Final Exam Study - Experiments, Factorial Designs, and Sampling
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
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What would your hypothesis look like if you had an experiment? | show 🗑
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show | Tests the effect of one independent variable for each level of another independent variable to determine how the IVs interact to effect the dependent variable. Compares the differences of the levels of one IV across the levels of another IV.
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show | Each member of the population has an equal probability of being selected using random sampling. E.g. student are chosen randomly from list of all student at a university
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Pros of simple-random sample techniques | show 🗑
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Cons of simple-random sample techniques | show 🗑
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What is a cluster sampling technique? | show 🗑
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show | Doctors who work at hospitals are chosen for a sample by identifying all hospitals in different areas of the US and then randomly choosing 10 hospitals in each area of the US to sample from
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Pros of cluster sampling | show 🗑
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Cons of cluster sampling | show 🗑
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What are stratified random samples? | show 🗑
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show | Registered voters are randomly selected from lists of democrats and republicans to equal the proportion of registered democrats and republicans in the US
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Pros of stratified random samples | show 🗑
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show | Similar to simple random - can be difficult to ensure equal probability of being chosen from a large population
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show | Members of a population are chosen based on convenience and on who volunteers
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show | Sample is chosen from students who volunteer to complete an extra credit assignment in their psych course.
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show | Easier to obtain than probability samples
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show | May not represent the population well due to selection bias because random sampling is not used
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What is a quota sampling technique? | show 🗑
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Example of quota sampling | show 🗑
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Pros of quota sampling | show 🗑
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show | may not represent the population well due to selection bias because random sampling is not used
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