Question 1

The fourth and final 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

The second stage of data analysis is interpretation, where the researcher interprets the data. The researcher attempts to detail and explain what the data mean, the meaning of the data.

Accepted Answer

A) True 
 B)False

Question 3

It is of the utmost importance that the analysis and the findings from the analysis are grounded in the data.

Accepted Answer

A) True 
 B)False

Question 4

Mixed methods research is superior to research that generates only quantitative data or only qualitative data.

Accepted Answer

A) True 
 B)False

Question 5

A coding key is a guide, created by the researcher, to the codes used in coding the data before inputting the data into the computer.

Accepted Answer

A) True 
 B)False

Question 6

For the most efficient management of a large qualitative data set:

Accepted Answer

A) A thematic approach to analysis is most effective. 
B) A computerised qualitative data analysis software package, CAQDAS, is invaluable. 
C) The use of a calculator is essential. 
D) The use of SPSS is essential. 
A) A thematic approach to analysis is most effective. 
B) A computerised qualitative data analysis software package, CAQDAS, is invaluable. 
C) The use of a calculator is essential. 
D) The use of SPSS is essential.

Question 7

The four stages of data analysis are description, interpretation, conclusions, and theorisation.

Accepted Answer

A) True 
 B)False

Question 8

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

Accepted Answer

Qualitative data can be analysed in term

Question 9

When using a dedicated software package for data analysis, the researcher must code the data before inputting it into the computer.

Accepted Answer

A) True 
 B)False

Question 10

Some research projects generate quantitative data, some generate qualitative data and some generate a mixture of both, this is known as mixed methods research.

Accepted Answer

A) True 
 B)False

Question 11

Sometimes researchers gather both quantitative and qualitative data for their research project; this is known as:

Accepted Answer

A) A mixed methods research project. 
B) A large research project. 
C) A large data set. 
D) A cross concepts research project. 
A) A mixed methods research project. 
B) A large research project. 
C) A large data set. 
D) A cross concepts research project.

Question 12

CAQDAS stands for computer assisted qualitative data analysis software.

Accepted Answer

A) True 
 B)False

Question 13

Semiotics is:

Accepted Answer

A) The study of surveys and survey research. 
B) The study of case studies and case study research. 
C) The study of experiments and experimental research. 
D) The study of signs, their form, content and expression, in society. 
A) The study of surveys and survey research. 
B) The study of case studies and case study research. 
C) The study of experiments and experimental research. 
D) The study of signs, their form, content and expression, in society.

Question 14

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 15

Summarising statistics are:

Accepted Answer

A) Difficult to calculate. 
B) Easy to calculate. 
C) Highly sophisticated mathamatical manipulations. 
D) Statistics that provide summaries of data. 
A) Difficult to calculate. 
B) Easy to calculate. 
C) Highly sophisticated mathamatical manipulations. 
D) Statistics that provide summaries of data.

Question 16

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 17

There are two different approaches to the analysis of data, quantitative data analysis and qualitative data analysis.

Accepted Answer

A) True 
 B)False

Question 18

In checking accuracy in data, and accuracy in the way in which data was loaded into the computer software package, the researcher is engaged in cleaning the data.

Accepted Answer

A) True 
 B)False

Question 19

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

Accepted Answer

A) True 
 B)False

Question 20

Data management is:

Accepted Answer

A) The correct, safe and secure management of data. 
B) The responsibility of the thesis supervisor. 
C) The responsibility of research participants. 
D) The responsibility of research assistants. 
A) The correct, safe and secure management of data. 
B) The responsibility of the thesis supervisor. 
C) The responsibility of research participants. 
D) The responsibility of research assistants.

The fourth and final stage in data analysis is:

The second stage of data analysis is interpretation, where the researcher interprets the data. The researcher attempts to detail and explain what the data mean, the meaning of the data.

It is of the utmost importance that the analysis and the findings from the analysis are grounded in the data.

Mixed methods research is superior to research that generates only quantitative data or only qualitative data.

A coding key is a guide, created by the researcher, to the codes used in coding the data before inputting the data into the computer.

For the most efficient management of a large qualitative data set:

The four stages of data analysis are description, interpretation, conclusions, and theorisation.

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

When using a dedicated software package for data analysis, the researcher must code the data before inputting it into the computer.

Some research projects generate quantitative data, some generate qualitative data and some generate a mixture of both, this is known as mixed methods research.

Sometimes researchers gather both quantitative and qualitative data for their research project; this is known as:

CAQDAS stands for computer assisted qualitative data analysis software.

Semiotics is:

CAQDAS stands for:

Summarising statistics are:

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

There are two different approaches to the analysis of data, quantitative data analysis and qualitative data analysis.

In checking accuracy in data, and accuracy in the way in which data was loaded into the computer software package, the researcher is engaged in cleaning the data.

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

Data management is:

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

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Exam 13: Managing Data and Introducing Data Analysis

The fourth and final stage in data analysis is:

The second stage of data analysis is interpretation, where the researcher interprets the data. The researcher attempts to detail and explain what the data mean, the meaning of the data.

It is of the utmost importance that the analysis and the findings from the analysis are grounded in the data.

Mixed methods research is superior to research that generates only quantitative data or only qualitative data.

A coding key is a guide, created by the researcher, to the codes used in coding the data before inputting the data into the computer.

For the most efficient management of a large qualitative data set:

The four stages of data analysis are description, interpretation, conclusions, and theorisation.

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

When using a dedicated software package for data analysis, the researcher must code the data before inputting it into the computer.

Some research projects generate quantitative data, some generate qualitative data and some generate a mixture of both, this is known as mixed methods research.

Sometimes researchers gather both quantitative and qualitative data for their research project; this is known as:

CAQDAS stands for computer assisted qualitative data analysis software.

Semiotics is:

CAQDAS stands for:

Summarising statistics are:

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

There are two different approaches to the analysis of data, quantitative data analysis and qualitative data analysis.

In checking accuracy in data, and accuracy in the way in which data was loaded into the computer software package, the researcher is engaged in cleaning the data.

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

Data management is:

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

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