Question 1

Some research is carried out using entire populations and some is carried out using sample populations or samples of populations.

Accepted Answer

A) True 
 B)False  True

Question 2

Projective techniques are used to explore people's instinctive responses to stimuli, stimuli such as, for example, advertising campaigns. Projective techniques are indirect ways of exploring attitudes.

Accepted Answer

A) True 
 B)False  True

Question 3

Researchers are very pragmatic when it comes to research methods. They use whatever method of data collection is most appropriate, whatever data collection method will work best.

Accepted Answer

A) True 
 B)False  True

Question 4

Give three examples of human populations of research projects.

Accepted Answer

The following are three examples of huma

Question 5

Projective techniques are a data gathering method.

Accepted Answer

A) True 
 B)False

Question 6

Research conducted on an entire population is known as:

Accepted Answer

A)  A census 
B)  A survey 
C)  A case study 
D)  An experiment. 
A)  A census 
B)  A survey 
C)  A case study 
D)  An experiment.

Question 7

Covert observation is observation carried out covertly or secretly.

Accepted Answer

A) True 
 B)False

Question 8

The emphasis in non-probability sampling is on the capacity of a relatively small number of cases to clearly and comprehensively illustrate the phenomenon under investigation.

Accepted Answer

A) True 
 B)False

Question 9

The sample is a small sub-set of the population.

Accepted Answer

A) True 
 B)False

Question 10

Participant observation is a data gathering method.

Accepted Answer

A) True 
 B)False

Question 11

Data gathering methods are designed in such a way as to ensure:

Accepted Answer

A)  That they can be carried out quickly and simply. 
B)  That they can be analysed quickly and simply. 
C)  That they can be administered by research assistants. 
D)  That they will provide the data required. 
A)  That they can be carried out quickly and simply. 
B)  That they can be analysed quickly and simply. 
C)  That they can be administered by research assistants. 
D)  That they will provide the data required.

Question 12

Decisions with regard to whether to work with an entire population or a sample of the population are made based on the size of the population, the time available for the research, and the requirements of the research.

Accepted Answer

A) True 
 B)False

Question 13

Data Collection methods, research populations and samples and sampling methods are fundamental elements of:

Accepted Answer

A)  The conceptual framework. 
B)  The theoretical framework. 
C)  The methodological framework. 
D)  The analytical framework. 
A)  The conceptual framework. 
B)  The theoretical framework. 
C)  The methodological framework. 
D)  The analytical framework.

Question 14

Simple random sampling:

Accepted Answer

A)  Is not sophisticated enough for an academic research project. 
B)  Does not involve the use of a sampling frame. 
C)  Is the same as cluster sampling. 
D)  Is a probability sampling technique. 
A)  Is not sophisticated enough for an academic research project. 
B)  Does not involve the use of a sampling frame. 
C)  Is the same as cluster sampling. 
D)  Is a probability sampling technique.

Question 15

Ethnography is a data gathering method.

Accepted Answer

A) True 
 B)False

Question 16

The population of the research is also called:

Accepted Answer

A)  The people 
B)  The world 
C)  The planet 
D)  The Universe 
A)  The people 
B)  The world 
C)  The planet 
D)  The Universe

Question 17

The researcher must know what kinds of data are needed and where the data are to be found, before decisions can be made about how to gather that data.

Accepted Answer

A) True 
 B)False

Question 18

Researchers are very pragmatic when it comes to research methods, they use:

Accepted Answer

A)  The data collection methods that they have used before. 
B)  The data collection methods with which they are most familiar. 
C)  The data collection methods their colleagues are using. 
D)  Whatever data collection methods are most appropriate. 
A)  The data collection methods that they have used before. 
B)  The data collection methods with which they are most familiar. 
C)  The data collection methods their colleagues are using. 
D)  Whatever data collection methods are most appropriate.

