Psychology Key Terms: Bias, Variables, Research Methods, and Data Analysis

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Last updated 12:39 PM on 9/25/26
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40 Terms

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Confirmation Bias

the tendency to look for or notice info that supports what you already believe while ignoring info that disagrees

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Hindsight bias-The tendency to believe, after something happens, that you knew it would happen all along

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Overconfidence

The tendency to be more confident in your knowledge or abilities than is justified by the evidence

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Independent vs. Dependent Variable

IV; The variable that is changed or controlled in an experiment. DV; The variable that is measured to see whether it was affected by the independent variable

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Random Assignment

Placing participants into different experimental groups by chance, helping make the groups similar

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Case Study

An in-depth investigation of one person, group, or situation

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Correlation

A relationship between two variables in which changes in one variable are associated with changes in another; doesn't = causation

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Meta

- A study that combines the results of many previous studies to find an overall pattern or conclusion

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Naturalistic Observation

Observing and recording behavior in a person's or animal's normal environment without interfering

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Hypothesis

A testable prediction about the relationship between variables

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Falsifiable Hypothesis

A hypothesis that can be tested and possibly proven false

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Operational Definitions

Specific, measurable descriptions of how a researcher will define and measure a variable

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Confounding Variables / Third Variable Problem

An outside variable that affects the results and can make it difficult to determine whether one variable actually caused a change in another

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Histogram

A graph that shows how numerical data was distributed across intervals or ranges

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Scatterplot (Correlational Coefficient)

A graph that uses dots to show the relationship between two numerical variables

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Central Tendency

A way of describing the typical or center value of a set of data, usually using the mean, median, or mode

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Variation

The amount by which data values differ from one another

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Percentile Rank

The percentage of scores that fall at or below a particular score

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Range

The difference between the highest and lowest values in data

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Population

The entire group of people or subjects that a researcher wants to study

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Representative Sample

A smaller group that closely reflects the important characteristics of the population being studied

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Random Sample

A sample chosen so that every member of the population has an equal or known chance of being selected

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Convenience Sampling

Choosing participants because they are easy for the researcher to reach

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Sampling Bias

A problem that occurs when the sample does not accurately represent the population

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Generalization

Applying the results of a study to a larger population beyond the participants who were studied

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Experimental Group

The group in an experiment that receives the treatment or independent variable being tested

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Control Group

The group that does not receive the experimental treatment and is used for comparison

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Placebo

An inactive treatment that looks like real treatment and is used as a comparison

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Single Blind

A study in which the participants do not know which group they are in, but researchers do

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Double Blind

A study in which neither the participants nor the researchers directly interacting with them know who is receiving the treatment

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Experimenter Bias

When a researcher's expectation unintentionally influence how a study is conducted or interpreted

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Social Desirability Bias

When people give answers they think will make them look better or more socially acceptable

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Qualitative (Structured Interviews)

Research that collects non-numerical info, such as people's experiences, opinions, or descriptions

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Quantitative Measures (Likert Scales)

Measures that collect numerical data that can be counted or statistically analyzed

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Peer Review

When other experts evaluate a research study before it's published

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Replication

Repeating a study to see whether similar results can be obtained again

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Statistical Significance

A statistical indication that a result is unlikely to have occurred simply because of random chance, based on a chosen significance level

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Size of Sample and Statistical Significance

Larger samples generally provide more precise estimates and can make it easier to detect statistically significant effects, although a large sample doesn't automatically make an effect meaningful

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Self Report Bias

Errors that occur when people report info about themselves inaccurately, intentionally or unintentionally

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Social Desirability Bias

When someone gives an answer they think will make them look better or more socially acceptable