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Sample
A subset of individuals from a larger population used to make inferences about the whole.
Sampling Frame
A list or database from which a sample is drawn (e.g., a list of registered voters).
Element
The individual unit of analysis in a sample (e.g., a person, a household, a school).
Sampling Error
The difference between sample results and the true population values due to chance.
Sampling Unit
The entity selected at each stage of sampling (e.g., individuals, groups, organizations).
Representative Sample
A sample that accurately reflects the characteristics of the population.
Sample Generalizability
The extent to which findings from a sample apply to the larger population.
Cross-Population Generalizability (External Validity)
The extent to which findings apply across different populations or settings.
Simple Random Sampling
Every element has an equal chance of being selected.
Systematic Random Sampling
Selecting every kth element from a list (e.g., every 10th person).
Stratified Random Sampling
Dividing the population into strata and randomly sampling within each stratum.
Cluster Sampling
Groups (clusters) are randomly selected, then individuals within them are sampled.
Convenience Sampling
Selecting individuals based on ease of access.
Purposive (Judgmental) Sampling
Selecting individuals who fit a specific criterion.
Snowball Sampling
Participants recruit others (useful for hard-to-reach populations).
Quota Sampling
Ensuring the sample meets a predetermined demographic quota.
Empirical Association
A relationship exists between variables.
Temporal Order
The cause must precede the effect.
Non-Spuriousness
No alternative explanations (confounding variables) exist.
Independent Variables
The variable that is manipulated in an experiment (the cause).
Dependent Variables
The variable that is measured in an experiment (the effect).
Pretest & Posttest Measures
Measurements taken before and after a treatment.
Random Assignment
Participants randomly assigned to groups.
Experimental Groups
Groups that receive the treatment in an experiment.
Control Groups
Groups that do not receive the treatment in an experiment.
Internal Validity
The degree to which a study accurately shows a causal relationship.
Selection Bias
Non-random groups leading to biased results.
History Effects
Outside events affecting study results.
Maturation
Natural changes over time affecting study results.
Testing Effects
Learning from previous tests affecting study outcomes.
Instrumentation
Changes in measurement methods affecting study results.
Regression to the Mean
Extreme scores shifting toward the average.
Trend Studies
Data collected at different times from different samples.
Panel Studies
The same individuals are followed over time.
Cohort Studies
A specific group is studied over time.
Uniform Crime Report (UCR)
Official police-reported crime data.
National Crime Victimization Survey (NCVS)
Self-reported victimization survey.
Leading Questions
Questions that suggest a particular response.
Double-Barreled Questions
Questions that ask two things at once.
Social Desirability Bias
Responding in a way that is socially acceptable.
Index
A combined measure that increases reliability.
Mail Surveys
Cost-effective surveys sent through the mail.
Telephone Surveys
Surveys conducted via phone calls.
Face-to-Face Interviews
In-person interviews for data collection.
Online Surveys
Surveys conducted over the internet.
Mixed-Mode Surveys
Surveys that combine different methods.