Relevant bibliographies by topics / Happiness Measurement

Academic literature on the topic 'Happiness Measurement'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Happiness Measurement"

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Helm, David T. "The Measurement of Happiness." American Journal on Mental Retardation 105, no. 5 (2000): 326. http://dx.doi.org/10.1352/0895-8017(2000)105<0326:tmoh>2.0.co;2.

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Pietro, Cipresso, Serino Silvia, and Riva Giuseppe. "The Pursuit of Happiness Measurement: A Psychometric Model Based on Psychophysiological Correlates." Scientific World Journal 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/139128.

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Everyone is interested in the pursuit of happiness, but the real problem for the researchers is how to measure it. Our aim was to deeply investigate happiness measurement through biomedical signals, using psychophysiological methods to objectify the happiness experiences measurements. The classic valence-arousal model of affective states to study happiness has been extensively used in psychophysiology. However, really few studies considered a real combination of these two dimensions and no study further investigated multidimensional models. More, most studies focused mainly on self-report to measure happiness and a deeper psychophysiological investigation on the dimensions of such an experience is still missing. A multidimensional model of happiness is presented and both the dimensions and the measures extracted within each dimension are comprehensively explained. This multidimensional model aims at being a milestone for future systematic study on psychophysiology of happiness and affective states.
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Wang, Jhing-Fa, Chung-Hsien Wu, Shulan Hsieh, Shyhnan Liou, and Bo-Wei Chen. "Detection, Measurement, and Enhancement of Happiness." Scientific World Journal 2014 (2014): 1. http://dx.doi.org/10.1155/2014/841206.

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BOGNAR, GREG. "Authentic Happiness." Utilitas 22, no. 3 (July 30, 2010): 272–84. http://dx.doi.org/10.1017/s0953820810000191.

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This article discusses L. W. Sumner's theory of well-being as authentic happiness. I distinguish between extreme and moderate versions of subjectivism and argue that Sumner's characterization of the conditions of authenticity leads him to an extreme subjective theory. More generally, I also criticize Sumner's argument for the subjectivity of welfare. I conclude by addressing some of the implications of my arguments for theories of well-being in philosophy and welfare measurement in the social sciences.
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Frey, Bruno S., and Alois Stutzer. "Maximizing Happiness?" German Economic Review 1, no. 2 (May 1, 2000): 145–67. http://dx.doi.org/10.1111/1468-0475.00009.

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Abstract The measurement of individual happiness challenges the notion that revealed preferences only reliably and empirically reflect individual utility. Reported subjective well-being is a broader concept than traditional decision utility; it also includes concepts like experience and procedural utility. Micro- and macroeconometric happiness functions offer new insights on determinants of life satisfaction. However, one should not leap to the conclusion that happiness should be maximized, as was suggested for social welfare function maximization. In contrast, happiness research strengthens the validity of an institutional approach, such as reflected in the theory of democratic economic policy.
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NG, YEW-KWANG. "SOME CONCEPTUAL AND METHODOLOGICAL ISSUES ON HAPPINESS: LESSONS FROM EVOLUTIONARY BIOLOGY." Singapore Economic Review 60, no. 04 (September 2015): 1540001. http://dx.doi.org/10.1142/s0217590815400019.

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Despite recent intense interest, happiness studies have been impeded by some conceptual and methodological problems, including viewing happiness (well-being/welfare) as different over different persons, as relative, multi-dimensional, non-cardinally measurable, interpersonally non-comparable and using non-cardinal and interpersonally non-comparable methods of happiness measurement. Using the evolutionary biology of happiness, this paper argues that happiness is absolute, universal, and uni-dimensional and is also cardinally measurable and interpersonally comparable. This is needed to make choices motivated by reward (pleasure) and punishment (pain) consistent with fitness maximization. However, happiness indices obtained by virtually all existing methods of happiness measurement are largely non-cardinal and non-comparable, making the use of averaging in group happiness indices of dubious philosophical validity. A method of measuring happiness to give cardinal and interpersonally comparable indices is discussed. These may contribute towards the more scientific study of happiness that is based on sounder methodological grounds as well as yielding more useful results.
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Al-Ani, Muzhir Shaban. "Happiness Measurement Via Classroom Based on Face Tracking." UHD Journal of Science and Technology 3, no. 1 (January 25, 2019): 9. http://dx.doi.org/10.21928/uhdjst.v3n1y2019.pp8-19.

