparency, and promote data sharing.
Psychological science
The study, through research, of the mind, brain, and behavior.
Replicability
The likelihood that the results of a study would be very similar if it were run again.
Retrieval-based learning
Learning new information by repeatedly recalling it from long-term memory.
Self-explaination
Reflecting on your leaning process and trying to make sense of new material in your own words.
Steam of consciousness
A phrase coined by William James to describe each person’s continuous series of ever-changing thoughts.
accuracy
a degree to which an experimental measure is free from error
bayesian statistics
A class of statistics that combines existing beliefs with new data to update the estimated likelihood that a belief is true
case study
A descriptive research method that involves the intensive examination of an atypical person or organization
central tendency
A measure that represents the typical response or the behavior of a group as a whole
confound
Anything that affects a dependent variable and that may unintentionally vary between the experimental conditions of a study
control group
The participants in a experiment who receive no intervention or who receive an intervention that is unrelated to the independent variable being investigated
correlational studies
A research method that describes and predicts how variables are naturally related in the real world, without any attempt by the researcher to alter them or assign causation between them
culturally sensitive research
Studies that take into account the role that culture plays in determining thoughts, feelings, and actions
data
Measurements gathered during the research process
dependent variable
The variable that is measured in a research study
descriptive research
Research methods that involve observing behavior to describe that behavior objectively and systematically
descriptive statistics
Statistics that summarize the data collected in a study
directionality problem
A problem encountered in correlational studies; the researchers find a relationship between two variables, but they cannot determine which variable may have caused changes in the other variable
experiment
A research method that tests causal hypotheses by manipulating and measuring variables
experimental group
The participants in an experiment who receive the treatment
experimentation aversion
A tendency for people to prefer to receive an untested treatment than to participate in a randomized study to evaluate the effectiveness of the treatment
external validity
The degree to which the findings of a study can be generalized to other people, settings, or situations
false positive
A result that occurs when there is no real effect but a study produces a statistically significant result by chance
HARKing
“Hypothesizing after the results are known” instead of generating a theory before running the study and analyzing the results
hypothesis
A specific, testable prediction, narrower than the theory it is based on
independent variable
The variable that is manipulated in a research study
inferential statistics
A set of procedures that enable researchers to decide whether differences between two or more groups are probably just chance variations or whether they reflect true differences in the populations being compared
institutional review boards (IRBs)
Groups of people responsible for reviewing proposed research to ensure that it meets the accepted standards of science and provides for the physical and emotional well-being of research participants
internal validity
The degree to which the effects observed in an experiment are due to the independent variable and not to confounds
mean
A measure of central tendency that is the arithmetic average of a set of numbers
median
A measure of central tendency that is the value in a set of numbers that falls exactly halfway between the lowest and highest values
meta-analysis
A “study of studies” that combines the findings of multiple studies to arrive at a conclusion
mode
A measure of central tendency that is the most frequent score of value in a sry of numbers
naturalistic observation
A type of descriptive study in which the researcher is a passive observer, separated from the situation and making no attempt to change or alter ongoing behavior
operational definition
A definition that qualifies and quantifies a variable so the variable can be understood objectively
participant observation
A type of descriptive study in who h the researcher is involved in the situation
p-hacking
Testing the same hypothesis using statistical tests in different variations until one produces a statistically significant result
population
Everyone in the group the experimenter is interested in
preregistration
Documenting a study’s hypotheses, methods, and analysis plan ahead of time and publishing it on a time-stamped website
questionable research practices
Practices that unintentionally make the research less replicable
random assignment
Placing research participants into the conditions of an experiment in such a way that each participant has an equal chance of being assigned to any level of the independent variable
reliability
The degree to which a measure is stable and consistent over time
replication
Repetition of a research study to confirm or contradict the results
research
A scientific process that involves the careful collection, analysis, and interpretation of data
sample
A subset of a population
scatterplot
A graphical depiction of the relationship between two variables
scientific method
A systematic and dynamic procedure of observing and measuring phenomena, used to achieve the goals of description, prediction, control, and explaination; it involves an interaction along research, theories, and hypotheses
self-report methods
Methods of data collection in which people are asked to provide information about themselves, such as in surveys or questionnaires
standard deviation
A statistical measure of how far away each value is, on average, from the mean
theory
A model of interconnected ideas or concepts that explains what is observed and makes predictions about future events. Theories are based on empirical evidence.
third variable problem
A problem that occurs when the researcher cannot directly manipulate variables; as a result, the researcher cannot be confident that another, unmeasured variable is not the actual cause of differences in the variables of interest.
variability
In a set of numbers, how widely dispersed the values are from each other and from the mean
variable
Something in the world that can vary and that a researcher can manipulate, measure, or both
correlation coefficient
A descriptive statistic that indicates the strength and direction of the relationship between two variables
construct validity
The extent to which variables measure what they are supposed to measure