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Research Methods for the Behavioral Sciences, 5th Edition Frederick J Gravetter - Test Bank

Research Methods for the Behavioral Sciences, 5th Edition Frederick J Gravetter - Test Bank   Instant Download - Complete Test Bank With Answers     Sample Questions Are Posted Below   1. ​The group of individuals from which researchers actually select participants for research studies is called the ____ population.   a. ​accessible   b. ​target …

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Research Methods for the Behavioral Sciences, 5th Edition Frederick J Gravetter – Test Bank

 

Instant Download – Complete Test Bank With Answers

 

 

Sample Questions Are Posted Below

 

1. ​The group of individuals from which researchers actually select participants for research studies is called the ____ population.

  a. ​accessible
  b. ​target
  c. ​representative
  d. ​real

 

ANSWER:   a
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Understand

 

2. ​Although a research question usually concerns the ____, the actual research participants are selected from the ____.

  a. ​target population; accessible population
  b. ​accessible population; target population
  c. ​target population; sample
  d. ​accessible population; sample

 

ANSWER:   a
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Understand

 

3. ​Dr. Cummings conducts an experiment on memory using participants above the age of 65. All people above the age of 65 would make up the ____.

  a. ​sample
  b. ​census
  c. ​population
  d. ​subgroup

 

ANSWER:   c
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Apply

 

4. ​Dr. Garza conducts an experiment on memory using participants above the age of 65. Because she cannot include all people above the age of 65, she will selects what is known as a ____.

  a. ​sample
  b. ​census
  c. ​population
  d. ​subgroup

 

ANSWER:   a
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Apply

 

5. ​A major goal of research is to ____ from a small group of participants included in a study to the larger group from which they came.

  a. ​deduce
  b. ​generalize
  c. ​specialize
  d. ​reason

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Apply

 

6. ​Which statement accurately describes the relationship between accessible populations and target populations?

  a. ​The target population is contained within the accessible population.
  b. ​The target population is also sometimes known simply as the population.
  c. ​The accessible population is larger than the target population.
  d. ​Everyone in the accessible population will participate in the research.

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Understand

 

7. ​Although it is possible to obtain a sample with characteristics that are very different from the population through random sampling, it is more likely that a nonrepresentative sample is the result of ____.

  a. ​simple random sampling
  b. ​selection bias
  c. ​stratified selection
  d. ​systematic selection

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Apply

 

8. ​If the individuals in a sample have characteristics that are noticeably different from the individuals in the population, then the sample is said to be ____.

  a. ​representative
  b. ​random
  c. ​stratified
  d. ​biased

 

ANSWER:   d
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Understand

 

9. ​When a sample has the same characteristics as the target population, the sample is said to be a(n) ____ sample.

  a. ​representative
  b. ​biased
  c. ​target
  d. ​accessible

 

ANSWER:   a
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Understand

 

10. ​To select a sample of five children from a class of 30, a researcher puts each child’s name on a slip of paper, then shuffles the papers in a hat and randomly picks five names. What kind of sampling is being used?

  a. ​quota
  b. ​non-quota
  c. ​probability
  d. ​nonprobability

 

ANSWER:   c
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Apply

 

11. ​A researcher recruits participants for an experiment by posting an announcement in the psychology department asking for volunteers. What kind of sampling is being used?

  a. ​quota
  b. ​non-quota
  c. ​probability
  d. ​nonprobability

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Apply

 

12. ​A snack food company is developing a new flavor for crackers and asks customers to text their preference between two possibilities. What kind of sampling is being used?

  a. ​quota
  b. ​non-quota
  c. ​probability
  d. ​nonprobability

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Apply

 

13. ​For situations in which the researcher cannot know the complete list of potential participants, what kind is sampling is necessary?

  a. ​quota
  b. ​non-quota
  c. ​probability
  d. ​nonprobability

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Understand

 

14. ​What kind of sampling technique requires that you can get a list of all the individuals in the population?

  a. ​quota
  b. ​convenience
  c. ​probability
  d. ​nonprobability

 

ANSWER:   c
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Understand

 

