A third difference is the framing of research questions for causal designs. In exploratory and
survey research designs, initial research questions are typically framed broadly and hypotheses
focus on the magnitude and/or direction of the association, and not on causality. In contrast,
questions examining causal relationships between variables are framed with the focus being on
the specific impact (or influence) one variable causes on another variable.
A. The Nature of Experimentation (PPT slides 5-18 and 5-19)
Exploratory and descriptive research designs are useful for many types of studies. But they do
not verify causal links between marketing variables. In contrast, experiments are causal
research designs and can explain cause-and-effect relationships between variables/constructs
and determine why events occur.
Experimental research is primarily a hypothesis-testing method that examines hypotheses
about relationships between independent and dependent variables. Researchers develop
hypotheses and then design an experiment to test them. To do so, researchers must identify
the independent variables that might bring about changes in one or more dependent variables.
Experiments and other causal designs are most appropriate when the researcher wants to find
out why certain events occur, and why they happen under certain conditions and not others.
Experiments provide stronger evidence of causal relationships than exploratory or descriptive
designs because of the control made possible by causal research designs.
Experiments enable marketing researchers to control the research situation so that causal
relationships among the variables can be examined. In a typical experiment, the independent
variable is manipulated (changed) and its effect on another variable (dependent variable) is