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Dive into the research topics where LeeAnn Kahlor is active.

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Featured researches published by LeeAnn Kahlor.


Health Communication | 2010

PRISM: A Planned Risk Information Seeking Model

LeeAnn Kahlor

Recent attention on health-related information seeking has focused primarily on information seeking within specific health and health risk contexts. This study attempts to shift some of that focus to individual-level variables that may impact health risk information seeking across contexts. To locate these variables, the researcher posits an integrated model, the Planned Risk Information Seeking Model (PRISM). The model, which treats risk information seeking as a deliberate (planned) behavior, maps variables found in the Theory of Planned Behavior (TPB; Ajzen, 1991) and the Risk Information Seeking and Processing Model (RISP; Griffin, Dunwoody, & Neuwirth, 1999), and posits linkages among those variables. This effort is further informed by Kahlors (2007) Augmented RISP, the Theory of Motivated Information Management (Afifi & Weiner, 2004), the Comprehensive Model of Information Seeking (Johnson & Meischke, 1993), the Health Information Acquisition Model (Freimuth, Stein, & Kean, 1989), and the Extended Parallel Processing Model (Witte, 1998). The resulting integrated model accounted for 59% of the variance in health risk information-seeking intent and performed better than the TPB or the RISP alone.


Science Communication | 2006

Seeking and Processing Information about Impersonal Risk

LeeAnn Kahlor; Sharon Dunwoody; Robert J. Griffin; Kurt Neuwirth

Attempts to model risk response tend to focus on risks that pose a direct personal threat. This study examined the applicability of one risk response model to impersonal risks—risks that threaten something other than the self, in this case, the environment. This study utilized a section of the Griffin et al. risk-information seeking and processing model, which depicts relationships between informational subjective norms and information seeking and processing as being mediated by perceptions of information insufficiency. The results indicate that while those relationships do hold for impersonal risk, informational subjective norms (perceived social pressure to be informed) may play an even more complex role than initially anticipated. These norms may be a powerful predictor of seeking and processing when individuals face impersonal risks.


Science Communication | 2009

If We Seek, Do We Learn? Predicting Knowledge of Global Warming

LeeAnn Kahlor; Sonny Rosenthal

Derived from the risk information seeking and processing model (RISP), this study sought to isolate predictors of the publics knowledge of global warming. Using a national sample ( N = 805), multiple regression yielded a number of significant relationships among 13 moderators. Notably, the number of media sources used for information about global warming, information seeking effort, and general education were relatively strong predictors of knowledge. Counter to expectations, informational subjective norms were inversely related to knowledge.


Science Communication | 2013

What, Me Worry? The Role of Affect in Information Seeking and Avoidance

Z. Janet Yang; LeeAnn Kahlor

Guided by the risk information-seeking and processing model, this study examines positive and negative affect separately in their influence on information-seeking intentions and avoidance through structural equation analyses. The highlight is that information avoidance seems to be driven by positive affect, while information seeking seems to be more heavily influenced by negative affect. Another interesting finding is that informational subjective norms are positively related to both seeking and avoidance, which suggests that one’s social environment has the potential to strongly influence the way he or she handles climate change information. Implications for theory and practice are discussed.


Journal of Broadcasting & Electronic Media | 1999

Media use and public confidence in democratic institutions

Patricia Moy; Michael Pfau; LeeAnn Kahlor

Content analyses have documented media negativity toward democratic institutions, and survey data have confirmed increasingly negative perceptions of these institutions. This study examines the impact of various media on confidence in democratic institutions — the Office of the Presidency, Congress, the criminal court system, the news media, the police, and the public school system. After accounting for the impact of respondent demographics, knowledge (expertise), and political partisanship, the results revealed limited influence of media use on perceptions of these institutions. Contrary to expectations, television news viewing predicted positively to perceptions of the news media and public schools, and newspaper reading was associated with favorable evaluations of the criminal court system and schools. Significant interaction effects were found for the news media and public schools, with listening to political talk radio eliciting lower levels of confidence among stronger Republican partisans. The only...