15. ​A process that produces one outcome from a set of possible outcomes, produces an unpredictable outcome, and guarantees that each of the possible outcomes equally likely is said to be ____.

  a. ​random
  b. ​stratified
  c. ​non-probabilistic
  d. ​biased

 

ANSWER:   a
DIFFICULTY:   Easy
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   OBJ: GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Understand

 

16. ​If each person in a large group has an equal chance of being included in an experiment, then the researcher is using ____ sampling.

  a. ​systematic
  b. ​random
  c. ​convenience
  d. ​cluster

 

ANSWER:   b
DIFFICULTY:   Easy
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Apply

 

17. ​A method for nonprobability sampling is ____.

  a. ​sampling with replacement.
  b. ​convenience sampling
  c. ​stratified sampling
  d. ​sampling without replacement

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Apply

 

18. ​The major advantage of a simple random sample is that it ensures that ____.

  a. ​there will be enough participants in each subset to be able to make statistical decisions
  b. ​no single group is over-represented in the sample
  c. ​the sample will provide an accurate representation of the population
  d. ​the selection procedure is unbiased although its outcome may be biased

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Analyze

 

19. ​Simple random sampling is least likely to ____.

  a. ​ensure that each individual has an equal chance of selection
  b. ​remove all bias and discrimination from the selection process
  c. ​guarantee that every individual in the population has a chance of being selected
  d. ​guarantee that the sample will be representative and unbiased

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Analyze

 

20. ​One characteristic of random sampling with replacement is that it ____.

  a. ​allows for the same individual to be selected more than once
  b. ​allows the probabilities to vary from one selection to the next
  c. ​ensures that the probability of individual selection increases as selection progresses
  d. ​can be used even if the entire population is unknown

 

ANSWER:   a
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Analyze

 

21. ​A systematic sample does not qualify as a true random sample because ____.

  a. ​the selection of the first individual is not random
  b. ​the selections are not independent of each other
  c. ​it does not use sampling with replacement
  d. ​the entire population is not known

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

22. ​A professor teaching an introductory psychology class of 200 obtains a sample of 25 students by selecting every eighth name from the class list. The professor is using ____ sampling.

  a. ​simple random
  b. ​convenience
  c. ​proportionate stratified random
  d. ​systematic

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

23. ​A teacher obtains a sample of children from a fifth grade classroom by randomly selecting the third, fifth, and eighth rows and taking all the students in those rows. This is an example of ____ sampling.

  a. ​simple random
  b. ​systematic
  c. ​cluster
  d. ​stratified

 

ANSWER:   c
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

24. ​A researcher would like to describe and compare the attitudes of four different ethnic groups of students at a local state college. To obtain participants for the study while ensuring sufficient numbers of participants from each of the ethnic groups, the researcher should probably use ____ sampling.

  a. ​simple random
  b. ​stratified random
  c. ​cluster random
  d. ​systematic

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

25. ​The primary advantage of a stratified random sample is that it ____.

  a. ​ensures that group sizes will be adequate for statistical analysis
  b. ​provides a sample that is guaranteed to be representative of the population
  c. ​ensures that no single group is over-represented in the sample
  d. ​does not require pre-existing knowledge about the population

 

ANSWER:   a
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

26. ​One criticism of a stratified random sample is that ____.

  a. ​it is not based on a random selection process
  b. ​the sample may not be representative of the population
  c. ​some segments of the population will not be represented in the sample
  d. ​it often prevents the use of more powerful statistical analyses

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

27. ​One criticism of proportionate stratified random sampling is that ____.

  a. ​some segments of the population will be over-represented in the sample
  b. ​statistical analysis may be impeded when subgroups are small
  c. ​the sample is usually not representative of the population
  d. ​some segments of the population will be under-represented in the sample

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

28. ​A researcher would like to examine the political attitudes for students at a local university. The researcher will evaluate a sample of 200 students but would like to be sure that the ages and genders of individuals in the sample accurately represent the ages and genders for the entire student body at the university. What would be the best sampling method for the researcher to use?

  a. ​simple random sampling
  b. ​stratified random sampling
  c. ​proportionate stratified random sampling
  d. ​systematic sampling

