Exam 2 Flashcards
Chapters 5-8
What is Availability Sampling?
elements are selected because they’re easy to find (available)
What is a Cluster?
a naturally occurring, mixed aggregate of elements in the population
What is Cross Population Generalizability?
ability to generalize findings from 1 group, population, or setting to other groups, populations, or settings
What is a disproportionate stratified random sample?
elements are selected from strata in different proportions to their actual numbers in the population
What is a ecological fallacy?
when a researcher draws conclusions about
individual-level processes based on group-level data
What are elements?
they are selected separately from the population & identified in advance
What is Generalizability (external validity)?
the degree to which the results of a study can be applied to a broader population or context beyond the specific sample studied
what is a multi-stage cluster sample?
Sampling in which elements are selected in 2 or more stages with the 1st stage being a random selection of natural clusters & the last stage being random
selection of elements within those clusters
what is a multi-stage sample?
where the sample is selected using 2 or more stages. The units selected within each stage are sampling units, but typically one set of these sampling units are the elements.
what are the non-probability sampling methods?
Availability sample, Quota sample, Purposive sample, and Snowball sample
what is the non-response?
people who don’t participate in the study although they are selected for the sample
what is the population?
the entire set of elements that we’re interested in (& that we want to generalize about)
what are probability sampling methods?
Simple random sample, Systematic random sample, Stratified random sample (proportionate stratified
random sample and disproportionate stratified
random sample) and, Multistage cluster sample
what is a proportionate stratified random sample?
each strata would be represented in proportion to their actual numbers in the population
what is a purposive sample?
each element is selected for a purpose, usually because of their unique position or special knowledge
what is a quota sample?
elements are selected to ensure the sample has certain characteristics in proportion to their numbers in the population. You’re meeting a “quota” based on a single characteristic
what is reductionist fallacy (reductionism)?
when a researcher draws conclusions about group-level processes based on individual-level data
what is a Sample?
a subset of elements (individuals or entities) from the larger population that we’re interested in
what is a sampling error?
any difference between the characteristics of a sample & the characteristics of the population from which it was selected
what are sampling units?
units selected at each stage of a multi-stage design, who may or may not be the study elements. Information about the elements may be gathered from other sampling units.
what are simple random sample?
Every sample element is selected only on the basis of chance through a random process. Requires a procedure that generates numbers or identifies cases just based on chance (e.g., rolling a die, random number table)
what are single-stage samples?
individuals are sampled (they’re the sampling units) and they are the focus of the study (elements)
what is a snowball sample?
identify 1 member of the population & they recruit
more participants for study inclusion
Systematic random sample
Similar to simple random sampling, but less time-consuming. The first element is selected randomly from a list & then every nth element is selected afterward
what are units of analysis?
the units under study (typically- individuals). They are
the level of social life on which the research question is focused
2 comparison groups
1 receiving the experimental condition (treatment
or intervention) AKA experimental group; and 1 receiving no treatment or intervention AKA control group
2 conditions important in specifying causal relationships
Mechanism and context
3 conditions required to establish cause and effect (causality)
empirical association, appropriate time order, and non-spuriousness
3 sources of treatment misidentification
expectancies of experimental staff, placebo effect, and hawthorne effect
Assessment of change (posttest)
in the DV for both groups after the experimental
condition has been applied (AKA posttest)
Before-and-after design
Has a pretest & posttest but no comparison group (only an experimental group)
Cause and effect (causality)
occurs if variation in the IV is followed by variation in the DV, when all potentially relevant factors are taken into consideration
what is a cohort?
people who have all experienced a similar event or common starting point
what is contamination?
when either the experimental group or the
comparison group is aware of the other group