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Explain why random selection of a sample is supposed to be a good tool for selecting a representative sample.

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Random selection of a sample is supposed...

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A ___________ is a comprehensive list of everyone or everything in the population of interest.


A) Sample
B) Sample element
C) Population parameter
D) Sampling frame

E) B) and D)
F) B) and C)

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Multistage cluster sampling involves taking every nth (5th, 10th, etc) case in the population.

A) True
B) False

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How does a unit of observation differ from a unit of analysis?

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Incorrectly making assumptions about individuals based on the research results of groups is known as _________.


A) Deductive assumptions
B) Ecological fallacy
C) Exception fallacy
D) Going native

E) A) and B)
F) B) and C)

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A _________ is a subset of a population.

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Sample

Specifically selecting people who are high-achievers or low-risk for programs with the assumption that they are most likely to succeed is known as ________________


A) Stacking the deck
B) Creaming
C) Equal probability sampling
D) Ecological fallacy

E) B) and D)
F) A) and D)

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B

If I interview someone and then ask that person to introduce me to some associates so I could interview them, what type of sampling technique is this?


A) Snowball
B) Purposive
C) Stratified random
D) Multistage cluster

E) A) and B)
F) All of the above

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Why is random sampling believed to be the best way to select participants?

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Give an example of why a researcher would want to use nonprobablility sampling.

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A researcher may want to use nonprobabil...

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Quota sampling is a type of probability sampling.

A) True
B) False

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We can determine the proper sample size that we need to avoid statistical conclusion validity problems by conducting a ____________


A) Power analysis
B) Multivariate statistical model
C) Regression
D) t-test

E) B) and C)
F) A) and D)

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Incorrectly making assumptions about large groups based on the circumstances of one very unique case is known as _________.


A) Deductive assumptions
B) Ecological fallacy
C) Exception fallacy
D) Going native

E) B) and C)
F) All of the above

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Systematic random sampling is a type of probability sampling.

A) True
B) False

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A comprehensive list of everyone or everything in the population of interest is called a population parameter.

A) True
B) False

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How does quota sampling differ from stratified random?

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When we want to check to see how similar our sample is to the population, we compare a sample statistic to a population __________.

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Parameter

How can researchers try to make snowball samples a bit less biased?

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Simple random sampling is conducted by taking names out of a hat or using a random number generator.

A) True
B) False

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When we are trying to calculate confidence intervals to see where the true population mean probably is, as the interval itself gets smaller, our confidence _________.

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