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Application of Behavior Change Theory to the Development

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BEHAVIOR CHANGE THEORY<br />

<strong>the</strong>se reasons, it is very difficult <strong>to</strong> attribute causality <strong>to</strong> an independent variable. If<br />

<strong>the</strong>re is a systematic difference in a dependent variable associated with levels <strong>of</strong> an<br />

independent variable, <strong>the</strong> two variables may be related, but no causal relationship is<br />

implied (Tabachnick & Fidell, 2001). Eventually, a judgment will need <strong>to</strong> be made as <strong>to</strong><br />

whe<strong>the</strong>r that statistical association represents a cause-effect relationship between <strong>the</strong><br />

independent and dependent variables. Unfortunately, this kind <strong>of</strong> judgment requires<br />

inferences that reach beyond <strong>the</strong> data from any single study (Hennekens & Buring,<br />

1987).<br />

Uncertainty in <strong>the</strong> cause and effect association complicates <strong>the</strong> process for establishing<br />

causality; a critical component in an administra<strong>to</strong>r’s decision <strong>to</strong> institute research-based<br />

policy. Since <strong>the</strong> data from a single quasi-experimental study is insufficient for this<br />

purpose, more extensive criteria have evolved <strong>to</strong> support <strong>the</strong> claim <strong>of</strong> causal inference.<br />

They include <strong>the</strong> following:<br />

• Strength <strong>of</strong> Association: The greater <strong>the</strong> magnitude <strong>of</strong> <strong>the</strong> effect size, <strong>the</strong> less likely <strong>the</strong><br />

association is spurious.<br />

• Consistency: Repeated observation <strong>of</strong> an association in independent studies.<br />

• Temporality: Documentation that cause precedes effect in time.<br />

• Response Relationship: Outcome relates <strong>to</strong> <strong>the</strong> intensity, frequency, or duration <strong>of</strong> a<br />

treatment or exposure (or a combination <strong>of</strong> <strong>the</strong>se).<br />

• Coherence <strong>of</strong> Evidence: The observed relationship is consistent with what is known<br />

about underlying <strong>the</strong>ory, models, natural his<strong>to</strong>ry, or biology.<br />

Given a nonexperimental traffic safety research agenda and <strong>the</strong> attendant causal<br />

indeterminacy problem, <strong>the</strong> Trans<strong>the</strong>oretical Model <strong>of</strong>fers several advantages <strong>to</strong> traffic<br />

safety research, including:<br />

• Face Validity: The TTM contains motivational components familiar <strong>to</strong> those<br />

identified by traffic safety researchers who consider <strong>the</strong>m <strong>to</strong> be efficacious, even<br />

essential treatment elements. Therefore, acceptance <strong>of</strong> <strong>the</strong> TTM would be enhanced<br />

due both <strong>to</strong> familiarity and an intuitive understanding <strong>of</strong> its precepts.<br />

• Outcome and Recalcitrance: The TTM has consistently demonstrated significant<br />

results even with intractable subjects and immutable behaviors. Consequently, <strong>the</strong><br />

TTM provides a blueprint for <strong>the</strong> development <strong>of</strong> better treatments capable <strong>of</strong><br />

producing larger effect sizes even with <strong>the</strong> most recalcitrant negligent opera<strong>to</strong>rs.<br />

Large effect sizes are imperative when conducting quasi-experimental research.<br />

• Research Agenda: Causal indeterminacy demands vision, a mental image <strong>of</strong> <strong>the</strong><br />

succession <strong>of</strong> studies needed <strong>to</strong> establish consistency through corroborative<br />

research. TTM research has blazed that trail and those efforts could serve as a<br />

compass for future traffic safety research.<br />

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