11 - Design Tools Flashcards
A factor or attribute that can assume two or more values : ___________________
A variable
T or F: variables can vary, variability is wonderful in some cases but not others
T
________ is all possible values that a variable can have
Domain
Smallest domain is ______
2 (dichotomous, binary)
Properties that vary in a type of attribute (ex: sex, religion, eye color, marital status): _________
Qualitative variable
Properties that are different in amount (ex: weight, height, blood pressure): __________
Quantitative variable
Explain what are discrete variables:
Quantitative adjacent variable, in which no intermediate values are possible
Explain what are continuous variables;
Intermediate values are possible in between two adjacent scale values (ex: weight, height, blood pressure)
T or F: in practice continuous variables are converted to discrete variables
T
The independent variable is on the __ axis and the dependent variable is on the __ axis
x
y
Presumed causal factor in a cause-effect relationship, in an experiment, this is what you manipulate:
independent variable
Presumed effect in a cause-effect relationship, in an experiment, this is the outcome you measure (Y-axis)
dependent variable
A 3rd variable to explain why the two are linked …. lies on the causal pathway: ______________
mediator variable
Variable that alters the strength of the relationship, aka interaction terms or effect modification:
moderating variable
Variable (C) that correlates both with X and Y, not in the causal pathway, causes confusion in the true relationship: __________
confounding variable
