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Population
the entire set of entities to which study findings are to be generalized
Sample
a subset of a population used to study the population
Representative sample
a sample that has the same distribution of characteristics as the population from which it was selected
Elements
the individual members of the population whose characteristics are measured
Sampling frame
the list of elements or sampling units from which the sample is selected.
list all elements (roster of employees)
a rule defining membership (area code)
Sampling units
units listed at each stage of a multistage sampling design. primary secondary and tertiary. ex: countries, neighborhoods, blocks, households
Inferential statistics
mathematical tool for estimating the likelihood that a statistical result derived from a probability sample is representative of the population
Sampling error
the difference between the characteristics of a sample and the characteristics of the population from which it was drawn
depends on heterogeneity and sample size
How do you reduce sampling error?
INCREASE SAMPLE SIZE, ensure representative of population
What are the types of probability sampling methods?
simple random sampling
systematic random sampling
stratified random sampling
cluster sampling
Simple random sampling
Every element is selected on the basis of chance
random number generator, lottery
computer generated, random-digit dialing
Systematic random sampling
Every nth case in a list is selected for inclusion in the sample, where n is the sampling interval. N= population size divided by sample size. First element selected at random between 1 and n
Stratified random sampling
sample elements are selected separately and at random from population strata that are identified in advance
reduces sampling error
should be related to DV!
Proportionate stratified random sampling
elements are selected from strata IN PROPORTION to their representation in the population
Cluster sampling
cases are selected in 2 or more stages
random selection of naturally occurring clusters
random selection of cases within clusters
What are the types of non-probability sampling?
Availability/ convenience sampling
snowball sampling
purposive sampling
quota sampling
Availability/ convenience sampling
elements are selected on the basis of convenience
Snowball sampling
individuals who have agreed to participate give researcher contact info for others who would be appropriate for the study
Purposive sampling
investigator relies on his/ her judgment to select units for a purpose often because the units are representative of the population
Quota sampling
similar to stratified random sampling but elements are chosen with convenience samples
Units of analysis
level social life on which a research question is focused. ex: individuals, couples, families, organizations, cities, etc.
Ecological fallacy
drawing conclusions about individuals with group level data
Reductionist fallacy
drawing conclusions about groups with individual level data
Nomothetic
relating to or dealing with abstract, general, or universal statements or laws.
Nomothetic causal explanation
establishing that change in the IV creates change in the DV
Idiographic
relating to or dealing with something concrete, individual, or unique
Idiographic causal explanation
the individual sequence of factors that create a specific outcome
Criteria for establishing nomothetic causality
association/ correlation
time order
nonspuriousness
Cross-sectional
data collected at one point in time
Longitudinal
data collected at 2 or more points in time
Repeated cross-sectional
(trend study) same population diff people
Panel study
going back to the same sample and population
Cohort study
Event-based study: people who experience an event at the same time (can be repeated cross-sectional or panel)
Mediator
a variable that creates a causal connection between the IV and DV. ex: parenthood—→work—→depression
Moderators
variables that affect the nature of the relationship between the IV and DV. Ex: age moderates the effect of time-out punishments on obedience.
Whats the best way to establish time order?
panel studies
How to establish nonspuriosness in survey research?
USE CONTROL VARIABLES
What does the variables in the experimental design notation mean?
R=random assignment
O=observation of the DV
X=treatment, IV
Posttest only control group design
R X O
R O
Pretest- Posttest only control group design
R O X O
R O O
Field experiments
true experiments carried out in a natural setting.
increases internal validity
difficult to carry out
less control over uniformity
less control over compliance
Factorial surveys
true experiments conducted through a survey, each having exposure to diff textual stimuli (vignette experiments)
Quasi experiments
an experimental design with a comparison group that wasn’t created with random assignment but is comparable in critical ways to the experimental group.
Nonequivalent control group design
O X O
O O
Time series control group design
O1O2O3………O30 X O31……….O60
Internal validity
sound evidence regarding the extent to which the IV has causal influence on the DV.
Threats to internal validity
history
maturation
testing
instrumentation
selection bias
differential attrition
expectancies of the experimental staff
placebo effect
How to address internal validity threats?
a control group with random assignment
double blind study
Make experience in conditions as similar as possible to fix differential attrition
external validity
extent to which experimental findings are generalizable to other settings, subject populations and time periods
threats to external validity
caused by an interaction (moderation) between the treatment and some other feature of the experiment
How to address external validity threats?
 Replicate the study on a different subject pool, use a factorial survey so you can get a probability sample from population