Profile of Mood States 2nd Edition™

Heuchert, Juvia P.; McNair, Douglas M.

doi:10.1037/t05057-000

Cited by 158 publications

(189 citation statements)

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“…The original POMS (McNair, Lorr, & Droppleman 1992;Lorr, McNair, & Heuchert 2003) which measured six mood states labeled: TensionÀAnxiety, DepressionÀDejection, AngerÀHostility, VigorÀActivity, FatigueÀInertia, and ConfusionÀBewilderment, has been used in about 4000 published studies (see Bourgeois, LeUnes, & Meyers 2010;Heuchert & McNair, 2012;McNair, Heuchert, & Shilony, 2003). The POMS 2-A and POMS 2-Y retain the six subscales of the original POMS instrument, but additionally include a scale for Friendliness.…”

Section: Descriptionmentioning

confidence: 99%

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Measures of Affect Dimensions

Boyle

Helmes

Matthews

et al. 2015

Measures of Personality and Social Psychological Constructs

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Section: Descriptionmentioning

confidence: 99%

“…Construction of the POMS 2-A was based on a normative sample of 1000 North American adults, with stratified random sampling to approximate the USA 2000 census. Norms for the POMS 2-Y were based on 100 adolescents at each age level, a total of 500 cases, also weighted to match the USA 2000 census (Heuchert & McNair, 2012).…”

Section: Samplementioning

confidence: 99%

Measures of Affect Dimensions

Boyle

Helmes

Matthews

et al. 2015

Measures of Personality and Social Psychological Constructs

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“…A total score reflective of a broader mood disturbance is also provided. Over the years a number of shortened and/or revised versions have been developed with the most recent iteration being the Profile of Mood States, 2nd edition, (POMS-2; Heuchert and McNair 2012). While the POMS/POMS-2 do assess anger, anxiety, and depression which are all prominent mood states of pain patients, discriminant validity in pain populations has not been clearly established (Turk and Robinson 2011).…”

Section: Emotional Functioningmentioning

confidence: 99%

Pain Assessment: A Practical Guide for Researchers and Clinicians

Dixon

Thorn

2015

J Rat-Emo Cognitive-Behav Ther

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Pain is one of the most universal experiences of humankind, affecting all populations across the globe. In the United States over 100 million individuals are reported to be suffering with chronic pain (Institute of Medicine in Relieving pain in America: a blueprint for transforming prevention, care, education and research, The National Academies Press, Washington, 2011) and approximately 80 % of all medical visits stem directly from pain complaints (Quartana et al. in Expert Rev Neurother 9:745-758, 2009). This paper discusses a recent movement toward standardization of the pain assessment process to improve the quality of patient reported outcomes in clinical trials through the work of the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) workgroup and the National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS) Roadmap Initiative. We review pain assessment from the framework of the recommendations of IMMPACT including the key assessment domains and the specific instruments recommended for use. We also review the PROMIS item banks and their usefulness in fulfilling the spirit of the IMMPACT recommendations. Finally, we discuss important assessment domains that could be a part of all comprehensive pain assessments that were not addressed by IMMPACT or PROMIS and make recommendations for adoption for clinical practice.

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“…Since POMS has five negative emotions and only one positive emotion in the scale, it is essential to add new positive emotions for the analysis. For a possible candidate, POMS2 [22] that is the second edition of POMS with new positive emotion Friendliness has released and translated into Japanese recently. Furthermore, there are numerous other psychological measures.…”

Section: Discussionmentioning

confidence: 99%

Correlations and fluctuations in the word sets of collective emotions

Sano

2018

NOLTA

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Abstract:In recent times, research on extracting collective emotion from social media has been actively pursued. When constructing collective emotions from social media, a bag-ofwords, which is made of an aggregation of related words' frequencies, is often used. However, correlations between targeted words, as well as fluctuations under the word aggregation process, have attracted little attention. In this research, we examine the correlations and fluctuations of words contained within the collective emotion in Japanese blogs. From our result, we found that correlations between words belonging to the same emotion tend to be higher than correlations between different emotions, and the fluctuation is reduced by the aggregation process. We believe that our conclusion is applicable not only to the frequency of occurrence of words but also to systems consisting of small components in various contexts.

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Profile of Mood States 2nd Edition™

Cited by 158 publications

References 0 publications

Measures of Affect Dimensions

Measures of Affect Dimensions

Pain Assessment: A Practical Guide for Researchers and Clinicians

Correlations and fluctuations in the word sets of collective emotions

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