Exam 14: Analysing Quantitative Data

A variable is a characteristic with more than one:

The dependent variable is what is measured in an experiment. It is the variable that responds to the independent variable.

There are different level variables, nominal variables, ordinal variables and interval variables.

The independent variable is the variable that is introduced or acted upon in some way in the experiment in order to produce some effect on the dependent variable.

Summarising statistics are:

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used in selecting participants for the research project becomes critical. :

The researcher, steeped in the analysis of the data, plans the data analysis chapter/section, and constructs a framework for this chapter or section. This framework is the analytical framework for the research project.

Each variable in the data gathered can be described using:

CADA, as well as facilitating data analysis, also served as a tool for managing data.

Secondary source data is particularly useful to researchers who cannot access primary sources. Explain this statement.

Statistics are used in quantitative data analysis for two purposes:

Descriptive statistics are used to describe the data gathered.

A dichotomous variable has:

Loading data for analysis into a software package is simple work but very precise work. It takes time.

In quantitative analysis the unit of measurement is:

Hypothesis testing is commonly used in research in:

A variable is a characteristic with more than one value.

The median is:

The analytical framework is the third framework in the four frameworks approach to the research project.

In quantitative data analysis the unit of measurement is the variable.