 

ANSWER:   c
DIFFICULTY:   Difficult
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

29. ​Psychology majors at the state college consist of 40% males and 60% females. The psychology department is conducting a survey of its majors and obtains a sample by randomly selecting students so there will 20 males and 30 females from the list of psychology majors. What kind of sampling is used in this example?

  a. ​stratified random
  b. ​proportionate stratified random
  c. ​systematic
  d. ​quota

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

30. ​A cluster sample usually does not qualify as a true random sample because ____.

  a. ​the specific groups selected are not selected by a random process
  b. ​the selections are not independent of each other
  c. ​the individuals within each group are usually not independent
  d. ​replacement is typically included in the sampling procedure

 

ANSWER:   c
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

31. ​The workers in a factory are organized into five-person teams. When conducting a work-environment survey, a researcher randomly selected 10 teams to obtain a total sample of 50 workers. The researcher used ____ sampling.

  a. ​simple random
  b. ​stratified random
  c. ​proportionate stratified random
  d. ​cluster

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

32. ​The most commonly used sampling method in psychological research is probably ____ sampling.

  a. ​cluster
  b. ​quota
  c. ​simple random
  d. ​convenience

 

ANSWER:   d
DIFFICULTY:   Easy
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Understand

 

33. ​A researcher recruits a sample of 25 preschool children for a research study by posting an announcement in a local daycare center describing the study and offering a $10 payment for participation. What kind of sampling is the researcher using?

  a. ​cluster sampling
  b. ​quota sampling
  c. ​simple random sampling
  d. ​convenience sampling

 

ANSWER:   d
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Apply

 

34. ​Which sampling technique is most likely to result in a biased sample?

  a. ​simple random sampling
  b. ​convenience sampling
  c. ​proportionate stratified random sampling
  d. ​systematic sampling

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Analyze

 

35. ​How does convenience sampling compare to probability sampling?

  a. ​Convenience sampling is a more complex process.
  b. ​Convenience sampling is a faster process.
  c. ​Convenience sampling is more expensive.
  d. ​Convenience sampling minimizes the risk of bias.

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Analyze

 

36. ​A researcher would like to select a sample of 50 people so that five different age groups are equally represented in the sample. Assuming that the researcher does not know the entire list of people in the population, which sampling technique should be used?

  a. ​quota sampling
  b. ​stratified random sampling
  c. ​proportionate stratified random sampling
  d. ​cluster sampling

 

ANSWER:   a
DIFFICULTY:   Difficult
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.06 – Describe quota sampling, recognize examples of this technique in research reports, and explain why it is used.
KEYWORDS:   Bloom’s: Analyze

 

37. ​The technique of quota sampling is most similar to ____ sampling.

  a. ​simple random
  b. ​stratified random
  c. ​cluster
  d. ​systematic

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.06 – Describe quota sampling, recognize examples of this technique in research reports, and explain why it is used.
KEYWORDS:   Bloom’s: Analyze

 

38. ​Quota sampling produces the same advantages for convenience sampling that ____ sampling produces for probability sampling.

  a. ​stratified random
  b. ​simple random
  c. ​cluster
  d. ​systematic

 

ANSWER:   a
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.06 – Describe quota sampling, recognize examples of this technique in research reports, and explain why it is used.
KEYWORDS:   Bloom’s: Analyze

 

39. ​A sample consists of 25 freshmen, 25 sophomores, 25 juniors, and 25 seniors from a local high school that has an equal number of students in each class. If the sample was obtained using a list of all the students in the high school, it is probably an example of ____ sampling. If the sample was obtained without a list of students, it is likely an example of ____ sampling.

  a. ​simple random; cluster
  b. ​stratified random; quota
  c. ​proportionate stratified random; quota
  d. ​systematic; convenience

 

ANSWER:   b
DIFFICULTY:   Difficult
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.06 – Describe quota sampling, recognize examples of this technique in research reports, and explain why it is used.
KEYWORDS:   Bloom’s: Analyze

 

40. ​A researcher wants to obtain a sample of 30 preschool children consisting of 10 two-year-old children, 10 three-year-old, and 10 four-year-old children. Assuming that the children are obtained from local daycare centers, this researcher should use ____ sampling.

