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Michelle G. Newman
Pennsylvania State University
132Publications
37H-index
4,532Citations
Publications 132
Newest
Published on Feb 1, 2019in Behavior Research Methods 3.60
Nicholas C. Jacobson7
Estimated H-index: 7
(Pennsylvania State University),
Sy-Miin Chow14
Estimated H-index: 14
(Pennsylvania State University),
Michelle G. Newman37
Estimated H-index: 37
(Pennsylvania State University)
With the recent growth in intensive longitudinal designs and the corresponding demand for methods to analyze such data, there has never been a more pressing need for user-friendly analytic tools that can identify and estimate optimal time lags in intensive longitudinal data. The available standard exploratory methods to identify optimal time lags within univariate and multivariate multiple-subject time series are greatly underpowered at the group (i.e., population) level. We describe a hybrid ex...
2 Citations Source Cite
Published on Mar 1, 2019in Clinical psychological science
Michelle G. Newman37
Estimated H-index: 37
(Pennsylvania State University),
Nicholas C. Jacobson7
Estimated H-index: 7
(Pennsylvania State University)
+ 3 AuthorsMartin J. Sliwinski47
Estimated H-index: 47
(Pennsylvania State University)
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Published on Jan 1, 2019in IEEE Transactions on Affective Computing 4.58
Jianbo Ye7
Estimated H-index: 7
(Penn State College of Information Sciences and Technology),
Jia Li43
Estimated H-index: 43
(Pennsylvania State University)
+ 2 AuthorsJames Zijun Wang10
Estimated H-index: 10
(Penn State College of Information Sciences and Technology)
We proposed a probabilistic approach to joint modeling of participants’ reliability and humans’ regularity in crowdsourced affective studies. Reliability measures how likely a subject will respond to a question seriously; and regularity measures how often a human will agree with other seriously-entered responses coming from a targeted population. Crowdsourcing-based studies or experiments, which rely on human self-reported affect, pose additional challenges as compared with typical crowdsourcing...
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Yu Luo , Jianbo Ye + 3 AuthorsJames Ze Wang40
Estimated H-index: 40
Humans are arguably innately prepared to possess the ability to comprehend others' emotional expressions from subtle body movements. A number of robotic applications become possible if robots or computers can be empowered with this capability. Recognizing human bodily expression automatically in unconstrained situations, however, is daunting due to the lack of a full understanding about relationship between body movements and emotional expressions. The current research, as a multidisciplinary ef...
Published on Nov 19, 2018in Clinical psychological science
Lucas S. LaFreniere1
Estimated H-index: 1
(Pennsylvania State University),
Michelle G. Newman37
Estimated H-index: 37
(Penn State Cancer Institute)
This experiment examined learning tendencies in generalized anxiety disorder (GAD) using reinforcement feedback for probabilistic outcomes. One hundred sixty-six GAD and 105 non-GAD participants were randomized to a computerized probabilistic learning task that used either negative or positive reinforcement. Participants chose between stimuli with specific probabilities of reinforcement to learn which of each pair had the highest probability. Reinforced choices either removed an angry face (nega...
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Published on Jan 1, 2018in Psychiatry Research-neuroimaging 2.22
Hanjoo Kim (Pennsylvania State University), Xin Lu14
Estimated H-index: 14
(Penn State College of Information Sciences and Technology)
+ 5 AuthorsMichelle G. Newman37
Estimated H-index: 37
(Pennsylvania State University)
Abstract The aim of this study was to develop a novel set of pictorial stimuli for emotion elicitation. The Image Stimuli for Emotion Elicitation (ISEE), are the first set of stimuli for which there was an unbiased initial selection method and with images specifically selected for high retest correlation coefficients and high agreement across time. In order to protect against a researcher's subjective bias in screening initial pictures, we crawled 10,696 images from the biggest image hosting web...
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Published on Jul 4, 2018in Psychotherapy Research 2.95
Michelle G. Newman37
Estimated H-index: 37
(Pennsylvania State University),
Lucas S. LaFreniere1
Estimated H-index: 1
(Pennsylvania State University),
Nicholas C. Jacobson7
Estimated H-index: 7
(Pennsylvania State University)
AbstractObjective: Evidence is mixed regarding whether relaxation-induced anxiety (RIA) impedes relaxation training (RT) efficacy. Unlike past studies that averaged RIA across sessions, we examined peak RIA, change in RIA level across sessions, and timing of peak RIA with outcome. Method: This was a secondary analysis of Borkovec, Newman, Pincus, and Lytle [2002. A component analysis of cognitive-behavioral therapy for generalized anxiety disorder and the role of interpersonal problems. Journal ...
2 Citations Source Cite
Published on Feb 1, 2018in Journal of Affective Disorders 3.79
Nur Hani Zainal1
Estimated H-index: 1
(Pennsylvania State University),
Michelle G. Newman37
Estimated H-index: 37
(Pennsylvania State University)
Abstract Background Theory-of-mind (ToM) is the ability to accurately infer others’ thoughts and feelings. In generalized anxiety disorder (GAD), cognitive and emotion regulation theories allude to the plausibility that ToM is conditional on the degree of individuals’ state worry, a hallmark symptom. GAD and state worry may interact to predict ToM constructs. However, no experiments have directly tested such interactional hypotheses, and used ToM as a framework to advance understanding of social...
1 Citations Source Cite
Published on May 1, 2018in Journal of Anxiety Disorders 3.48
Michelle G. Newman37
Estimated H-index: 37
(Pennsylvania State University),
Amy Przeworski21
Estimated H-index: 21
(Case Western Reserve University)
Abstract Generalized Anxiety Disorder (GAD) is one of the most common anxiety disorders. It is associated with functional impairment and is unlikely to spontaneously remit. As identified by Asmundson and Asmundson (2018), published research studies on GAD have increased in number over the last decade. We propose that this is due to the high prevalence of the diagnosis and symptoms, interest in transdiagnostic processes, such as worry, increased interest in emotion dysregulation as a principle un...
3 Citations Source Cite
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