Question 19

One key reason why the researcher defines the population of the study is in order to:

Accepted Answer

A)  Be able to write to every member of the population. 
B)  Limit the scope of the study. 
C)  Be able to telephone every member of the population. 
D)  Be able to demonstrate the hard work they have done on their research. 
A)  Be able to write to every member of the population. 
B)  Limit the scope of the study. 
C)  Be able to telephone every member of the population. 
D)  Be able to demonstrate the hard work they have done on their research.

Question 20

Quota sampling, judgemental sampling, snowball sampling and convenience sampling are all examples of:

Accepted Answer

A)  Inadequate sampling methods. 
B)  Non-probability sampling methods. 
C)  Probability sampling methods. 
D)  Superior sampling methods. 
A)  Inadequate sampling methods. 
B)  Non-probability sampling methods. 
C)  Probability sampling methods. 
D)  Superior sampling methods.

Some research is carried out using entire populations and some is carried out using sample populations or samples of populations.

Projective techniques are used to explore people's instinctive responses to stimuli, stimuli such as, for example, advertising campaigns. Projective techniques are indirect ways of exploring attitudes.

Researchers are very pragmatic when it comes to research methods. They use whatever method of data collection is most appropriate, whatever data collection method will work best.

Give three examples of human populations of research projects.

Projective techniques are a data gathering method.

Research conducted on an entire population is known as:

Covert observation is observation carried out covertly or secretly.

The emphasis in non-probability sampling is on the capacity of a relatively small number of cases to clearly and comprehensively illustrate the phenomenon under investigation.

The sample is a small sub-set of the population.

Participant observation is a data gathering method.

Data gathering methods are designed in such a way as to ensure:

Decisions with regard to whether to work with an entire population or a sample of the population are made based on the size of the population, the time available for the research, and the requirements of the research.

Data Collection methods, research populations and samples and sampling methods are fundamental elements of:

Simple random sampling:

Ethnography is a data gathering method.

The population of the research is also called:

The researcher must know what kinds of data are needed and where the data are to be found, before decisions can be made about how to gather that data.

Researchers are very pragmatic when it comes to research methods, they use:

One key reason why the researcher defines the population of the study is in order to:

Quota sampling, judgemental sampling, snowball sampling and convenience sampling are all examples of:

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Managing Data and Introducing Data Analysis

Analysing Quantitative Data

Analysing Qualitative Data

Drawing Conclusions and Writing Research

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Exam 8: Understanding Research Methods, Populations and Sampling

Some research is carried out using entire populations and some is carried out using sample populations or samples of populations.

Projective techniques are used to explore people's instinctive responses to stimuli, stimuli such as, for example, advertising campaigns. Projective techniques are indirect ways of exploring attitudes.

Researchers are very pragmatic when it comes to research methods. They use whatever method of data collection is most appropriate, whatever data collection method will work best.

Give three examples of human populations of research projects.

Projective techniques are a data gathering method.

Research conducted on an entire population is known as:

Covert observation is observation carried out covertly or secretly.

The emphasis in non-probability sampling is on the capacity of a relatively small number of cases to clearly and comprehensively illustrate the phenomenon under investigation.

The sample is a small sub-set of the population.

Participant observation is a data gathering method.

Data gathering methods are designed in such a way as to ensure:

Decisions with regard to whether to work with an entire population or a sample of the population are made based on the size of the population, the time available for the research, and the requirements of the research.

Data Collection methods, research populations and samples and sampling methods are fundamental elements of:

Simple random sampling:

Ethnography is a data gathering method.

The population of the research is also called:

The researcher must know what kinds of data are needed and where the data are to be found, before decisions can be made about how to gather that data.

Researchers are very pragmatic when it comes to research methods, they use:

One key reason why the researcher defines the population of the study is in order to:

Quota sampling, judgemental sampling, snowball sampling and convenience sampling are all examples of:

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Managing Data and Introducing Data Analysis

Analysing Quantitative Data

Analysing Qualitative Data

Drawing Conclusions and Writing Research

Filters