  a. ​cluster
  b. ​quota
  c. ​simple random
  d. ​stratified random

 

ANSWER:   b
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.06 – Describe quota sampling, recognize examples of this technique in research reports, and explain why it is used.
KEYWORDS:   Bloom’s: Apply

 

41. ​The accessible population is a subset of the target population.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Understand

 

42. ​A large sample is generally more representative than a small sample.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Apply

 

43. ​It is always necessary to have at least 25-30 participants in a study.

  a. True
  b. False

 

ANSWER:   False
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Analyze

 

44. ​Selection bias is likely to produce a sample with characteristics that are noticeably different from those in the population.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.01 – Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
KEYWORDS:   Bloom’s: Understand

 

45. ​If you cannot list all the individuals in the population, then you cannot take a simple random sample.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Apply

 

46. ​When a researcher does not know the exact number of individuals in the population, it is necessary to use a nonprobability sampling method.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Easy
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Understand

 

47. One advantage of simple random sampling with replacement is that the likelihood of selecting one specific individual does not depend on which other individuals are selected for the sample.​

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Easy
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Understand

 

48. ​Simple random sampling guarantees that the sample will be representative of the population.

  a. True
  b. False

 

ANSWER:   False
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Analyze

 

49. ​Using a simple random sample eliminates bias from the selection process.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Easy
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Understand

 

50. ​Simple random sampling without replacement means that the likelihood of selecting one specific individual will depend on which other individuals are selected for the sample.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Analyze

 

51. ​Stratified random sampling is used instead of simple random sampling when a researcher wants to ensure that the sample has specified characteristics.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

52. ​Stratified and proportionate stratified sampling both involve selecting individuals from predetermined subgroups in the population.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Understand

 

53. ​Although proportionate stratified sampling involves selecting individuals from predetermined subgroups of the population, it does not guarantee that each subgroup in the sample will have a large number of individuals.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

54. ​When the goal of a research study is to describe and compare different subgroups in a known population, the best strategy is to use proportionate stratified random sampling.

  a. True
  b. False

 

ANSWER:   False
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

55. ​When a researcher wants a sample to accurately represent the composition of the population, the best strategy is to use stratified random sampling.

  a. True
  b. False

 

ANSWER:   False
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Apply

 

56. ​The most commonly used sampling methods in psychology are nonprobability sampling methods.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Easy
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Understand

 

57. ​Convenience sampling involves selecting individuals who are easy to recruit.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Easy
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Understand

 

58. ​There is a strong possibility that a convenience sample will be biased.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Analyze

 

59. ​When a researcher does not know the exact number of individuals in the population but still wants to control the composition of a sample, the best technique is to use quota sampling.

  a. True
  b. False

 

ANSWER:   True
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Apply

 

60. ​Stratified random sampling and quota sampling are both classified in the category of probability sampling techniques.

  a. True
  b. False

 

ANSWER:   False
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

61. ​Describe the basic distinction between probability sampling and nonprobability and explain why most psychology research uses nonprobability methods.

ANSWER:   ​Probability sampling requires that you know all the individuals in the population (you can make a list) and can assign a probability to each individual. Most psychology research concerns populations such as preschool children or adolescents, and it is impossible to know all of the individuals in these populations. On the other hand, nonprobability sampling does not require advance knowledge of the entire population. This is a much more realistic situation for most psychology research.
DIFFICULTY:   Moderate
REFERENCES:   5.1 Introduction to Sampling
LEARNING OBJECTIVES:   GRAV.METH.16.05.02 – Explain the basic distinction between probability sampling methods and nonprobability sampling methods and recognize examples of these two sampling techniques when they appear in research reports.
KEYWORDS:   Bloom’s: Understand

 

62. ​Under what circumstances is a stratified random sample the most appropriate sampling method?

