Exam 13: Managing Data and Introducing Data Analysis

There are essentially:

There are two different orders of data, quantitative data and qualitative data.

The computer software package SPSS is useful:

Data management is the correct, safe and secure management of data.

Simple and small quantitative data sets can be analysed by simply counting the numbers and calculating simple statistics in relation to them.

Quantitative data is data in the form of:

NUDIST is a:

Data is 'cleaned' to ensure that it is accurate.

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.

Explain the role of research in the generation of theory.

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

Qualitative data analysis does not draw on statistics or statistical methods; this is because qualitative data is non-numerical data.

If there is a lot of quantitative data, it may be necessary, even advisable, to use a dedicated software package for the analysis.

Computerised data analysis software packages are particularly helpful with:

Signs in society are signs because they signify something and anything that has signifying power can be studied:

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

The focus of any plan for data management is:

Soap and water is essential to the process of cleaning data.

The second stage in data analysis is:

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.