Module 1: Gathering Data

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These flashcards cover key concepts about data gathering methodologies and biases affecting research.

Last updated 4:44 PM on 4/1/26
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18 Terms

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Census

A special sample that includes everyone; it 'samples' the entire population.

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Sample Statistics

Summaries found from data in a sample, used as estimations for a population parameter.

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Population Inference

When results from a sample can be generalized to an entire population as estimates.

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Causal Inference

Inferences made when comparing results from treatment groups, indicating that differences are caused by treatment.

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Random Sampling

Selecting individuals randomly from a population to eliminate the effect of unknown factors.

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Sampling Variability

Differences in values for variables measured across different samples.

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Stratified Random Sampling

Dividing the population into homogeneous groups (strata) and taking an SRS from each stratum.

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Systematic Random Sampling

Sampling method where a starting individual is randomly selected, then every k-th person is chosen.

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Cluster Sampling

Splitting the population into similar groups (clusters), randomly selecting a cluster, and conducting a census within it.

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Selection Bias

Bias that occurs when some portion of the population is not sampled or has smaller representation than in the population.

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Response Bias

Bias occurring due to factors in the survey design that influence responses.

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Voluntary Response Bias

When individuals choose to participate in the survey, leading to biased results.

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Nonresponse Bias

A bias that occurs when a large proportion of those sampled fail to respond.

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Observational Study

A study where the investigator observes individuals and measures variables of interest without influencing responses.

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Randomized Experiment

A study design that manipulates factor levels, randomly assigns subjects to treatment levels, and compares responses.

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Lurking Variables

Variables that are not accounted for but could explain differences in response.

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Prospective Study

A study that follows subjects over time to observe outcomes.

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Retrospective Study

A study that looks back at existing data to find relationships.