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Institution

Southern Methodist University

EducationDallas, Texas, United States
About: Southern Methodist University is a education organization based out in Dallas, Texas, United States. It is known for research contribution in the topics: Large Hadron Collider & Population. The organization has 6401 authors who have published 17646 publications receiving 749205 citations. The organization is also known as: Southern Methodist & SMU.


Papers
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Journal ArticleDOI
TL;DR: Two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS) are developed and are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period.
Abstract: In recent studies of the structure of affect, positive and negative affect have consistently emerged as two dominant and relatively independent dimensions. A number of mood scales have been created to measure these factors; however, many existing measures are inadequate, showing low reliability or poor convergent or discriminant validity. To fill the need for reliable and valid Positive Affect and Negative Affect scales that are also brief and easy to administer, we developed two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS). The scales are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period. Normative data and factorial and external evidence of convergent and discriminant validity for the scales are also presented.

34,482 citations

Book
29 Aug 1995
TL;DR: Using a practical approach, this book discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodology, mixture experiments and robust design techniques.
Abstract: From the Publisher: Using a practical approach, it discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodology, mixture experiments and robust design techniques. Features numerous authentic application examples and problems. Illustrates how computers can be a useful aid in problem solving. Includes a disk containing computer programs for a response surface methodology simulation exercise and concerning mixtures.

10,104 citations

Journal ArticleDOI
Georges Aad1, T. Abajyan2, Brad Abbott3, Jalal Abdallah4  +2964 moreInstitutions (200)
TL;DR: In this article, a search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented, which has a significance of 5.9 standard deviations, corresponding to a background fluctuation probability of 1.7×10−9.

9,282 citations

Journal ArticleDOI
TL;DR: Research suggesting that certain illusions may be adaptive for mental health and well-being is reviewed, examining evidence that a set of interrelated positive illusions—namely, unrealistically positive self-evaluations, exaggerated perceptions of control or mastery, and unrealistic optimism—can serve a wide variety of cognitive, affective, and social functions.
Abstract: Many prominent theorists have argued that accurate perceptions of the self, the world, and the future are essential for mental health. Yet considerable research evidence suggests that overly positive selfevaluations, exaggerated perceptions of control or mastery, and unrealistic optimism are characteristic of normal human thought. Moreover, these illusions appear to promote other criteria of mental health, including the ability to care about others, the ability to be happy or contented, and the ability to engage in productive and creative work. These strategies may succeed, in large part, because both the social world and cognitive-processing mechanisms impose niters on incoming information that distort it in a positive direction; negative information may be isolated and represented in as unthreatening a manner as possible. These positive illusions may be especially useful when an individual receives negative feedback or is otherwise threatened and may be especially adaptive under these circumstances. Decades of psychological wisdom have established contact with reality as a hallmark of mental health. In this view, the well-adjusted person is thought to engage in accurate reality testing, whereas the individual whose vision is clouded by illusion is regarded as vulnerable to, if not already a victim of, mental illness. Despite its plausibility, this viewpoint is increasingly difficult to maintain (cf. Lazarus, 1983). A substantial amount of research testifies to the prevalence of illusion in normal human cognition (see Fiske& Taylor, 1984;Greenwald, 1980; Nisbett & Ross, 1980; Sackeim, 1983; Taylor, 1983). Moreover, these illusions often involve central aspects of the self and the environment and, therefore, cannot be dismissed as inconsequential. In this article, we review research suggesting that certain illusions may be adaptive for mental health and well-being. In particular, we examine evidence that a set of interrelated positive illusions—namely, unrealistically positive self-evaluations, exaggerated perceptions of control or mastery, and unrealistic optimism—can serve a wide variety of cognitive, affective, and social functions. We also attempt to resolve the following para

7,519 citations

Journal ArticleDOI
TL;DR: Reanalyses of a number of studies of self-reported mood indicate that Positive and Negative Affect consistently emerge as the first two Varimax rotated dimensions in orthogonal factor analyses or as thefirst two second-order factors derived from oblique solutions.
Abstract: Reanalyses of a number of studies of self-reported mood indicate that Positive and Negative Affect consistently emerge as the first two Varimax rotated dimensions in orthogonal factor analyses or as the first two second-order factors derived from oblique solutions. The two factors emerged with varyi

4,741 citations


Authors

Showing all 6488 results

NameH-indexPapersCitations
Jing Wang1844046202769
Hongfang Liu1662356156290
Yang Yang1642704144071
Steven Williams144137586712
E. L. Barberio1431605115709
Yasushi Nagasaka140131198993
Brad Abbott137156698604
Yurii Maravin1351689102870
Bobby Samir Acharya1331121100545
Igor Volobouev129141793220
Ryszard Stroynowski128132086236
Xiaogang Wang12845273740
Haleh Khani Hadavand12784274206
Rajat Gupta126124072881
Sami Kama12473170171
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202343
2022157
2021780
2020825
2019891
2018765