Purchase Solution

Random Sampling in Healthcare

Not what you're looking for?

Ask Custom Question

1. Why is random sampling done?

2. What are some downsides to random sampling?

3. How does the way in which samples are determined impact the validity of the data?

4. Using an example from the healthcare system, describe a case where it is possible that the way the sample was selected harmed the validity of the data.

Purchase this Solution
Solution Summary

This solution explains the purpose and importance of random sampling to data validity and addresses associated concerns; furthermore, it provides examples from the healthcare system of instances where random sampling proved problematic.

Solution Preview

Sampling

1. The purpose of random sampling is used to estimate characteristics of a whole population by selecting a subset of individuals to study. As researchers study the subset, they are able to draw conclusions based on the selection of the subset population. It is rare that researchers will survey the entire population because of the increased cost and time commitment.

2. Some concerns of random sampling are human error, personal bias, or a misrepresentation of data validity. Another danger is that a formula that is good for one sample may not be good for an entire population of data.

3. The sample design is paramount to data validity. A sample is to mirror the image of a population, so conclusions made are best for ...

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

View More Free Quizzes
Related BrainMass Solutions

  • Opinion and Bias in Healthcare

    572209 Opinion and Bias in Healthcare What is the difference between opinion and bias when it comes to healthcare data collection?

  • Sampling Methods

    119912 Sampling Methods 1. In order to assess opinions on healthcare benefits for government employees, a consultant divides the employees into three groups: single, married with no children and married with children.

  • Difference between random sampling and stratified random sampling

    After this process, random sampling is then applied to reduce high variability of sampling error. It is most appropriate to use a stratified random sampling technique in a population that has different types of groups within it.

  • Systematic Sampling and Simple Random Sampling

    In what way is systematic sampling less representative of the population than simple random sampling? Questions: In what ways is a systematic sample more efficient than a simple random sample?

  • Unrestricted Random Sampling Without Replacement

    Unrestricted random sampling normally results in a smaller sample size than does stratified sampling. FALSE - (Unrestricted random sampling normally results in a larger sample size than stratified sampling).

  • Statistics - Simple Random Sampling & Cluster Sampling

    What are the advantages and disadvantages of systemic random sampling and stratified random sampling? (A) Simple random sampling is a technique in which each unit of the population has the same chance of being included in the sample.

  • Sample Type

    Thus, sampling error is about the same as for simple random sampling. In addition, since only the first element is chosen at random, it is simpler than simple random sampling, where all elements are selected at random.

  • Sampling techniques

    1.simple random sampling 2.stratified random sampling 3.systematic random sampling 4.cluster random sampling ANSWER: 2. Stratified random sampling.

  • Types of Sampling

    [In cluster sampling, random samples are not taken from a few clusters only leaving out some.] (2) This is Simple Random Sampling.

View More Related Solutions