Causal Research Design: Experimentation. Concept of Causality A statement such as "X causes Y " will have the following meaning to an ordinary person.

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Causal Research Design: Experimentation

Concept of Causality A statement such as "X causes Y " will have the following meaning to an ordinary person and to a scientist. ____________________________________________________ Ordinary Meaning Scientific Meaning ____________________________________________________ X is the only cause of Y.X is only one of a number of possible causes of Y. X must always lead to YThe occurrence of X makes the (X is a deterministicoccurrence of Y more probable cause of Y).(X is a probabilistic cause of Y). It is possible to proveWe can never prove that X is a that X is a cause of Y.cause of Y. At best, we can infer that X is a cause of Y. ____________________________________________________

Conditions for Causality Concomitant variation is the extent to which a cause, X, and an effect, Y, occur together or vary together in the way predicted by the hypothesis under consideration. The time order of occurrence condition states that the causing event must occur either before or simultaneously with the effect; it cannot occur afterwards. The absence of other possible causal factors means that the factor or variable being investigated should be the only possible causal explanation.

Evidence of Concomitant Variation between Purchase of Fashion Clothing and Education High Low 363 (73%)137 (27%) 322 (64%)178 (36%) Purchase of Fashion Clothing, Y 500 (100%) Low Education, X

Purchase of Fashion Clothing By Income and Education Low Income Purchase HighLow High Low Education 200 (100%) 300 (100%) (61%) 171 (57%) 78 (39%) 129 (43%) High Income Purchase High Low 241 (80%) 151 (76%) 59 (20%) 49 (24%) Education

Definitions and Concepts Independent variables are variables or alternatives that are manipulated and whose effects are measured and compared, e.g., price levels. Test units are individuals, organizations, or other entities whose response to the independent variables or treatments is being examined, e.g., consumers or stores. Dependent variables are the variables which measure the effect of the independent variables on the test units, e.g., sales, profits, and market shares. Extraneous variables are all variables other than the independent variables that affect the response of the test units, e.g., store size, store location, and competitive effort.

Experimental Design An experimental design is a set of procedures specifying the test units and how these units are to be divided into homogeneous subsamples, what independent variables or treatments are to be manipulated, what dependent variables are to be measured, and how the extraneous variables are to be controlled.

Validity in Experimentation Internal validity refers to whether the manipulation of the independent variables or treatments actually caused the observed effects on the dependent variables. Control of extraneous variables is a necessary condition for establishing internal validity. External validity refers to whether the cause-and-effect relationships found in the experiment can be generalized. To what populations, settings, times, independent variables and dependent variables can the results be projected?