old test questions
Stratified random sampling is a way to ensure that
small but important subgroups of a population are captured in a sample
Which of the following sampling methods is a probability sampling method?
stratified random sampling
Correlation coefficients indicate the
strength of the relationship between two variables
We can reduce or eliminate the influence of potentially relevant variables in an experiment by
randomly assigning participants to each experimental group
Typically, what things do surveys most typically seek to find out about respondents?
attitudes, demographics, data, and behavior
The secret to high intercoder or observer reliability is
clear definitions and classifications of observed behaviors
Which of the following approaches is best suited to assess whether there are causal relationships among variables?
experiments
"Construct," "convergent," "divergent," and "predictive" are all measures of reliability.
false
Interval and ratio data are considered "discrete" variables.
false
The extent to which sample data reflect the wider population from which the sample was drawn can be estimated using which one of the following?
inferential statistics
Snowball or network sampling relies on
members of a group introducing the researcher to other members of the group
A Likert scale has response options of "strongly agree" to "strongly disagree."
true
Convenience, judgmental, quota, network, and snowball are all types of nonprobability sampling.
true
Cross-sectional surveys capture information at one moment of time.
true
Findings from web-based surveys may not be generalizable to the wider population.
true
In test-retest, a test is given to a group of people and then repeated, with the same people, a week or two later.
true
Inferential statistics are based on the assumption that the sample studied is randomly selected.
true
Inter-item reliability checks that individual questions in a set are measuring the same concept.
true
Interval measures assume an equal distance between points on a scale.
true
Ratio scales measure from a "true" zero point.
true
The larger the standard deviation of a variable, the wider its range of scores on either side of the mean.
true
With inferential statistics, we do not need large sample sizes as long as we are prepared to accept a known level of uncertainty in our projections from a sample.
true