Question 1

Atlas ti is a:
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.

Accepted Answer

Atlas ti is a computer software package that is specifically designed to support qualitative data analysis. It provides tools for organizing, coding, and retrieving qualitative data such as interviews, focus groups, surveys, and other non-numeric data. Therefore, options A and B are incorrect because they are related to quantitative data analysis, whereas option D is incorrect because Atlas ti does not support quantitative data analysis.

Question 2

NUDIST is a:
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.

Accepted Answer

NUDIST is a computer software package designed to support qualitative data analysis, specifically for tasks such as coding, organizing, and exploring textual and multimedia data. It is not designed for quantitative data analysis.

Question 3

The focus of any plan for data management is:
A)The cost of the plan.
B)The security and safety of the data.
C)The complexity of the plan.
D)The secrecy of the plan.

Accepted Answer

The focus of any plan for data management should be on the security and safety of the data. This includes measures to prevent unauthorized access, ensure data accuracy and completeness, and protect against data loss or corruption. While cost, complexity, and secrecy may be factors to consider, they should not be the primary focus of the plan.

Question 4

NVivio is a:
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.

Accepted Answer

NVivo is a computer software package that is specifically designed to support qualitative data analysis. It allows researchers to organize, analyze, and interpret non-numerical data such as text, images, audio, and video. NVivo is widely used in fields such as social sciences, market research, and healthcare to facilitate qualitative research and data analysis. Therefore, option C is the best choice.

Question 5

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

Accepted Answer

CADA stands for Computer Assisted Data Analysis. This term refers to the use of software and technology to assist in analyzing and interpreting data.

Question 6

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

Accepted Answer

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

Question 7

The third stage of data analysis is the conclusions stage; the researcher draws a major or a minor conclusion from the data. In drawing conclusions, the researcher moves the interpretation along, from stating what it is that they see in the data, and what they think that means, to drawing some kind of conclusion about it.

Accepted Answer

This statement is true.

Question 8

CAQDAS stands for:
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.

Accepted Answer

CAQDAS stands for Computer Assisted Qualitative Data Analysis System, which refers to software tools that assist researchers in managing, analyzing, and interpreting qualitative data. Choice A (Can Analyse Quantitative Data And Statistics) and Choice B (Can Analyse Qualitative Data And Statistics) are both incorrect as CAQDAS refers specifically to qualitative data analysis. Choice C (Can Analyse Qualitative Data Sets) is close but insufficient, as it overlooks the role of computer-based tools in the analysis process.

Question 9

Data management is:
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.

Accepted Answer

Data management refers to the correct, safe, and secure management of data, including its collection, storage, sharing, and analysis. It is the responsibility of all those involved in the research process, including researchers, institutions, and funding agencies, to ensure that data is managed in a way that protects its integrity, confidentiality, and availability. The thesis supervisor, research participants, and research assistants are all stakeholders in the research process, but the ultimate responsibility for data management lies with the researchers themselves.

Question 10

If your data is electronically or digitally stored you should:
A)Keep it on a memory stick.
B)Keep it on a DVD.
C)Make copies of the file.
D)Keep it locked away.

Accepted Answer

Making copies of the file and storing them in different locations is the best way to ensure that your data is safe from loss or damage. It is also recommended to use cloud storage or external hard drives for backup. Memory sticks and DVDs can easily get lost or damaged, and locking away the data in one place is not sufficient in case of a disaster or theft.

Question 11

The fourth and final stage of data analysis is the theorisation stage. The researcher theorises their data by linking it with the theory, laid out the in the literature review carried out for the research.

Accepted Answer

In the theorisation stage, the researcher links their data with the theory presented in the literature review to develop theoretical explanations or hypotheses.

Question 12

There are essentially:
A)Two kinds of data, quantitative and qualitative.
B)Three different kinds of data, quantitative, qualitative and mixed.
C)Four different kinds of data, quantitative, qualitative, mixed and scientific.
D)Five different kinds of data, quantitative, qualitative, mixed, scientific and sound.

Accepted Answer

The two primary types of data are quantitative (numerical) and qualitative (non-numerical). Mixed data refers to a combination of these two types of data, therefore it is not its own distinct category. Scientific and sound data can both fall under either quantitative or qualitative data, depending on the nature of the measurement.

Question 13

Qualitative data is data in the form of:
A)Numbers.
B)Statistics.
C)Mathamatical equations.
D)Feelings, beliefs, perspectives, opinions.

Accepted Answer

Qualitative data refers to non-numerical or subjective data such as opinions, feelings, beliefs, and perspectives. It is typically collected through methods such as interviews, focus groups, and observation, and is often analyzed through coding and categorization to identify themes and patterns. Therefore, the best choice is D which encompasses all these aspects of qualitative data.

Question 14

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

Accepted Answer

It is essential that any analysis and its results should be based on the data collected. Otherwise, the findings may not be accurate or reliable. Therefore, it is true that analysis and its results should be grounded in the data.

Question 15

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

Interpretation is indeed the second stage of data analysis, where the researcher attempts to explain the meaning of the data.

Question 16

The fourth framework in the four frameworks approach to research is:
A)The conceptual framework.
B)The theoretical framework.
C)The methodological framework.
D)The analytical framework.

Accepted Answer

The fourth framework in the four frameworks approach to research is the analytical framework. This framework pertains to the specific methods and techniques used to analyze and interpret the data gathered through research. It outlines the steps to be taken in analyzing the data and the tools to be utilized to ensure accurate and valid results.

Question 17

Quantitative data is data in the form of:
A)Numbers.
B)Narratives and stories.
C)Drawings, cartoons, paintings, photographs.
D)Feelings, beliefs, perspectives, opinions.

Accepted Answer

Quantitative data is composed of numerical values that can be measured and analyzed using statistical methods. This includes data such as income, age, height, weight, and test scores. Narratives, stories, drawings, cartoons, paintings, photographs, feelings, beliefs, perspectives, and opinions are examples of qualitative data, which is more subjective and difficult to quantify.

Question 18

The computer software package SPSS is useful:
A)For the analysis of qualitative data.
B)For the analysis of quantitative data.
C)For the analysis of mixed data.
D)For the analysis of scientific data.

Accepted Answer

SPSS is primarily designed for the analysis of quantitative data. It can perform various statistical analyses such as descriptive statistics, hypothesis testing, regression analysis, and factor analysis, among others. However, it may not be suitable for the analysis of qualitative or mixed data.

Question 19

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

Accepted Answer

Summarising statistics are statistics that provide summaries of data, making them easy to understand and interpret. They are not necessarily difficult to calculate, nor do they always require highly sophisticated mathematical manipulations.

Question 20

Sometimes researchers gather both quantitative and qualitative data for their research project; this is known as:
A)A mixed methods research project.
B)A large research project.
C)A large data set.
D)A cross concepts research project.

Accepted Answer

When researchers gather both quantitative and qualitative data for their research project, it is known as a mixed methods research project. This approach allows for a more comprehensive understanding of the research question by analyzing both numerical data and subjective experiences.

Quiz 13: Managing Data and Introducing Data Analysis

Atlas ti is a:

NUDIST is a:

The focus of any plan for data management is:

NVivio is a:

CADA stands for:

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

CAQDAS stands for:

Data management is:

If your data is electronically or digitally stored you should:

The fourth and final stage of data analysis is the theorisation stage. The researcher theorises their data by linking it with the theory, laid out the in the literature review carried out for the research.

There are essentially:

Qualitative data is data in the form of:

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

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.

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

Quantitative data is data in the form of:

The computer software package SPSS is useful:

Summarising statistics are:

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