WEEK 2 Flashcards
Cause-and-effect
Related to whether we say one variable is causing changes in the other variable, versus other variables that may be related to these two variables.
Confidence interval
An interval of plausible values for a population parameter; the interval of values within the margin of error of a statistic.
Distribution
The pattern of variation in data
Generalizability
Related to whether the results from the sample can be generalized to a larger population.
Margin of error
The expected amount of random variation in a statistic; often defined got 95% confidence level.
Parameter
A numerical result summarizing a population.
Population
A larger collection 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 conjecture about the larger population or process.
Random assignment
Using probability-based method to divide a sample into treatment groups.
Random sampling
Using a probability-based method to select a subset of individuals for the sample from the population.
Reliability
The consistency of a measure.
Sample
The collection of indictable on which we collect data.
Statistic
A numerical result computed from a sample.
Statistical significance
A result statistically significant if it is unlikely to arise by chance alone.
Validity
The degree to which a measure is assessing what it is intended to measure.
Confounds
Factors that undermine the ability to draw casual inferences from an experiment.
Correlation
Measures the association between two variables, or how they go together.
Dependant variable
The variable the researcher measures vat does not manipulate in the experiment.
Experimenter expectations
When the experimenter’s expectations influence the outcome of a study.
Independent variable
The variable 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 a special treatment or something new affects human behaviour.
Quasi-experimental design
An experiment that does not require random assignment to conditions.
Random assignment
Assigning participants to receive different conditions of an experiment by chance.
Ambulatory assessment
An overarching term to describe methodologies that assess the behaviour, physiology, experience, and environments of humans in naturalistic settings.
Daily diary method
A methodology where participants complete a questionnaire about their thoughts, feelings, and behaviour of the day at the end of the day,
Day reconstruction method (DRM)
A methodology where participants describe their experiences and h=behaviour of a given day retrospectively upon a systematic reconstruction of the following day.
Ecological momentary assessment
An overarching term to describe methodologies that repeatedly sample participants’ real-world exoeruiences, behaviour, and physiology in real-time
Ecological validity
The degree to which a study finding has been obtained under conditions that are typical for what happens in everyday life.
Electronically activated recorder (EAR)
A methodology where participants wear a small, portable audio recorder that intermittently records snippets of ambient sounds around them.
Experience-sampling method
A methodology where participants report on their momentary thoughts, feelings, and behaviours at different points in time over the course of a day.
External validity
The degree to which a finding generalizes from the specific sample and context of a study to some larger population and broader settings.
Full-cycle psychology
A scientific approach whereby researchers start with an observational field study to identify an effect in the real world, follow up with laboratory experimentation to verify the effect and oblate the causal mechanisms, and return to field study research to corroborate their experimental findings.
Generalize
Generalizing, in science, refers to the ability to arrive at broad conclusions based on a smaller sample of observations. For these conclusions to be true the sample should accurately represent the larger population from which it is drawn.
Internal validity
The degree to which a cause-and-effect relationship between two variables has been unambiguously established.
Linguistic inquiry and word count
A quantitative rear analysis methodology that automatically extracts grammatical and psychological information from a text by counting word frequencies.
Lived day analysis
A methodology where a research team follows an individual around with a video camera to objectively document a person’s daily life as it is lived.
White coat hypertension
A phenomenon in which patients exhibit elevated blood pressure in the hospital; of doctors office but not in their every day lives.
