Intro and Methods Flashcards
Causality
Being able to say that 1 variable is a direct result of another variable
Construal
How people perceive, comprehend, and interpret the world around them
Construct
An intangible representation of a behavior or phenomenon around which research is based
Control: group:
group with set of base variables that do not change
Correlation:
Relationship between two variables, can be -1:1
Debriefing:
Must occur after all experiments where there is deception
Demand Characteristics:
A bias where experimenters expectation causes the subjects to perform in the demanded way
Experimental group:
Compared against control group usually by changing 1 or 2 variables
Experimental study:
type of study that infers causality and attempts to explain behavior
External Validity:
When what you see is caused by real factors, things that are happening are representative of real life
Field study:
Study outside of a lab, usually some form of observation
Generalizability:
A way of seeing the if findings of your study are repeatable and applicable across many situations
Hindsight bias:
Bias where we all claim to have acted in a certain way in the past because we “knew” something would happen
Hypothesis:
A specific way to test a theory, idea about how a variable is affected by another variable
Informal consent:
What participants must give to participate in a study
Institutional Review Board:
Board that reviews ethics of experiments
Internal Validity:
Confirmation that what is happening is happening for a specific reason you are in control of
Longitudinal study:
type of observation that involves repeated observations over a long period of time
Naturalistic Observation:
Collection of data without affecting an environment
High in EV, but no private events, no control, and observer bias all are weaknesses
Operationalization:
Physical interpretation of a construct that is both tangible and testible
Study:
A scientific experiment
Placebo effect:
Thinking you took something that you didn’t actually take which causes you to act differently
Random Assignment:
Essential in experiments
Statistical significance:
When an experiment produces results that have numerical value