1,721,363 research outputs found
In Memoriam: Nima Dorjee Ragnubs (1934–2021)
No full textDagyab Loden Sherab. ‘In Memoriam: Nima Dorjee Ragnubs (1934–2021)’. IATS WEbsite. Blog of the International Association of Tibetan Studies (blog), 2022. http://www.iats.info/blog/
In Memoriam: Nima Dorjee Ragnubs (1934–2021)
No full textDagyab Loden Sherab. ‘In Memoriam: Nima Dorjee Ragnubs (1934–2021)’. IATS WEbsite. Blog of the International Association of Tibetan Studies (blog), 2022. http://www.iats.info/blog/
Mind, Brain and the Path to Happiness: A guide to Buddhist mind training and the neuroscience of meditation
No full textFollowing the Tibetan Buddhist tradition of Dzogchen, the book guides the reader through the gradual steps in transformation of the practitioner�s mind and brain on the path to advanced states of balance, genuine happiness and wellbeing. Dusana Dorjee explains how the mind training is grounded in philosophical and experiential exploration of the notions of happiness and human potential, and how it refines attention skills and cultivates emotional balance in training of mindfulness, meta-awareness and development of healthy emotions. The book outlines how the practitioner can explore subtle aspects of conscious experience in order to recognize the nature of the mind and reality. At each of the steps on the path the book provides novel insights into similarities and differences between Buddhist accounts and current psychological and neuroscientific theories and evidence. Throughout the book the author skilfully combines Buddhist psychology and Western scientific research with examples of meditation practices, highlighting the ultimately practical nature of Buddhist mind training
Compte rendu : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art
No full textCompte rendu : Revue bibliographique de sinologie, 1997, 208 : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art. New York-Oxford: Oxford University Press, 1996
Compte rendu : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art
No full textCompte rendu : Revue bibliographique de sinologie, 1997, 208 : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art. New York-Oxford: Oxford University Press, 1996
Compte rendu : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art
No full textCompte rendu : Revue bibliographique de sinologie, 1997, 208 : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art. New York-Oxford: Oxford University Press, 1996
Compte rendu : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art
No full textCompte rendu : Revue bibliographique de sinologie, 1997, 208 : B. Lipton, Nima Dorjee Ragnubs, Treasures of Tibetan Art, Collections of the Jacques Marchais Museum of Tibetan Art. New York-Oxford: Oxford University Press, 1996
Validating the Developmental Inventory of Mental Health and Wellbeing Capacities (DIWeC)
No full textProject summary:
Current self-report measures of mental health and wellbeing have two main shortcomings. (1) First, they are formulated in ‘symptom-focused’ ways, such as in terms of positive/negative emotions, gradients of happiness or satisfaction with life. While useful for diagnosing, these measures are hard to translate into effective mental health and wellbeing interventions since knowing that someone is scoring lower on an assessment of positive emotions or happiness doesn’t point to any particular approaches to address this. Indeed, Huppert (2017) suggested that measures of mental health and wellbeing should be focusing on identifying internal resources underlying the ‘symptom-focused’ experiences and added that this is pivotal to formulating effective mental health and wellbeing policies to improve population wellbeing. (2) The second key shortcoming of current mental health and wellbeing measures is that they are self-focused. For example, they assess how satisfied one is with life or to what extent one feels good about oneself. Such formulations do not consider whether one’s individual mental health and wellbeing comes at a cost to others (for example, through exploitation or overconsumption) and thus are not responsive to the current societal challenges we are facing, such as the sustainability crisis. The self-focused nature of measures might also result in missing out on important ‘internal resources’ which support individual mental health and wellbeing but are linked to value-based relational aspects of life such as prosociality.
