When you carry out your dissertation, you may need to measure, manipulate and/or control the variables you are investigating. For example, a household could have three or five children, but not 4.52 children. There are four main types: Independent variables (IV). A. Nominative B. Ordinal Quantitative variables can be continuous or discrete. The two types of quantitative variables are: A. Ordinal and ratio B. Interval and ordinal C. Nominative and ordinal D. Interval and ratio E. Nominative and interval. Quantitative research involves many kinds of variables. Variables can either be quantitative or qualitative. age, weight, etc. Extraneous variables. Any variables that can be expressed numerically are called quantitative variables. Each is discussed below. Quantitative research may be a little less accurate for certain types of research, but it provides more data at a faster (and cheaper) rate. and categorical variables (for which you ask "what type?"). ). Some common variables used in statistics are explained here. Sample variables. Quantitative research requires that both an independent (predictor) and dependent (outcome) variable exist for measurement and testing. Understanding the types of variables you are investigating in your dissertation is necessary for all types of quantitative research design, whether you using an experimental, quasi-experimental, relationship-based or descriptive research design. Quantitative variables are numerical variables: counts, percents, or numbers. Two types of variables are used in statistics: Quantitative (also called measurement variable or numerical variables) and categorical (also called qualitative):. Quantitative variables are again of two types: discrete and continuous. Quantitative variables. In business circles, quantitative research is a key factor in following trends for better financial investment decisions. Some examples of quantitative variables are shown below. The basic distinction is between the type of variables: quantitative variables (for which you ask "how much?") D. Interval and ratio. Dependent variables (DV). Types of variables. 5. Temperature (in degrees Fahrenheit) is an example of a(n) _____ variable. Surveys are perhaps the most common form of quantitative research. Variables such as some children in a household or number of defective items in a box are discrete variables since the possible scores are discrete on the scale. ; Categorical variables are descriptions of groups or things, like “breeds of dog” or “voting preference”. Independent Variables (IV) Independent variables (IV) are those that are suspected of being the cause in a causal relationship. In theory, continuous variables such as weight can take any value within a … Quantitative data collection involves measurement of variables A variable is a characteristic of a unit being observed that may assume more than one of a set of values to which a numerical measure or a category from a classification can be assigned (e.g.