1993
DOI: 10.1037/0033-295x.100.3.479
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Social contagion and adolescent sexual behavior: A developmental EMOSA model.

Abstract: Epidemic Models of the Onset of Social Activities (EMOSA models) describe the spread of adolescent transition behaviors (e.g., sexuality, smoking, and drinking) through an interacting adolescent network. A theory of social contagion is defined to explain how social influence affects sexual development. Contacts within a network can, with some transition rate or probability, result in an increase in level of sexual experience. Five stages of sexual development are posited. One submodel proposes a systematic pro… Show more

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Cited by 86 publications
(101 citation statements)
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“…They did not show that the data ruled out the simpler model. Rodgers and Rowe (1993), in their study of teenage sexual behavior, fit two different models making somewhat different assumptions. Although "both models were consistent with the data according to chi-square tests" (p. 495), Rodgers and Rowe favored one of them.…”
Section: Defenses Of the Use Of Good Fits As Evidencementioning
confidence: 99%
See 1 more Smart Citation
“…They did not show that the data ruled out the simpler model. Rodgers and Rowe (1993), in their study of teenage sexual behavior, fit two different models making somewhat different assumptions. Although "both models were consistent with the data according to chi-square tests" (p. 495), Rodgers and Rowe favored one of them.…”
Section: Defenses Of the Use Of Good Fits As Evidencementioning
confidence: 99%
“…Rodgers and Rowe (1993) proposed a theory that explains how teenagers come to engage in various sexual behaviors for the first time. It emphasizes contact with other teenagers--a "contagion" (p. 479) explanation.…”
Section: How Persuasive Is a Good Fit?mentioning
confidence: 99%
“…Finally, if 0 > 1 and 1 < 1 and 2 > ℎ 2 , then there is coexistence of two locally asymptotically stable equilibria, * and + ℎ , such that the stability of these equilibrium points depends on the initial condition of system (15) (see Figure 9). In contrast to model (1), when 0 is chosen as a bifurcation parameter, model (15) has the crime-free equilibrium 0 given by (16), which indicates the possibility of the forward bifurcation ( Figure 10). If 0 < 1, then the crimefree equilibrium 0 of system (15) is locally asymptotically stable; if 0 > 1, 0 becomes unstable and * is locally asymptotically stable if 1 < 1.…”
Section: High-criminality Equilibriummentioning
confidence: 99%
“…Now consider the resulting model (15). The local stability of the low-criminality equilibrium , which is examined by linearizing system (15) around , is governed by the Jacobian matrix …”
Section: Low-criminality Equilibriummentioning
confidence: 99%
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