Introduction to Data Collection and Sampling Methods

This set of flashcards covers key vocabulary and concepts related to data collection, sampling methods, and statistical principles discussed in the lecture.

Data Sleuthing Framework

A structure for critiquing research and articles used to develop personal research.

Population Parameters

Characteristics of a population that cannot be computed without a complete census.

Sample

A collection of units taken from a population to estimate population parameters.

Sampling Frame

A list of units from which a sample is drawn.

Census

A survey that measures the entire population.

Margin of Error

The range within which the true value of a population parameter is expected to lie, based on a sample.

Simple Random Sample

A sampling method where every individual has an equal chance of being selected.

Destructive Sampling

Sampling method that destroys the unit being tested, making a census infeasible.

Confidence Interval

A range of values derived from a sample that is likely to contain the true population parameter.

Representative Sample

A sample that accurately reflects the characteristics of the population from which it is drawn.

Survey Measurement

The process of collecting data on a specific question from a sample of the population.

Response Rate

The percentage of individuals who complete a survey from those selected.

Observational Studies

Research methods that involve observing subjects without manipulating variables.

Randomized Experiments

Research methods that involve randomly assigning subjects to different treatments to test outcomes.