Abstract and Keywords
Forms of modeling in the field are described in nontechnical terms. Included are analytical (mathematical), computational (computer simulation, mainly of connectionist networks), and statistical (generic, transcontent data theory, and methods) modeling. Distinctions among modeling forms are stipulated, and each is exposited through the method of illustration, with exemplary prototypes. Potential avenues of integration among complementing types of analytical modeling are identified. Emphasized throughout is the demonstrable need to invoke formal modeling to rigorously address the long-held dynamical nature of the topic domain. It is noted that analytical modeling can disclose otherwise intractable information, including that with implications for stress-related intervention; it can also prescribe its own empirical tests and measures, resembling theory-assessment technology found in longer established scientific disciplines.
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