Exam 15: Sampling

Compare probability designs with nonprobability designs. Identify the kinds of sampling designs available within each of these major categories. Explain a situation in which it would be more appropriate to use probability sampling and one in which nonprobability sampling would be preferred.

Free

(Essay)

4.7/5

(23)

Question 1

Correct Answer:

Answered by Examlex AI Copilot

Probability designs and nonprobability designs are two different approaches to sampling in research.

Probability designs involve selecting a sample in such a way that every member of the population has a known, non-zero chance of being selected. This allows for the calculation of the likelihood of a particular outcome occurring within the sample. Common sampling designs within probability sampling include simple random sampling, stratified sampling, cluster sampling, and systematic sampling.

On the other hand, nonprobability designs do not involve random selection of participants and do not allow for the calculation of the likelihood of a particular outcome occurring within the sample. Common sampling designs within nonprobability sampling include convenience sampling, purposive sampling, quota sampling, and snowball sampling.

In a situation where it is important to generalize the findings from a sample to the larger population, it would be more appropriate to use probability sampling. For example, if a researcher wants to study the opinions of all adults in a country, using a probability sampling method such as simple random sampling would ensure that every adult has an equal chance of being included in the sample, allowing for generalization to the entire population.

On the other hand, nonprobability sampling may be preferred in situations where it is difficult or impractical to obtain a random sample. For example, if a researcher wants to study a very specific and hard-to-reach population, such as homeless individuals, using a nonprobability sampling method such as convenience sampling may be more practical and feasible.

In conclusion, both probability and nonprobability sampling designs have their own advantages and limitations, and the choice between the two depends on the research objectives, the characteristics of the population, and the resources available for the study.

Multistage cluster sampling requires a complete listing of all the elements in a population.

Free

(True/False)

4.8/5

(27)

Question 2

Correct Answer:

Verified

False

A researcher randomly selects cities, then randomly selects churches in each selected city, and the randomly selects members to be interviewed in each selected church. This research is using

Free

(Multiple Choice)

4.9/5

(30)

Question 3

Correct Answer:

Verified

Which of the following statements is true about probability samples?

(Multiple Choice)

4.8/5

(32)

Question 4

The general guideline for the cluster design is to minimize the number of clusters selected while increasing the number of elements within each cluster.

(True/False)

4.8/5

(27)

Question 5

Multistage cluster sampling is the best sampling procedure for small populations that are geographically close to one another.

(True/False)

4.9/5

(33)

Question 6

You want to examine the relationship between family size and family cohesion. You use as your sample all the students in this research methods class. What kind of sampling design are you using?

(Multiple Choice)

4.9/5

(31)

Question 7

Generalizing about victims of spouse abuse based on a sample of battered wives is an example of gender bias in sampling..

(True/False)

4.8/5

(38)

Question 8

It is very conceivable that samples of the same size drawn from the same population using simple random sampling may not have exactly the same statistics.

(True/False)

4.8/5

(40)

Question 9

Studies that use non-probability sampling techniques never produce useful findings.

(True/False)

4.9/5

(45)

Question 10

Telephone directories are notorious for being inadequate sampling frames. Suppose the population were defined as "all telephone subscribers in the directory's service area." What criticisms could you make of the telephone directory as a sampling frame?

(Essay)

4.8/5

(30)

Question 11

Generalizing about how male batterers view women based on a sample of male batterers is an example of gender bias in sampling.

(True/False)

4.8/5

(32)

Question 12

Sampling error is reduced through an increase in the sample size.

(True/False)

4.8/5

(35)

Question 13

You are doing research on hospital personnel-orderlies, technicians, nurses, and doctors. You want to be sure you draw a sample that has cases in each of the personnel categories. You want to use probability sampling. An appropriate strategy would be

(Multiple Choice)

4.8/5

(32)

Question 14

What is the basic logic of probability sampling? How do such concepts as homogeneity, heterogeneity, sampling bias, representativeness, and probability of selection fit into this logic?