ANSWER:   ​A stratified random sample is appropriate when researchers want to describe and compare different subgroups that make up a population. This type of sampling ensures that each subgroup will be represented with a guaranteed number of participants. Note, a stratified random sample is a probability sample, so the entire population must be known.
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

63. Under what circumstances is a proportionate stratified random sample the most appropriate sampling method?

ANSWER:   ​A proportionate stratified random sample is appropriate when researchers are interested in the entire population. This type of sampling ensures that the composition of the sample will provide an accurate representation of the composition of the population. Note, a proportionate stratified random sample is a probability sample, so the entire population must be known.
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Analyze

 

64. ​Explain why you are more likely to obtain a representative sample with proportionate stratified random sampling than with either stratified random sampling or simple random sampling.

ANSWER:   In a proportionate stratified sample, each of the subgroups in the sample has exactly the same proportion as the corresponding subgroup in the population. For example, if 14% of the population is between 30 and 39 years old, then exactly 14% of the sample will be in this same age range. Thus, the composition of the sample exactly matches the composition of the population. A stratified random sample has equal representation from each of the specified subgroups. For example, if there are four subgroups in the population, then each will form 25% of the sample. However, the subgroups are probably not equally represented in the population. For example, one group may comprise only 10% of the population but will still make up 25% of the sample. Thus, the composition of the sample does not accurately represent the composition of the population. Finally, simple random sampling lets pure chance determine who is selected. As a result, a group that makes up 10% of the population can be severely overrepresented or underrepresented in the sample, depending entirely on chance. Thus, there is no guarantee that the composition of the sample will accurately represent the composition of the population.​
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.03 – Define simple random sampling, recognize this technique when it appears in a research report, and explain its strengths and weaknesses.
KEYWORDS:   Bloom’s: Understand

 

65. ​Describe cluster sampling and identify some strengths and weaknesses of this technique.

ANSWER:   ​Cluster sampling involves randomly selecting preexisting clusters or groups instead of randomly selecting individuals. The main advantages are (1) it is easy to obtain a large sample quickly, and (2) because the participants are already organized in groups, it is often easy and convenient to test them as a group. For example, you could hand out questionnaires to an entire class instead of giving questionnaires to one person at a time. The main concern with cluster sampling is that the individuals within a cluster may not be independent. If the clusters consist of families, for example, it is likely that all of the family members share some common interests and common experiences.
DIFFICULTY:   Moderate
REFERENCES:   5.2 Probability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.04 – Describe the four probability sampling methods presented in the book, other than simple random sampling (stratified random, proportionate stratified random, systematic, and cluster), recognize these techniques when they appear in research reports, and explain the strengths and weaknesses of each.
KEYWORDS:   Bloom’s: Understand

 

66. ​Explain why researchers feel reasonably comfortable using convenience sampling when this technique is likely to produce biased samples.

ANSWER:   Most researchers attempt to select convenience samples that are reasonably representative by ensuring that the sample contains a sensible variety of individuals and is not obviously biased. Thus, although the sample may come entirely from students at a Midwest college, the researcher makes sure that the individuals are reasonably representative of college students anywhere in the country. Also, researchers are careful to provide a clear description of how their samples are obtained and the characteristics of the individuals involved. In this way, other researchers are aware of any unique characteristics or possible bias in the samples.​
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.05 – Describe the process of convenience sampling, recognize examples of this tech- nique in research reports, and explain why it is used and how researchers using this method can limit the risk of a biased sample.
KEYWORDS:   Bloom’s: Understand

 

67. Explain how quota sampling can be used to simulate stratified random sampling or proportionate stratified random sampling in situations where the entire population is not known.​

ANSWER:   ​Quota sampling can simulate stratified random sampling by setting equal quotas for each of the subgroups that make up the population. Quota sampling can simulate proportionate stratified random sampling by setting quotas that correspond to the actual proportions that exist in the population. For example, if the population is known to have 11% Hispanics (even though the exact number is not known), a quota of 11% Hispanics could be set for the sample.
DIFFICULTY:   Moderate
REFERENCES:   5.3 Nonprobability Sampling Methods
LEARNING OBJECTIVES:   GRAV.METH.16.05.06 – Describe quota sampling, recognize examples of this technique in research reports, and explain why it is used.
KEYWORDS:   Bloom’s: Apply

 

 

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