uantitative method, the third section discusses kinds of description that experiments generate, and the fourth section offers examples of usefulness of experiments for describing intimacy.
A general definition of qualitative methods is ‘mathematical approach to knowledge development on a phenomenon by collection and analysis of empirical data.’ Features of quantitative methods that distinguish them from qualitative methods also define the quantitative methods. Quantitative methods seek to investigate precision of an occurrence, to investigate and generalize and occurrence and to test hypothesis on an occurrence. In addition, a research method that outlines its research procedures in advance defines quantitative methods.
One of the defining characteristics of experiments is existence of a control group and an experimental group in a study for investigating treatment effects. Other defining features of experiments are randomization of research participants into the control and experimental groups and post-test measure for treatment effect that culminates the data collection stage of experiments (The Open University 2015, week 6, p. 7).
One of the descriptions that experiments generate is description of individual variables in a study that can be inferred to population parameters. Experiments also generate description of relationships between variables and this includes nature of the relationship, strength of the relationship, and significance of the relationship. In addition, the analyses identify strengths of relationships through coefficients and reliability of a relationship model (The Open University 2015, week 6, p. 7).
Experiments are useful in describing correlations between variables, cause and effect relationships, and characteristics of variables in people’s daily lives. One of the examples of usefulness of experiments for describing intimacy is in describing correlations between intimacy and other factors such as moral expectations, social