Chapter 13Managing Data and Introducing Data Analysis

The analytical framework:
1. Is the first framework in the four frameworks approach to the research project.
2. Is the second framework in the four frameworks approach to the research project.
3. Is the third framework in the four frameworks approach to the research project.
4. Is the fourth framework in the four frameworks approach to the research project.
Quantitative data analysis:
1. The same as qualitative data analysis.
2. The analysis of numerical data using statistical methods.
3. Is an element of the theoretical framework.
4. Does not draw on statistics or statistical methods.
Qualitative data analysis:
1. The same as qualitative data analysis.
2. The analysis of numerical data using statistical methods.
3. Is an element of the theoretical framework.
4. Is the analysis of qualitative data. Qualitative data is non-numerical data.
SPSS, Atlas ti and NVivo are all examples of:
1. Conceptual frameworks.
2. Methodological frameworks.
3. Data analysis software packages.
4. Analytical frameworks.
One of the major roles of research is the generation of:
1. Theory.
2. CADA.
3. CAQDAS
4. SPSS.
Data management is:
1. A fundamental responsibility of the research supervisor.
2. A fundamental responsibility of research participants.
3. A fundamental responsibility of the researcher.
4. A fundamental responsibility of the organisation where the research is carried out.
When the researcher designs the data gathering methods for the research project:
1. S/he gets all the help possible.
2. S/he designs data gathering methods of which they have some experience.
3. S/he ensures that at least one of the methods is a questionnaire.
4. The researcher, at the same time, develops a sense of how the data will be analysed.
Simple and small quantitative data sets can be analysed:
1. Only with the use of a software package like SPSS.
2. By simply counting the numbers and calculating simple statistics in relation to them.
3. Using Atlas ti.
4. Using NVivo.
If there is a great deal of quantitative data to analyse it would be appropriate to use:
1. CAQDAS.
2. Atlas ti.
3. NVivo.
4. SPSS.
CADA is:
1. Computer Assisted Data Analysis.
2. Card Analysis and Desk Analysis.
3. Can anyone do data analysis?
4. Calling All Data Analysts.
Qualitative data is:
1. Non-numeric data.
2. Numeric data.
3. Data in the form of numbers.
4. Quantitative data.
Data analysis software packages are particularly helpful:
1. In sourcing literature.
2. In managing data and data analysis.
3. The work of outlining the aim and objectives of the study.
4. When making decisions about data gathering methods.
The first stage in the four stages of data analysis is the stage of:
1. Describing data.
2. Gathering data.
3. Collecting data.
4. Managing data.
The fourth and final stage of data analysis is the stage of:
1. Describing data.
2. Gathering data.
3. Managing data.
4. Theorisation.
Data reduction is a fundamental aim of the process of:
1. Managing data.
2. Gathering data.
3. Losing data.
4. Data analysis.