Health Communication | 2014

Predicting Cancer Risk Knowledge and Information Seeking: The Role of Social and Cognitive Factors

Shelly R. Hovick; Ming-Ching Liang; LeeAnn Kahlor

This study tests an expanded Structural Influence Model (SIM) to gain a greater understanding of the social and cognitive factors that contribute to disparities in cancer risk knowledge and information seeking. At the core of this expansion is the planned risk information seeking model (PRISM). This study employed an online sample (N = 1,007) of African American, Hispanic, and non-Hispanic White adults. The addition of four cognitive predictors to the SIM substantially increased variance explained in cancer risk knowledge (R2 = .29) and information seeking (R2 = .56). Health literacy mediated the effects of social determinants (socioeconomic status [SES] and race/ethnicity) on cancer risk knowledge, while subjective norms mediated their effects on cancer risk information seeking. Social capital and perceived seeking control were also shown to be important mediators of the relationships between SES and cancer communication outcomes. Our results illustrate the social and cognitive mechanisms by which social determinants impact cancer communication outcomes, as well as several points of intervention to reduce communication disparities.


Journal of Health Communication | 2014

Personal Cancer Knowledge and Information Seeking Through PRISM: The Planned Risk Information Seeking Model

Shelly R. Hovick; LeeAnn Kahlor; Ming-Ching Liang

This study retested PRISM, a model of risk information seeking, and found that it is applicable to the context of cancer risk communication. The study, which used an online sample of 928 U.S. adults, also tested the effect of additional variables on that model and found that the original model better fit the data. Among the strongest predictors of cancer information seeking were seeking-related subjective norms, attitude toward seeking, perceived knowledge insufficiency, and affective risk response. Furthermore, risk perception was a strong predictor of an affective risk response. The authors suggest that, given the robustness across studies, the path between seeking-related subjective norms and seeking intention is ready to be implemented in communication practice.


Public Understanding of Science | 2002

Attributions in explanations of risk estimates.

LeeAnn Kahlor; Sharon Dunwoody; Robert J. Griffin

In the spring of 1993, nearly 40 percent of Milwaukee-area residents experienced a nationally publicized outbreak of cryptosporidium, a parasite that infested the metropolitan drinking water supply. Using open-ended survey data gathered from 610 adult residents in the wake of that outbreak, this study looks at factors related to the ways in which people make sense of their quantitative personal risk estimates. The concepts of informal reasoning and attribution aided this endeavor. Analysis of open-ended comments about the risk of getting ill from a waterborne parasite indicated that explanations of personal risk were consistent with predictions made by attribution theory. Good outcomes, which included having remained healthy during the outbreak, were associated with a greater likelihood that respondents would attribute causation to themselves, while one specific bad outcome, having experienced the illness, was associated with a greater likelihood that respondents would attribute causation externally. This study also examined predictors of whether respondents employed probabilistic language in those attributions. Analysis indicated that income was positively related to the use of probability-oriented language, while age and race were negatively related to the use of such language (i.e., persons of color and older individuals were less likely to use such language).


Journal of Broadcasting & Electronic Media | 2001

If College Students Are Appointment Television Viewers ...

Suzanne Pingree; Robert P. Hawkins; Jacqueline Hitchon; Eileen Gilligan; Barry Radler; LeeAnn Kahlor; Bradley Gorham; Gudbjörg Hildur Kolbeins; Toni Schmidt; Prathana Kannaovakun

Whether television viewers are selective or passive has generally drawn its findings from two non-overlapping research traditions. Research showing little audience selectivity in aggregite audiences may stem from how the aggregate is defined-an idea pursued here with an examination ofcollege student viewing. Results from a week of viewing show evidence of both structural and individual determination of selection. These results suggest additional qualifications on use of student samples for communication research.


Science Communication | 2004

Predicting Knowledge Complexity in the Wake of an Environmental Risk

LeeAnn Kahlor; Sharon Dunwoody; Robert J. Griffin

In 1993, the parasite cryptosporidium infested the Milwaukee-area drinking supply and sickened some 400,000 people. This study uses survey data gathered from 610 residents in the wake of that outbreak to look at predictors of the complexity of people’s understanding of two causal components of the outbreak: (1) how the parasite got into the water and (2) how it caused illness in the human body. Analysis of open-ended data indicated that, consistent with the predictors used in the knowledge gap literature, indicators of socioeconomic status are significant predictors of differences in explanatory complexity. Also, consistent with the literature on motivation and knowledge seeking, experience with and worry about the parasite served as predictors of explanatory complexity under certain circumstances.

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Barry Radler

University of Wisconsin-Madison

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Jacqueline Hitchon

University of Wisconsin-Madison

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Ming-Ching Liang

University of Texas at Austin

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Robert P. Hawkins

University of Wisconsin-Madison

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Suzanne Pingree

University of Wisconsin-Madison

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Toni Schmidt

University of Wisconsin-Madison

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Michael Mackert

University of Texas at Austin

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Ronald C. Serlin

University of Wisconsin-Madison

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Sharon Dunwoody

University of Wisconsin-Madison

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