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R & vanR Chapter 5 Quiz

Page 1 Questions

Please answer each of the following questions to help you self-assess your understanding of "Chapter 5: Sampling" (Remler & Van Ryzin, 2010)
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2. Please Match the Term to Its Definition *This question is required.
Space Cell A subset of a population (sample) chosen at random.A nonprobability sample that was chosen for convenience and that may be biased.The extent to which the results generalize to a wider group or reality, external to the study. Another term for generalizability.Repeating a study with a different sample, in a different place, time period, or policy context, or with a different study design.Process of selecting people or elements from a population for inclusion in a research study.A method for pooling together multiple smaller studies to get a much bigger, combined study.A subset of people or elements selected from a population.The population the study aims to investigate.Sample chosen based on probability, at random on some level, which makes the sample representative.A sample consisting of volunteers.
Sample *This question is required
Probability Sample
Sampling
Convenience Sample
Voluntary Sample
Population of Interest
Random Sample
External Validity
Replication *This question is required
Meta-Analysis *This question is required
3. Please Match the Term to Its Definition *This question is required.
Space Cell Using samples to learn about the population, or using evidence to identify a causal relationship.A telephone survey method that gives both listed and unlisted numbers an equal chance of being selected by replacing random digits at the ends of listed residential telephone numbers.Share who are reached from those sampled from the sampling frame.Share who cooperate with a survey request from among those contacted.Likelihood of responding to a survey or survey question.Bias in survey that occurs when members of the sampling frame are systematically different from the target population in a way related to the measures.Every member of a population. Contrasts with a sample.Share who respond to a survey from among those sampled from a sampling frame.The list of enumeration of the population from which the sample is taken.The population the study aims to investigate.
Inference
Universe
Cooperation Rate *This question is required
Census
Propensity to Respond *This question is required
Response Rate
Random Digit Dialing (RDD)
Contact Rate *This question is required
Sampling Frame
Coverage Bias
4. Please Match the Term to Its Definition *This question is required.
Space Cell Choosing from the sampling frame at random.Variability in sample statistics, across different samples, due to random chance of who ends up in a sample.A theoretical distribution that is bell-shaped, symmetrical, and has many useful properties in statistics.Selecting of people (or elements) from a population in such a way that each individual has an equal chance, or probability, of selection.Error in sample statistics due to random chance of who ends up in a sample.Bias in survey results that occurs when those who do not respond are systematically different from those who do respond in a way related to the measures.The distribution of statistics estimated from many repeated samples.Bias in a study that occurs when volunteers differ from a more representative sample of the population in ways that influence the findings of the study.Method of sampling or finding study subjects in which interviewees are asked to refer people they know to the researcher for inclusion in the sample.Method of sampling based on respondent contacts, like snowball sampling, but with a statistical foundation.
Volunteer Bias
Random Sampling (or Probability Sampling)
Simple Random Sampling
Normal Distribution *This question is required
Nonresponse Bias
Sampling Distribution *This question is required
Respondent-Driven Sampling
Sampling Variability
Sampling Error *This question is required
Snowball Sampling
5. Please Match the Term to Its Definition *This question is required.
Space Cell A range of values in which we have a defined level of confidence (e.g. 95%) that the true value of the statistic being estimated lies.A variation on stratified sampling in which some strata are sampled at different rates. Also called oversampling.Probability sampling method in which individuals or elements are sampled at even intervals - every kth individual for some integer k.The amount added to the point estimate in both directions to create the confidence interval.All the people or elements originally selected from the sampling frame, regardless of whether they are contacted or respond.The actual data available in the sample, equal to the true sample minus those who could not be reached and those who did not agree to participate.A variation on stratified sampling in which some strata are sampled with probability greater than their population share. Also called disproportionate sampling.Exhaustive and mutually exclusive subgroups of a target population.The precision of the estimate - how good a job we expect it to do, on average.Probability sampling method in which a sample is drawn separately from each group - each stratum - and the population is divided into exhaustive and mutually exclusive strata.
Standard Error
Confidence Interval
Margin of Error
True Sample
Observed Sample
Systematic Sampling
Strata
Stratified Sampling *This question is required
Oversampling *This question is required
Disproportinate Sampling *This question is required
6. Please Match the Term to Its Definition *This question is required.
Space Cell A procedure for giving some individuals in the data more, or less, weight in the analysis. Often required when disproportionate or complex sampling is used.A probability sampling method in which more aggregated units (clusters) are sampled and then sampling occurs within the aggregates.The loss of precision due to a particular complex survey sampling design.Similarity of elements within a cluster. Also referred to as rho - the rate of homogeneity.Adjustment of sample statistics to ensure that each stratum's share of the sample represents its share in the population. Used to correct samples that do not reflect the characteristics of the population. Also called poststratification weighting.Probability sampling methods that are more complex than simple random sampling, such as cluster sampling, stratified sampling, and disproportionate sampling.Adjustment of sample statistics to ensure that each stratum's share of the sample represents its share in the population. Used to correct samples that do not reflect the characteristics of the population. Also called poststratification adjustment.A probability sampling method in which more aggregated units (clusters) are sampled before sampling individuals.The comparable sample size from a simple random sample; it expresses the design effect (often a loss) due to complex sampling.
Weighting
Effective Sample Size
Poststratification Adjustment
Poststratification Weighting
Multistage Sampling
Cluster Sampling
Intraclass Correlation
Complex Survey Sampling *This question is required
Design Effect *This question is required
7. When data are collected on the entire population, this type of study is referred to as *This question is required.
8. The process of estimating characteristics of an entire group of units based on the characteristics of a subset of that group is called making *This question is required.
9. A doctor wanted to learn about the use of preventive health care services among low-income men. She conducted a survey in the waiting room of the clinic where she worked. This type of sample is called *This question is required.
10. A professor is studying relationships between siblings. Twins are a group of special interest. Which of the following would be a way to make sure enough twins are in the study to examine as a separate subgroup? *This question is required.
11. Which type of sampling is usually more clearly generalizable? *This question is required.
12. A local health department conducted a survey by calling household telephones in order to ask questions related to HIV/AIDS prevention and related behaviors. The survey, however, did not call cell phones and thus missed many younger people. This problem is called: *This question is required.
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