Social contagion, adolescent sexual behavior, and pregnancy: A nonlinear dynamic EMOSA model.

Rodgers, Joseph Lee; Rowe, David C.; Buster, Maury A.

doi:10.1037/0012-1649.34.5.1096

Cited by 39 publications

(41 citation statements)

References 46 publications

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“…This finding is consistent with those of past studies indicating that peer norms are a powerful antecedent to sex-related decisions and behaviors among young women (Dishion & Dodge, 2005;Padilla-Walker & Bean, 2009;Rodgers, Rowe, & Buster, 1998), including HPV vaccination (Gerend & Shepherd, 2012;Head & Cohen, 2012;Teitelman et al, 2011).…”

Section: Discussionsupporting

confidence: 82%

Predictors of Initial Uptake of Human Papillomavirus Vaccine Uptake Among Rural Appalachian Young Women

et al. 2013

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Women in Appalachian Kentucky experience a high burden of cervical cancer and have low rates of human papillomavirus (HPV) vaccination. The purpose of this study was to identify normative influences predicting initial HPV vaccine uptake among a sample of young women in southeastern Kentucky. Women (N = 495), ages 18 through 26 years, were recruited from clinics and community colleges. After completing a questionnaire, women received a free voucher for HPV vaccination. Whether women redeemed the voucher for Dose 1 served as the primary outcome variable. Hierarchical logistic regression was used to estimate the influence of healthcare providers, friends, mothers, and fathers on vaccine uptake. One-quarter of the total sample (25.9 %) received Dose 1. Uptake was higher in the clinic sample (45.1 %) than in the college sample (6.9 %). On multivariate analysis, women indicating that their healthcare provider suggested the vaccine, that their friends would "definitely" want them to be vaccinated, and that their fathers would "definitely" want them to receive the vaccine all were 1.6 times more likely to receive Dose 1. Interaction effects occurred between recruitment site (clinic vs. community college) and all three of the normative influences retaining multivariate significance, indicating that the associations only applied to the clinic sample. HPV vaccine interventions may benefit from highlighting paternal endorsement, healthcare provider recommendation, and peer support.

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Section: Discussionsupporting

confidence: 82%

Predictors of Initial Uptake of Human Papillomavirus Vaccine Uptake Among Rural Appalachian Young Women

et al. 2013

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“…In this approach, gender is considered to be an emergent property of a system comprised of the interaction of individual biological and psychological structures with familial and cultural structures. Rodgers, Rowe, and Buster (1998), similarly, modeled onset of sexual behavior as a complex, dynamical system, using mathematical epidemiology to study sociosexual behavior rather than incidence and prevalence of disease. The use of nonlinear dynamic modeling in epidemiology is not new, but applying this approach to social, rather than biological, functioning takes a step toward understanding howhuman behavior-specifically, sexual debut-is not (as it is traditionally viewed) solely a product of individual choice, but rather an emergent phenomenon, the product of a larger system.…”

Section: Complexitymentioning

confidence: 99%

Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking

et al. 2011

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Risky sexual behaviors, including the decision to have unprotected sex, result from interactions between individuals and their environment. The current study explored the use of Agent-Based Modeling (ABM)-a methodological approach in which computer-generated artificial societies simulate human sexual networks-to assess the influence of heterogeneity of sexual motivation on the risk of contracting HIV. The models successfully simulated some characteristics of human sexual systems, such as the relationship between individual differences in sexual motivation (sexual excitation and inhibition) and sexual risk, but failed to reproduce the scale-free distribution of number of partners observed in the real world. ABM has the potential to inform intervention strategies that target the interaction between an individual and his or her social environment.

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“…Other examples abound. These models explicitly corresponded to the psychological, economic, or demographic behavior they were describing (see Rodgers, Rowe, & Buster, 1998, for further discussion). This second postrevolution approach builds the model to fit specific behavioral characteristics and requirements.…”

Section: Behavior Fit To Designed Models Designed To Fit Behaviormentioning

confidence: 99%

“…These models are operationalized as equations, each term of which explicitly matches a piece of the reality that the equations are designed to fit. Rodgers et al (1998) contrasted an EMOSA model of adolescent sexual development with traditional linear models:…”

Section: Behavior Fit To Designed Models Designed To Fit Behaviormentioning

confidence: 99%

The epistemology of mathematical and statistical modeling: A quiet methodological revolution.

Rodgers¹

2010

American Psychologist

Self Cite

371

190

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A quiet methodological revolution, a modeling revolution, has occurred over the past several decades, almost without discussion. In contrast, the 20th century ended with contentious argument over the utility of null hypothesis significance testing (NHST) Keywords: mathematical models, statistical models, null hypothesis significance testing (NHST), Sir Ronald Fisher, teaching methodology A relatively silent methodological revolution has occurred over the past several decades, almost without discussion. Instead, null hypothesis significance testing (NHST) has received virtually all of the attention. Statistical and mathematical modeling-which subsume NHST-have developed into a powerful epistemological system, within which NHST plays an important though not expansive role. To most practicing researchers in psychology, as well as in most statistics and methodology textbooks, NHST is the primary epistemological system used to organize quantitative methods. Instead, researchers and textbook authors should be discussing how to create and compare behavioral models that are represented mathematically and evaluated statistically.Models are all around us, and the term model has many meanings. For example, I built model airplanes as a child. We see male and female fashion models in magazines. Psychologists study role models. These disparate concepts share in common that they are all simplifications of a complex reality. The airplane model does not fly, though its physical appearance matches one that does. The runway model epitomizes beauty and fashion. Role models engage in idealized (though perhaps unrealistic) behavior. In the same sense, our language is also a model. Speaking or writing creates a verbal instantiation of a complex reality. Our language can be nuanced and evocative, as when Elizabeth Barrett Browning wrote about love. Yet language has inherent limitations that necessarily simplify the complexity that it describes. For example, the word love must not have much precision, if I can simultaneously love barbecue, John Steinbeck, and my wife (although precision is added by context, of course). Clearly, language structures have both flexibility and limitations as models of the complicated reality they describe, and so do mathematical models, the topic of this article.What are mathematical models? To Neimark and Estes (1967, p. v), "a mathematical model is a set of assumptions together with implications drawn from them by mathematical reasoning." Why not just use verbal or conceptual models? Bjork (1973)

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Social contagion, adolescent sexual behavior, and pregnancy: A nonlinear dynamic EMOSA model.

Cited by 39 publications

References 46 publications

Predictors of Initial Uptake of Human Papillomavirus Vaccine Uptake Among Rural Appalachian Young Women

Predictors of Initial Uptake of Human Papillomavirus Vaccine Uptake Among Rural Appalachian Young Women

Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking

The epistemology of mathematical and statistical modeling: A quiet methodological revolution.

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