To address these limitations, a new Developmental Theory of Mental Health and Wellbeing Capacities (DeTeC, Dorjee, 2024; Dorjee & Roeser, 2022) has been formulated in terms of cognitive and affective internal resources called mental health and wellbeing capacities, expanding the scope of mental health and wellbeing theories beyond symptom-focus and self-focus. The two key wellbeing capacities proposed in this theory are the self-regulation capacity and the self-world capacity, based on extensive research of the previous literature suggesting that self-regulation/self-control (e.g., Woodward et al., 2017) and qualities such as prosociality, empathy (Huppert, 2017) and flexible self-concept can be considered internal resources associated with and predictive of mental health and wellbeing as well as sustainable and prosocial behaviour.
To enable further research on the mental health and wellbeing capacities postulated in the DeTeC, we have developed a new measure of these capacities called the Developmental Inventory of Wellbeing Capacities (DIWeC). The measure currently has an adult version and a child version (7-12 year olds). The purpose of the current project is to validate the adult version of the DIWeC as a precursor to validation of the child version. The adult version of DIWeC consists of 40 items in 10 facets (five facets per each of the two capacities). The high number of facets is purposefully formulated based on the DeTeC theory to allow for granularity in identifying strengths/difficulties and recommending treatment for key aspects of capacities in mental health and educational intervention/prevention practice. The validation will be conducted in two rounds of confirmatory analyses (due to the theory-driven nature of the measures as in Kesebir et al., 2019). In the first round the measure will be presented on its own to assess validity of the items and their loadings onto the pre-defined facets (approx. N=300). The second round of confirmatory analyses (approx. N=300) will require the DIWeC measure presented together with other established measures to assess its convergent and divergent validity. The other measures will involve Depression, Anxiety, Stress Scale (DASS-21; Henry & Crawford, 2005) which is one of the least probing mental health measures, an established measure of wellbeing such as the Psychological Wellbeing Scale (Ryff, 1989), Self-Regulation Scale (SRS; Luszczynska et al., 2004), and a Prosocialness Scale for Adults (PSA; Caprara, 2005). Demographic information about participants' age, gender, ethnicity and highest education level achieved will also be collected to allow for sample description.
References:
Caprara, G. V., Steca, P., Zelli, A., & Capanna, C. (2005). A new scale for measuring adults' prosocialness. European Journal of psychological assessment, 21(2), 77-89.
Dorjee, D. (2021). The Covid-19 pandemic, political polarisation, climate change and the useless class: Why fostering wellbeing capacities should be part of the solution. https://osf.io/preprints/mindrxiv/qtkyr
Dorjee, D. and Roeser, R.W. (2022) ‘The science of flourishing in child and adolescent development: description, explanation and implications for prevention and promotion’ in Duraiappah, A.K., van Atteveldt, N.M., Borst, G., Bugden, S., Ergas, O., Gilead, T., Gupta, L., Mercier, J., Pugh, K., Singh, N.C. and Vickers, E.A. (eds.) Reimagining Education: The International Science and Evidence based Assessment. New Delhi: UNESCO MGIEP. DOI: https://doi.org/10.56383/HORU5152
Henry, J. D., & Crawford, J. R. (2005). The short‐form version of the Depression Anxiety Stress Scales (DASS‐21): Construct validity and normative data in a large non‐clinical sample. British journal of clinical psychology, 44(2), 227-239.
Huppert, F. A. (2017). Measurement really matters. Measuring wellbeing series; discussion paper, 2.
Kesebir, P., Gasiorowska, A., Goldman, R., Hirshberg, M. J., & Davidson, R. J. (2019). Emotional Style Questionnaire: A multidimensional measure of healthy emotionality. Psychological assessment, 31(10), 1234.
Luszczynska, A., Diehl, M., Gutiérrez-Doña, B., Kuusinen, P., & Schwarzer, R. (2004). Measuring one component of dispositional self-regulation: Attention control in goal pursuit. Personality and Individual Differences, 37(3), 555-566.
Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of personality and social psychology, 57(6), 1069.
Woodward, L. J., Lu, Z., Morris, A. R., & Healey, D. M. (2017). Preschool self regulation predicts later mental health and educational achievement in very preterm and typically developing children. The Clinical Neuropsychologist, 31(2), 404-422
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
