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Abstract

Combining psycholinguistic technologies and systems analysis created advances in motivational profiling and numerous new behavioral engineering applications. These advances leapfrog many mainstream statistical research methods, producing superior research results via cause-effect language mechanisms. Entire industries explore motives ranging from opinion polling to persuasive marketing campaigns, and individual psychotherapy to executive performance coaching. Qualitative research tools such as questionnaires, interviews, and focus groups are now transforming static language data into dynamic linguistic systems measurement technology. Motivational mechanisms, especially linguistic mechanisms, allow specific changes within a motive’s operations. This includes both the choices the intervention creates and its end-goal. Predictable behavior changes are impossible with popular statistical methods. Advanced linguistic research strategies employ motivational change methods with state-of-the -art language and communications modeling.

Keywords

Motivational Profiling, Motivation, Systems Analysis, Behavioral Engineering, Content Analysis, Measurement Paradigms, Linguistic Frames, Psycholinguistics, Behavioral Prediction, Quantitative Strategies, Mechanism of Action, and Behavior Change

Publication Date

9-1-2007

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

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