Chapter One Flashcards
(26 cards)
Variable
Any characteristic recorded for a case
Ex: age, gender
Case
Objects we obtain information about
Categorical Variable
Divides cases into groups. Each case fits into exactly one out of 2+ categories
Quantitative Variables
Measures/ records a numerical quantity for each case. Quantitative
Population
All individuals or objects of interest
Sample
Subset of the population (denoted by n)
Sampling bias
The method of selecting a sample causes the sample to differ from the population
Simple random sample
Each unit of the population has the same chance of being selected
Sampling/ selection bias
Participants aren’t representative of the population
Non response bias
Participants included don’t participate
Response bias
Participants who respond are motivated/ pressured to respond in ways that don’t represent their true feelings
Question wording
The way questions are phrased influences the way participants respond
Inaccurate responses
Forms of bias lead participants to picking answers that don’t represent their true feelings
Association
Values of one variable tend to be related to the values of the other variable
Causation
Changing the value of one variable influences the value of the other variable
Confounding variable
3rd variable associated with both explanatory and response variable. Can offer a plausible explanation or complication between 2 variables of interest
Observational study
Researcher doesn’t actively control the value of any variable but observes values
Randomized experiment
The value of the explanatory variable for each unit is determined randomly, before the response is measured.
Determining causality
Can only be done through a randomized experiment, since it evens out the influence of a confounding variable
Randomized comparative experiment
Randomly assign cases to different treatment groups and compare results on the response variables
Matched pairs experiment
Each case gets both treatment in random order, or cases get paired up. Allows us to examine individual differences in the response variable between the two treatments
Control group
Allows for comparison to see if there’s a difference from before the experiment to after
Placebo effect
People experience the effect they think they should be experiencing, even if they aren’t receiving treatment
Single blind experiment
Participants don’t know if they’re being given a real o placebo treatment