(Essay)

4.9/5

(32)

Question 15

The unit about which information is collected and which provides the basis of analysis is called

(Multiple Choice)

4.8/5

(31)

Question 16

Stratifying a population prior to drawing a sample

(Multiple Choice)

4.9/5

(38)

Question 17

Drawing a judgmental sample

(Multiple Choice)

4.9/5

(35)

Question 18

In general, as sample size increases

(Multiple Choice)

4.9/5

(34)

Question 19

To obtain samples of the same size from strata of varying sizes, it would be necessary to use

(Multiple Choice)

4.8/5

(33)

Question 20

Showing 1 - 20 of 25

Exam 15: Sampling

Compare probability designs with nonprobability designs. Identify the kinds of sampling designs available within each of these major categories. Explain a situation in which it would be more appropriate to use probability sampling and one in which nonprobability sampling would be preferred.​

Multistage cluster sampling requires a complete listing of all the elements in a population.​

A researcher randomly selects cities, then randomly selects churches in each selected city, and the randomly selects members to be interviewed in each selected church. This research is using​

Which of the following statements is true about probability samples?​

The general guideline for the cluster design is to minimize the number of clusters selected while increasing the number of elements within each cluster.​

Multistage cluster sampling is the best sampling procedure for small populations that are geographically close to one another.​

You want to examine the relationship between family size and family cohesion. You use as your sample all the students in this research methods class. What kind of sampling design are you using?​

Generalizing about victims of spouse abuse based on a sample of battered wives is an example of gender bias in sampling..​

It is very conceivable that samples of the same size drawn from the same population using simple random sampling may not have exactly the same statistics.​

Studies that use non-probability sampling techniques never produce useful findings.​

Telephone directories are notorious for being inadequate sampling frames. Suppose the population were defined as "all telephone subscribers in the directory's service area." What criticisms could you make of the telephone directory as a sampling frame?​

Generalizing about how male batterers view women based on a sample of male batterers is an example of gender bias in sampling.​

Sampling error is reduced through an increase in the sample size.​

You are doing research on hospital personnel-orderlies, technicians, nurses, and doctors. You want to be sure you draw a sample that has cases in each of the personnel categories. You want to use probability sampling. An appropriate strategy would be​

What is the basic logic of probability sampling? How do such concepts as homogeneity, heterogeneity, sampling bias, representativeness, and probability of selection fit into this logic?​

The unit about which information is collected and which provides the basis of analysis is called​

Stratifying a population prior to drawing a sample​

Drawing a judgmental sample​

In general, as sample size increases​

To obtain samples of the same size from strata of varying sizes, it would be necessary to use​

Why Study Research

Evidence-Based Practice

Factors Influencing the Research Process

Comparing Quantitative, Qualitative, and Mixed Methods of Inquiry

The Ethics and Politics of Social Work Research

Culturally Competent Research

Problem Formulation

Conceptualization in Quantitative and Qualitative Inquiry

Measurement

Constructing Measurement Instruments

Causal Inference and Experimental Designs

Quasi-Experimental Designs

Single-Case Evaluation Designs

Program Evaluation

Survey Research

Analyzing Existing Data: Quantitative and Qualitative Methods

Qualitative Research: General Principles

Qualitative Research: Specific Methods

Qualitative Data Analysis

Descriptive Data Analysis

Inferential Data Analysis

Writing Research Proposals and Reports

Filters

Compare probability designs with nonprobability designs. Identify the kinds of sampling designs available within each of these major categories. Explain a situation in which it would be more appropriate to use probability sampling and one in which nonprobability sampling would be preferred.

Multistage cluster sampling requires a complete listing of all the elements in a population.

A researcher randomly selects cities, then randomly selects churches in each selected city, and the randomly selects members to be interviewed in each selected church. This research is using

Which of the following statements is true about probability samples?

The general guideline for the cluster design is to minimize the number of clusters selected while increasing the number of elements within each cluster.

Multistage cluster sampling is the best sampling procedure for small populations that are geographically close to one another.

You want to examine the relationship between family size and family cohesion. You use as your sample all the students in this research methods class. What kind of sampling design are you using?

Generalizing about victims of spouse abuse based on a sample of battered wives is an example of gender bias in sampling..

It is very conceivable that samples of the same size drawn from the same population using simple random sampling may not have exactly the same statistics.

Studies that use non-probability sampling techniques never produce useful findings.

Telephone directories are notorious for being inadequate sampling frames. Suppose the population were defined as "all telephone subscribers in the directory's service area." What criticisms could you make of the telephone directory as a sampling frame?

Generalizing about how male batterers view women based on a sample of male batterers is an example of gender bias in sampling.

Sampling error is reduced through an increase in the sample size.

You are doing research on hospital personnel-orderlies, technicians, nurses, and doctors. You want to be sure you draw a sample that has cases in each of the personnel categories. You want to use probability sampling. An appropriate strategy would be

What is the basic logic of probability sampling? How do such concepts as homogeneity, heterogeneity, sampling bias, representativeness, and probability of selection fit into this logic?

The unit about which information is collected and which provides the basis of analysis is called

Stratifying a population prior to drawing a sample

Drawing a judgmental sample

In general, as sample size increases

To obtain samples of the same size from strata of varying sizes, it would be necessary to use