AP Psych Unit 0

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53 Terms

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Critical thinking

doesn’t automatically accept arguments/conclusions, healthy skepticism

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Hindsight bias

after learning the outcome, thinking that you knew what it was going to be

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Peer reviewers

other scientists that evaluate work, part of the scientific method

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Theory

explains behaviors by offering ideas that organize observations, can bias hypotheses

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Hypotheses

testable prediction, implied by theory

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Falsifiability

possibility that something can be disproven, marks scientific strength for a hypothesis

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Operational definitions

a statement of the exact procedures taken during a study

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Case study

examines one example in order to find universal principles

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Naturalistic observation

non-experimental, recording behavior in natural environments

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Survey

a non-experimental technique for obtaining self-reported attitudes or behaviors of a group

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Social desirability bias

bias from people responding in ways presumed to meet researcher expectations

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Self-report bias

bias when people report their behavior inaccurately

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Sampling bias

a flawed sampling process that produces an unrepresentative sample

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Random sample

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

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Population

all those in a group being studied, from which random samples may be drawn

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Representative sample

a smaller subset of a larger group that accurately reflects specific characteristics

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Correlate

a measure of the extent to which two factors vary together and predict each other

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Correlation coefficient

a statistical index of the relationship between two things, ranging from -1.00 to +1.00

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Variables

anything that can vary and is feasible and ethical to measure

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Scatterplots

a graphed cluster of dots representing values of two variables, indicating relationship strength

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Illusory correlation

perceiving a relationship where none exists or thinking they relate more than they do

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Regression toward the mean

tendency for extreme results to regress towards the mean

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Experiment

a research method in which an investigator manipulates one or more factors to observe effects

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Experimental group

group that receives the treatment in an experiment

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Control group

group that doesn’t receive treatment for comparison with the experimental group

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Random assignment

assigning participants to different groups by chance to minimize preexisting differences

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Correlational studies

uncover relationships, complemented by experiments that manipulate factors

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Independent variable

the factor that is manipulated in an experiment

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Dependent variable

the outcome that is measured in an experiment

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Single blind procedure

participants are unaware of whether they received treatment or placebo

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Double blind procedure

both participants and research staff are unaware of treatment or placebo

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Placebo effect

experimental results caused by expectations alone, due to administration of an inert substance

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Confounding variables

other factors that can influence a study’s results

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Experimenter bias

when researchers unintentionally change results to confirm their beliefs

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Validity

the extent to which an experiment measures or predicts what it is supposed to

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Quantitative research

methods that use numerical data to represent degrees of a variable

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Qualitative research

methods that use in-depth, narrative data

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Informed consent

providing enough information for individuals to decide on participation

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Debrief

post-experimental explanation of a study, including purpose and deceptions

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Descriptive statistics

numerical data used to measure and describe characteristics of groups

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Histogram

a bar graph representing data

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Mode

the most frequently occurring score in a data set

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Mean

arithmetic average of a data set

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Median

the middle score in a distribution

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Percentile rank

the percentage of scores lower than a given score

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Skewed distribution

data that is not symmetrical around the average

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Range

the difference between the highest and lowest scores in a distribution

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Standard deviation

a measure of how much scores vary around the mean

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Normal curve

symmetrical, bell-shaped curve describing the distribution of data

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Inferential statistics

numerical data that allows application of probability from a sample to a population

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Meta-analysis

statistical procedure for analyzing many studies to reach a conclusion

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Statistical significance

how likely a result occurred by chance

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Effect size

the strength of the relationship between two variables.