Michael T. Stephenson

Reliability and validity of a brief measure of sensation seeking

Abstract We developed a self-report measure of sensation seeking, a dispositional risk factor for various problem behaviors. In two studies, we administered the Brief Sensation Seeking Scale (BSSS) to more than 7000 adolescents. Study 1 participants completed a paper-and-pencil form of the BSSS in mass-testing sessions. Psychometric analyses of the resultant data revealed suitable item characteristics and internal consistency of responses to the items across age (13–17 years), sex, and ethnic categories. Study 2 participants, who completed the BSSS individually in an interview format, also provided data on their perceptions of and experiences with licit and illicit drugs as well as a series of additional risk and protective factors. Scores on the full BSSS correlated inversely with negative attitudes toward drug use and positively with drug use; sensation seeking as measured by the BSSS was a particularly strong predictor of the intention to try marijuana in the future. BSSS scores were reliably and predictably associated with other risk and protective factors.

A Monte Carlo Simulation of Observable Versus Latent Variable Structural Equation Modeling Techniques

In this study, three approaches commonly used by communication scientists to specify structural relationships using full-information maximum likelihood structural equation modeling are investigated. Specifically, a simulation study using Monte Carlo techniques was conducted to compare the structural paths generated by each of the three structural equation model types. Two of the three approaches utilized forms of latent variable modeling, and the third approach employed observed variables only. Of the three, the observed variable approach produced the most conservative structural path coefficients, whereas the hybrid latent variable approach generated the least attenuated coefficients. The appropriateness of each technique in modeling structural relationships is discussed and an argument is made for greater use of latent variable structural equation modeling in the field of communication.

The Importance of Indirect Effects in Media Effects Research: Testing for Mediation in Structural Equation Modeling

This essay addresses the need for media effects researchers to decompose their structural equation models. We highlight the importance of studying specific indirect effects within a conditional effects framework and discuss how the lack of analysis of this type of effect in structural equation modeling does not fit well with the disciplines theoretical foundations. We summarize several classes of mediation formulas and make recommendations for the estimation and testing of mediating relationships. Finally, an argument is made that the study of mediation is a necessary but not sufficient condition for better understanding media influence.

Further Evidence That Psychological Reactance Can Be Modeled as a Combination of Anger and Negative Cognitions

The primary objective of this investigation was to validate the recent operationalization of state reactance as a latent construct comprised of both affective and cognitive components. In addition to testing the operationalization of reactance, the authors tested the conceptual coherence of this construct by examining its association with threat-to-choice perceptions and ad persuasiveness of condom ads. Across seven condom television ads, the authors found evidence in support of treating reactance as a latent variable comprised of negative cognitions and state anger. An invariance test demonstrated that both of these variables loaded on reactance equivalently across all seven ads. In addition, results indicate that threat-to-choice perceptions are positively associated with reactance, thus providing conceptual consistency of this operationalization with Brehms explication of reactance. Furthermore, the authors found evidence suggesting a negative association between ad persuasiveness with reactance and threat-to-choice perceptions.

Sensation seeking, perceived message sensation value, personal involvement, and processing of anti-marijuana PSAs

Drug prevention research has demonstrated the effectiveness of high sensation value messages in influencing drug-related attitudes and behaviors of high sensation seekers (HSS). While there is insight into what kinds of messages are most effective in persuading HSS, we have much less understanding of the cognitive and affective processes which lead to such outcomes. This study assessed the influence of perceived message sensation value and personal involvement with marijuana on how 386 adolescent participants processed the arguments, storylines, and audio and visual elements in anti-marijuana PSAs. Three types of processing - cognitive, narrative, and sensory-were investigated. The findings suggest that perceived message sensation value is influential in mitigating the inhibiting influence of personal involvement among high sensation seekers on message processing. The practical and theoretical implications of these findings are discussed.

In their own words: the reasons why people will (not) sign an organ donor card.

This multisite, qualitative study of 78 family-pair dyads provides rich data on the reasons people cite for (not) wanting to sign an organ donor card in the context of family conversations. In this study, dyads were videotaped as they discussed 8 questions pertaining to their views on organ donation, beginning with the most general opinions and progressing to more detailed questions. Analysis of the transcribed data revealed that the most common reasons for wanting to donate organs were based on religion or a desire to help other people in need. The most common reasons cited for not wanting to donate organs were mistrust (of doctors, hospitals, and the organ allocation system), a belief in a black market for organs in the United States, and deservingness issues (that ones organs would go to someone who brought on his or her own illness, or who could be a “bad person”). One of the most surprising findings is that religion is offered far more often as a rationale for wanting to help sick people through organ donation than it was for not wanting to donate organs. These findings both support and contradict past studies based on quantitative survey data. Implications for the construction of more effective future organ donor campaigns are discussed.

Examining the Decision to Talk with Family About Organ Donation: Applying the Theory of Motivated Information Management

Research on organ donation suggests a strong association between family discussions about the issue and final organ donor status. However, very few studies have examined the factors that influence individuals’ willingness to talk directly to their family about this topic or the impact of these discussions. This investigation provides a partial test of a newly developed theory of information management to better understand the processes of family discussions about organ donation. Results from two studies generally support the utility of the theory in this context, suggest ways in which organ donation campaigns may improve their effectiveness, and recommend future directions for researchers in this area. Moreover, the data show differences across ethnic groups that support and extend past work in this area.

Short‐term effects of an anti‐marijuana media campaign targeting high sensation seeking adolescents

Abstract Sensation seeking, a biologically‐based personality variable, is strongly related to both drug use and preferences for highly novel, arousing, and/or unconventional messages and TV programs. This connection is the basis of a targeting strategy in an anti‐marijuana public service announcement campaign in a medium‐sized market aimed at high sensation seeking adolescents. Data from the first half of the media campaign suggest that the anti‐marijuana PSAs are reaching the target audiences marijuana‐related beliefs, attitudes, and behaviors in the experimental city when compared to the control city. Implications for future campaigns are discussed.

Predictors of exposure from an antimarijuana media campaign: outcome research assessing sensation seeking targeting.

Using data from a large-scale antimarijuana media campaign, this investigation examined the demographic and psychographic variables associated with exposure to public service announcements designed to target high sensation-seeking adolescents. The literature on sensation seeking indicates that adolescents high in this trait are at greater risk for substance abuse. Analyses assessed the predictive utility of various risk and protective factors, normative influences, demographic variables, and marijuana-related attitudes, intentions, and behaviors on campaign message exposure. Results confirm that level of sensation seeking was positively associated with greater message exposure. In addition, viewers reporting greater exposure were younger adolescents who indicated that they had poor family relations, promarijuana attitudes, and friends and family who used marijuana. Implications for designing future antimarijuana messages based on these findings are discussed.

On the Use of Structural Equation Modeling in Health Communication Research

Structural equation modeling (SEM) is a multivariate technique suited for testing proposed relations between variables. In this article, the authors discuss the potential for SEM as a tool to advance health communication research both statistically and conceptually. Specifically, the authors discuss the advantages that latent variable modeling in SEM affords researchers by extracting measurement error. In addition, they argue that SEM is useful in understanding communication as a complex set of relations between variables. Moreover, the authors articulate the possibility for examining communication as an agent, mediator, and an outcome. Finally, they review the application of SEM to recursive models, interactions, and confirmatory factor analysis.