The basics
Claims and Validities
Sampling
Heuristics and biases
Designs
100

Type of variable that remains unchanged throughout the study.

Independent variable

100

Type of validity that assesses the extent to which the design of a study supports its conclusions.

Internal Validity

100

The way participants are allocated to conditions in a true experiment.

Randomly/ Random Sampling

100

Reliance on the first piece of information you have.

Anchoring

100

Type of research where variables are measured, not manipulated.

Correlational/ observational

200

Type of variable that is manipulated in an experiment.

Dependent Variable

200

Type of validity that assesses the extent to which the study's results generalize to other situations, people, settings, and measures.

External Validity

200

Type of sampling method where individuals who happen to be nearby and willing to participate are recruited.

Convenience sample

200

Predicting the outcome of a new scenario based on past experiences

Representativeness 

200

Type of design that collects data from one group of people across time. 

Longitudinal 

300

Nominal and ordinal scales of measurement are these types of variables.

Categorical Variables

300
Type of validity that assesses if the experiment's manipulation answers the research question. (Does it measure what it says it's measuring?)

Construct Validity

300

This type of sampling is helpful when you're studying rare populations. 

Snowball sampling

300

Processing information and looking for, or interpreting, information consistent with current beliefs.

Confirmation bias

300

A research method where all participants are exposed to every condition/level of the experiment.

Within subjects/ within groups/ repeated measures
400

An abstract concept or idea that is not directly observable, but is inferred from observable, measurable variables.

Construct

400

Type of validity that assesses the soundness of the results and use of proper analysis methods. 

Statistical Validity

400

A sampling method where participants are divided into subgroups (or strata).

Stratified random sampling

400

The tendency to remember information that has been presented recently.

Recency effect

400

ABA is an acronym used to describe these conditions in a single-case design. 

A= Baseline condition, B= Experimental condition

500

The three criteria for establishing a causal relationship. 

1) Temporal precedence, 2) Covariance (cause and effect), and 3) No third variable

500

An acronym used to describe the typical characteristics of participants studied and described in psychological research.

WEIRD populations

500

A sampling method where individuals are recruited according to specific traits or qualities as a way to represent a certain population. 

Quota Sampling

500

The tendency for memories to be heavily influenced by things that happened after the event itself. 

Misinformation effect

500

This type of research resembles true experiments but lacks a fully independent variable and does not use either random selection and/or counterbalancing. 

Quasi experiments