Introduction to Sampling Methods and Issues

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These flashcards cover key concepts from the lecture on sampling methods, errors associated with sampling, and their implications for research.

Last updated 2:12 AM on 3/25/26
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21 Terms

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Sampling

The process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

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Population parameters

Values that summarize characteristics of a whole population, such as mean and standard deviation.

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Census

A complete count of a population.

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Sample

A subset of the population used to represent the group.

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Sampling frame

A list of units in a population from which a sample can be drawn.

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Margin of error

A statistic expressing the amount of random sampling error in a survey's results.

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Simple random sampling

A sampling method where each member of a population has an equal chance of being selected.

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Stratified random sampling

A method that divides the population into subgroups and samples from each to ensure representation of all groups.

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Cluster sampling

A sampling technique where the population is divided into groups (clusters) and a random sample of these clusters is selected.

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Systematic sampling

A sampling method that involves selecting every n-th unit from a list of the population.

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Coverage error

This occurs when some members of the population are omitted from the sampling frame.

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Non-sampling error

Errors not related to the act of sampling that can lead to inaccuracies in survey results.

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Response rate

The number of completed surveys divided by the total number of individuals selected for the survey.

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Convenience sampling

A non-probability sampling method where individuals are selected based on their availability and proximity to the researcher.

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Judgment sampling

A non-random sampling method where the researcher uses their judgment to select participants based on specific criteria.

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Statistical power

The probability that a study will detect an effect when there is an effect there to be detected.

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Low response rate

A situation where the percentage of individuals who complete a survey is smaller than desired, potentially biasing results.

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Haphazard sampling

A method of sampling where individuals are selected in a non-random way that does not follow systematic rules.

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Research bias

The bias that occurs when a researcher influences the results or conclusions of a study due to their own preferences or opinions.

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Margin of error formula

Defined as 1extn\frac{1}{ ext{√}n}, where nn is the sample size.

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FDR (Franklin D. Roosevelt)

The only U.S. president to serve four terms, known for the New Deal.