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Showing 1 through 5 of 2,619 records.
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2016 - ICA's 66th Annual Conference Pages: unavailable || Words: unavailable || 
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1. Chan, Lik Sam. "Predicting the Intent to Use Dating Apps to Look for Romance and Sex: Using the Integrative Model of Behavioral Prediction" Paper presented at the annual meeting of the ICA's 66th Annual Conference, Hilton Fukuoka Sea Hawk, Fukuoka, Japan, Jun 09, 2016 Online <APPLICATION/PDF>. 2019-10-23 <http://citation.allacademic.com/meta/p1098745_index.html>
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This study used the integrative model of behavioral prediction (IMBP) to predict the intent to use dating apps to look for romance and casual sex. The IMBP states that any behavioral intent is directly determined by the attitude toward, perceived norm, and self-efficacy of carrying out the behavior, and indirectly determined by some background variables. Two models—Romance and Casual Sex—were tested with structural equation modeling (N = 379). Results were generally consistent with the IMBP, except no relationship was found between the perceived norm and intent in the Sex model. Some background variables were also found to have a direct effect on the intent. In short, the IMBP is useful in analyzing the uses of dating apps.

2017 - 4S Annual Meeting Pages: unavailable || Words: unavailable || 
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2. Randalls, Samuel. "Making Resilience Predictable: Exploring the Predictive Politics of the Modelling and Generation of Resilience" Paper presented at the annual meeting of the 4S Annual Meeting, Sheraton Boston Hotel, Boston MA, Aug 30, 2017 Online <PDF>. 2019-10-23 <http://citation.allacademic.com/meta/p1265872_index.html>
Publication Type: Paper Abstract
Review Method: Peer Reviewed
Abstract: Calls to enhance resilience to climate change, security threats, or trauma, might be considered as the very antithesis of predictability. They often evoke unpredictability and surprise, a need to be prepared for the unknown. Yet, predictability is central to assessments and predictions of the resilience capacities and actions of peoples, systems or infrastructures. Predicting resilience, through tests, modelling or other forms of assessment, shapes strategies of intervention to develop more resilience. Predictability becomes associated with the response as much as the event. Drawing on recent research on the ontological politics of resilience (Simon and Randalls, 2016), in this paper I focus on how resilience actors make claims for and enact particular futures while toying with tensions about the nature of predictability in practice. For example, in disaster risk planning and climate change adaptation, modelling is increasingly used to predict the benefit of and choose between possible adaptation and sustainable development interventions to achieve risk reduction to future disastrous events. These models and assessments not only come to shape ‘how much’ resilience actors or systems are said to possess, but also to design interventions to enhance resilience, and predict (often through the same techniques) how the future-proofed newly resilient subjects might respond to those events. In sum, to demonstrate achieving resilience in practice requires a faith in the predictability of resilience, while concomitantly resilience re-crafts what is to be predictable. This paper therefore explores how predictability and resilience are intertwined in climatic/ecological arenas with some comparison to psychology as a contrast.

2018 - 89th Annual SPSA Conference Words: 198 words || 
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3. Shih, Victor. and Jonghyuk, Lee. "Predicting authoritarian selections: Theoretical and machine learning predictions of Politburo promotions for the 19th Party Congress of the Chinese Communist Party" Paper presented at the annual meeting of the 89th Annual SPSA Conference, Hyatt Regency, New Orleans, LA, <Not Available>. 2019-10-23 <http://citation.allacademic.com/meta/p1304382_index.html>
Publication Type: Conference Paper/Unpublished Manuscript
Abstract: The starting argument for this paper is that elite selection and popular elections are both selection of leaders by a selectorate. Although the selectorates are small and their preference is largely hidden from public view, the Leninist institutions and established norms and rules drastically narrow the pool of potential candidates for high level offices, which can be narrowed further by observing elite social networks. Given the increasing availability of demographic, career, performance, and network data on senior Chinese officials, theoretically motivated and machine learning approaches can be used to make predictions about elite selection in China. Focusing on 19th Party Congress promotions into the Politburo, we make three sets of predictions based on theoretically motivated model specifications. We further use a variety of machine learning techniques to make multiple sets of predictions. Preliminary outcomes suggest that both the theoretically motivated models and machine learning approaches have their own pitfalls. For the theoretically motivated models, heavy reliance on informal ties variables will introduce multiple incorrect predictions if informal ties are mis-coded for otherwise competitive candidates. Meanwhile, the accuracy of machine learning predictions may suffer from fundamental shifts in the relationship between some input variables and outcomes in between congresses.

2006 - North American Chapter of the International Group for the Psychology of Mathematics Education Pages: 2 pages || Words: 1163 words || 
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4. Kim, Ok-Kyeong. and Kasmer, Lisa. "What Is Prediction and What Can Prediction Do to Promote Reasoning?" Paper presented at the annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, TBA, Mérida, Yucatán, Mexico, Nov 09, 2006 Online <PDF>. 2019-10-23 <http://citation.allacademic.com/meta/p115406_index.html>
Publication Type: Short Oral Report
Abstract: A recent study shows that prediction is the most prevalent grade level expectation on reasoning in state mathematics standards. In this presentation, we articulate characteristics of prediction and how prediction can be utilized to promote student reasoning using examples from state mathematics standards as well as 8th-grade classroom data.

2008 - NCA 94th Annual Convention Pages: 36 pages || Words: 9000 words || 
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5. Kennedy-Lightsey, Carrie., Madlock, Paul., Horan, Sean. and Booth-Butterfield, Melanie. "Predicting Future Interactions: Predicted Outcome Value Judgments, Attraction, Homophily, and Immediacy" Paper presented at the annual meeting of the NCA 94th Annual Convention, TBA, San Diego, CA, Nov 20, 2008 Online <PDF>. 2019-10-23 <http://citation.allacademic.com/meta/p258315_index.html>
Publication Type: Conference Paper/Unpublished Manuscript
Abstract: The goal of this investigation was to discover which relational factor(s) (Predicted outcome value judgments, attraction, homophily, or nonverbal immediacy) significantly predict future interactions. Opposite sex strangers (N = 140) were randomly assigned to participate in ten-minute interactions, and after interacting, completed measures of attraction, homophily, immediacy, and POV judgments. Results revealed that both POV judgments and social attraction were significant predictors of anticipated future communication, with social attraction being the stronger predictor. Additionally, social attraction mediated the relationship between POV judgments and future communication decisions indicating the influence social attraction has in predicting future interaction. Physical and task attraction, as well as homophily and immediacy had little predicative power in anticipated future interactions.

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