Question 1

The second stage in data analysis is:

Accepted Answer

A)  Description. 
B)  Interpretation. 
C)  Drawing conclusions. 
D)  Theorisation. 
A)  Description. 
B)  Interpretation. 
C)  Drawing conclusions. 
D)  Theorisation.

Question 2

Qualitative data analysis is the analysis of numerical data using statistical methods.

Accepted Answer

A) True 
 B)False

Question 3

It is the responsibility of the researcher to gather data properly, to manage data properly, to keep data safe and secure, and to adequately and expertly analyse that data for the research project.

Accepted Answer

A) True 
 B)False

Question 4

If your data is electronically or digitally stored you should:

Accepted Answer

A)  Keep it on a memory stick. 
B)  Keep it on a DVD. 
C)  Make copies of the file. 
D)  Keep it locked away. 
A)  Keep it on a memory stick. 
B)  Keep it on a DVD. 
C)  Make copies of the file. 
D)  Keep it locked away.

Question 5

The fourth framework in the four frameworks approach to research is:

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 6

CADA stands for computer assisted data analysis.

Accepted Answer

A) True 
 B)False

Question 7

CAQDAS stands for:

Accepted Answer

A)  Can Analyse Quantitative Data And Statistics. 
B)  Can Analyse Qualitative Data And Statistics. 
C)  Can Analyse Qualitative Data Sets 
D)  Computer Assisted Qualitative Data Analysis. 
A)  Can Analyse Quantitative Data And Statistics. 
B)  Can Analyse Qualitative Data And Statistics. 
C)  Can Analyse Qualitative Data Sets 
D)  Computer Assisted Qualitative Data Analysis.

Question 8

The first stage of data analysis is description, where the researcher describes the data, and describes what s/he sees in the data.

Accepted Answer

A) True 
 B)False

Question 9

The third stage in data analysis is:

Accepted Answer

A)  Description. 
B)  Interpretation. 
C)  Drawing conclusions. 
D)  Theorisation. 
A)  Description. 
B)  Interpretation. 
C)  Drawing conclusions. 
D)  Theorisation.

Question 10

Outline some of the key ways in which qualitative data can be analysed.

Accepted Answer

Qualitative data can be analysed in term

Question 11

NVivio is a:

Accepted Answer

A)  Means of analysing quantitative data. 
B)  Means of analysing statistical data. 
C)  Computer software package designed to support qualitative data analysis. 
D)  Computer software package designed to support quantitative data analysis. 
A)  Means of analysing quantitative data. 
B)  Means of analysing statistical data. 
C)  Computer software package designed to support qualitative data analysis. 
D)  Computer software package designed to support quantitative data analysis.

Question 12

CADA stands for:

Accepted Answer

A)  Complex and Assisted Data Analysis. 
B)  Careful Analysis of Data Advised. 
C)  Computer Assisted Data Analysis. 
D)  Complete Analysis of Data Advised. 
A)  Complex and Assisted Data Analysis. 
B)  Careful Analysis of Data Advised. 
C)  Computer Assisted Data Analysis. 
D)  Complete Analysis of Data Advised.

Question 13

The argument or point that you make in your data analysis chapter must be:

Accepted Answer

A)  Short and to the point. 
B)  Clearly debatable. 
C)  Dictated by the thesis supervisor. 
D)  A clear response to the overall aim of the research project. 
A)  Short and to the point. 
B)  Clearly debatable. 
C)  Dictated by the thesis supervisor. 
D)  A clear response to the overall aim of the research project.

The second stage in data analysis is:

Qualitative data analysis is the analysis of numerical data using statistical methods.

It is the responsibility of the researcher to gather data properly, to manage data properly, to keep data safe and secure, and to adequately and expertly analyse that data for the research project.

If your data is electronically or digitally stored you should:

The fourth framework in the four frameworks approach to research is:

CADA stands for computer assisted data analysis.

CAQDAS stands for:

The first stage of data analysis is description, where the researcher describes the data, and describes what s/he sees in the data.

The third stage in data analysis is:

Outline some of the key ways in which qualitative data can be analysed.

NVivio is a:

CADA stands for:

The argument or point that you make in your data analysis chapter must be:

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Understanding Research Methods, Populations and Sampling

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Analysing Quantitative Data

Analysing Qualitative Data

Drawing Conclusions and Writing Research

Filters

Exam 13: Managing Data and Introducing Data Analysis

The second stage in data analysis is:

Qualitative data analysis is the analysis of numerical data using statistical methods.

It is the responsibility of the researcher to gather data properly, to manage data properly, to keep data safe and secure, and to adequately and expertly analyse that data for the research project.

If your data is electronically or digitally stored you should:

The fourth framework in the four frameworks approach to research is:

CADA stands for computer assisted data analysis.

CAQDAS stands for:

The first stage of data analysis is description, where the researcher describes the data, and describes what s/he sees in the data.

The third stage in data analysis is:

Outline some of the key ways in which qualitative data can be analysed.

NVivio is a:

CADA stands for:

The argument or point that you make in your data analysis chapter must be:

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Understanding Research Methods, Populations and Sampling

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Analysing Quantitative Data

Analysing Qualitative Data

Drawing Conclusions and Writing Research

Filters