Week 2 Flashcards
(35 cards)
Cause-and-effect
Related to whether one variable is causing changes in the other variable, vs. other variables that may be related to these two variable
Confidence interval
An interval of plausible values for a population parameter; the interval of values within a margin of error of a statistic
Distribution
The pattern of variation in the data
Margin of error
The expected amount of random variation in the a statistic; often definition for a 95% confidence level
Parameter
A numerical result summarizing a population (ex. mean, proportion)
Population
The larger collections of individuals that we would like to generalize our results to
P-value
The probability of observing a particular outcome in a sample, or more extreme, under a conjecture about the larger population or process
Random assignment
Using a probably-based method to divide a sample into treatment groups
Random sampling
Using a probability-based method to select a subset of individuals from the population for the sample
Reliability
The consistency of a measure
Sample
The collection of individuals on which we collect data
Statistical significance
A result is statistically significant if it is unlikely to arise by chance
Validity
The degree to which a measure is assessing what it is intended to measure
Confound
Factors that undermine the ability to draw causal inferences from an experiment
Dependent variable
The variable the researcher measures but does not manipulate in an experiment
Correlation
Measures the association between two variables, or how they go together
Experimenter expectations
When the experimenter’s expectations influence the outcome of a study
Independent variable
The variable that the researcher manipulates and controls in an experiment
Longitudinal study
A study that follows the same group of individuals over time
Operational definitions
How researchers specifically measure a concept
Participant demand
When participants behave in a way that they think the experimenter wants them to behave
Placebo effect
When receiving special treatment or something new affects human behavior
Quasi-experimental design
An experiment that does not require random assignment to conditions
Ambulatory assessment
Term describing methodologies that assess the behavior, physiology, experience, and environments of humans in naturalistic settings