Soc midterm 2 vocab!

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51 Terms

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Population

the entire set of entities to which study findings are to be generalized

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Sample

a subset of a population used to study the population

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Representative sample

a sample that has the same distribution of characteristics as the population from which it was selected

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Elements

the individual members of the population whose characteristics are measured

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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)

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Sampling units

units listed at each stage of a multistage sampling design. primary secondary and tertiary. ex: countries, neighborhoods, blocks, households

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Inferential statistics

mathematical tool for estimating the likelihood that a statistical result derived from a probability sample is representative of the population

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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

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How do you reduce sampling error?

INCREASE SAMPLE SIZE, ensure representative of population

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What are the types of probability sampling methods?

  1. simple random sampling

  2. systematic random sampling

  3. stratified random sampling

  4. cluster sampling

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Simple random sampling

Every element is selected on the basis of chance

  • random number generator, lottery

  • computer generated, random-digit dialing

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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

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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!

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Proportionate stratified random sampling

elements are selected from strata IN PROPORTION to their representation in the population

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Cluster sampling

cases are selected in 2 or more stages

  1. random selection of naturally occurring clusters

    1. random selection of cases within clusters

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What are the types of non-probability sampling?

  1. Availability/ convenience sampling

  2. snowball sampling

  3. purposive sampling

  4. quota sampling

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Availability/ convenience sampling

elements are selected on the basis of convenience

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Snowball sampling

individuals who have agreed to participate give researcher contact info for others who would be appropriate for the study

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Purposive sampling

investigator relies on his/ her judgment to select units for a purpose often because the units are representative of the population

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Quota sampling

similar to stratified random sampling but elements are chosen with convenience samples

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Units of analysis

level social life on which a research question is focused. ex: individuals, couples, families, organizations, cities, etc.

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Ecological fallacy

drawing conclusions about individuals with group level data

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Reductionist fallacy

drawing conclusions about groups with individual level data

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Nomothetic

relating to or dealing with abstract, general, or universal statements or laws.

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Nomothetic causal explanation

establishing that change in the IV creates change in the DV

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Idiographic

relating to or dealing with something concrete, individual, or unique

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Idiographic causal explanation

the individual sequence of factors that create a specific outcome

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Criteria for establishing nomothetic causality

  1. association/ correlation

  2. time order

  3. nonspuriousness

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Cross-sectional

data collected at one point in time

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Longitudinal

data collected at 2 or more points in time

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Repeated cross-sectional

(trend study) same population diff people

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Panel study

going back to the same sample and population

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Cohort study

Event-based study: people who experience an event at the same time (can be repeated cross-sectional or panel)

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Mediator

a variable that creates a causal connection between the IV and DV. ex: parenthood—→work—→depression

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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.

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Whats the best way to establish time order?

panel studies

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How to establish nonspuriosness in survey research?

USE CONTROL VARIABLES

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What does the variables in the experimental design notation mean?

R=random assignment

O=observation of the DV

X=treatment, IV

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Posttest only control group design

R X O

R O

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Pretest- Posttest only control group design

R O X O

R O O

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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

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Factorial surveys

true experiments conducted through a survey, each having exposure to diff textual stimuli (vignette experiments)

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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.

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Nonequivalent control group design

O X O

O O

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Time series control group design

O1O2O3………O30 X O31……….O60

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Internal validity

sound evidence regarding the extent to which the IV has causal influence on the DV.

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Threats to internal validity

  1. history

  2. maturation

  3. testing

  4. instrumentation

  5. selection bias

  6. differential attrition

  7. expectancies of the experimental staff

  8. placebo effect

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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

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external validity

extent to which experimental findings are generalizable to other settings, subject populations and time periods

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threats to external validity

caused by an interaction (moderation) between the treatment and some other feature of the experiment

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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