An experimental design permits inferences about cause and effect because researchers use an evenhanded procedure to assign people to two or more treatment conditions. In an experiment, the events and behaviors of interest are divided into two types: independent and dependent variables. The independent variable is the one the investigator expects to cause changes in another variable. The dependent variable is the one the investigator expects to be influenced by the independent variable. Cause-and-effect relationships can be detected because the researcher directly controls or manipulates changes in the independent variable by exposing participants to the treatment conditions. Then the researcher compares their performance on measures of the dependent variable.
In one laboratory experiment, researchers explored the impact of teaching families to engage in healthy, respectful communication (independent variable) on parents’ efforts at conflict resolution and teenage children’s adjustment (dependent variables). Family triads, composed of two parents and their adolescent child, were randomly assigned to one of three groups: (1) parents-only communication training, consisting of four weekly sessions in which parents, guided by specially trained research assistants, discussed and practiced techniques aimed at improving family communication, (2) parents plus adolescent communication training, also four sessions, in which adolescent children participated with their parents, and (3) self-study control, in which parents were given a syllabus to guide them through four weeks of readings on effective family relationships.
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