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Teaching and learning are important factors in our life, so, increasing the happiness during class cause raising the ability of learning. This research focused on the evaluation of the learning process via classroom before and after applying the proposed method. One of the big challenge during classroom lesson, the students after a short period of time (about 10-15 minutes) at the beginning of the session, turn off their minds and remain absolutely out of understanding. Our goal is to revitalize the classroom environment so that you are always attentive to the lecture. The proposed approach aims to track and detect the emotional facial expression and transient from emotional facial expression to raise the happy expression in order to reach the classroom happiness. Image processing issue is an important part of this approach in which based on face recognition and tracking, then evaluates the students’ happiness according to the proposed mode that located in the classroom. This model is implemented from Raspberry Pi device, tracking camera and high definition screen. The implemented algorithm allows you to continue of face tracing and make rising of happiness as possible. Increasing happiness is an important factor in making students more attractive and more understanding for the classroom lecture. This approach is implemented to cover both software and hardware, so, it is acceptable to work in real time.
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Al-Ani, Muzhir Shaban. "Happiness Measurement Via Classroom Based on Face Tracking." UHD Journal of Science and Technology 3, no. 1 (January 25, 2019): 9. http://dx.doi.org/10.21928/uhdjst.v3n1y2019.pp9-18.

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Teaching and learning are important factors in our life, so, increasing the happiness during class cause raising the ability of learning. This research focused on the evaluation of the learning process via classroom before and after applying the proposed method. One of the big challenge during classroom lesson, the students after a short period of time (about 10-15 minutes) at the beginning of the session, turn off their minds and remain absolutely out of understanding. Our goal is to revitalize the classroom environment so that you are always attentive to the lecture. The proposed approach aims to track and detect the emotional facial expression and transient from emotional facial expression to raise the happy expression in order to reach the classroom happiness. Image processing issue is an important part of this approach in which based on face recognition and tracking, then evaluates the students’ happiness according to the proposed mode that located in the classroom. This model is implemented from Raspberry Pi device, tracking camera and high definition screen. The implemented algorithm allows you to continue of face tracing and make rising of happiness as possible. Increasing happiness is an important factor in making students more attractive and more understanding for the classroom lecture. This approach is implemented to cover both software and hardware, so, it is acceptable to work in real time.
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Hitokoto, Hidehumi, and Yukiko Uchida. "Interdependent Happiness: Theoretical Importance and Measurement Validity." Journal of Happiness Studies 16, no. 1 (January 30, 2014): 211–39. http://dx.doi.org/10.1007/s10902-014-9505-8.

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Suresh, Janani. "An Exploratory Study on the Measurement of the Levels of Happiness in Students in Educational Institutions." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 1955–66. http://dx.doi.org/10.22214/ijraset.2021.38221.

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Abstract: Happiness isn't always simply the state of being glad, it is also a nation of well-being and contentment. Happiness isn't always simply an outside expression of pleasure and bliss however inner contentment as nicely. Happiness, being an expression, is proven and felt and additionally because of human beings, activities and situations. We regularly ask others; Are you glad?, however have you ever requested yourself? Are you glad? This paper is an try and positioned to check the Gross National Happiness formulated with the aid of using the Bhutan state to degree happiness. This index measures the collective happiness, nicely-being, and inner and outside improvement in Bhutan. As a scholar, we are facing a plethora of feelings, nice and poor. But, due to the depth of workload, we discover it tasking to stand a number of poor feelings like pressure, fatigue, impatience, anger, frustration and occasionally even depression. This paper poses as an sincere try and try to seize the proper ranges of happiness we college students reading in academic establishments revel in and outcomes expressed in metrics.
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Dissertations / Theses on the topic "Happiness Measurement"

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Lieblein, Tara L. "Evaluation Of A Presentation And Measurement Method For Assessing Activity Preference." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000124.

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Berlin, Martin. "Essays on the Determinants and Measurement of Subjective Well-Being." Doctoral thesis, Stockholms universitet, Nationalekonomiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-142560.

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This thesis consists of four self-contained essays in economics, all concerned with different aspects of subjective well-being. The abstracts of the four studies are as follows. Beyond Income: The Importance for Life Satisfaction of Having Access to a Cash Margin. We study how life satisfaction among adult Swedes is influenced by having access to a cash margin, i.e. a moderate amount of money that could be acquired on short notice either through own savings, by loan from family or friends, or by other means. We find that cash margin is a strong and robust predictor of life satisfaction, also when controlling for individual fixed effects and socio-economic conditions, including income. Decomposing Variation in Daily Feelings: The Role of Time Use and Individual Characteristics. I explore the potential of using time-use data for understanding variation in affective well-being. Using the Princeton Affect and Time Survey, I decompose variation in daily affect into explained and unexplained within- and between person variation. Time use is found to mostly account for within-variation. Hence, its explanatory power is largely additive to that of individual characteristics. The explanatory power of time use is small, however. Activities only account for 1–7% of the total variation and this is not increased much by adding contextual variables. The Association Between Life Satisfaction and Affective Well-Being. We estimate the correlation between life satisfaction and affect — two conceptually distinct dimensions of subjective well-being. We propose a simple model that distinguishes between a stable and a transitory component of affect, and which also accounts for measurement error in self-reports of both variables, including current-mood bias effects on life satisfaction judgments. The model is estimated using momentarily measured well-being data, from an experience sampling survey that we conducted on a population sample of Swedes aged 18–50 (n=252). Our main estimates of the correlation between life satisfaction and long-run affective well-being range between 0.78 and 0.91, indicating a stronger convergence between these variables than many previous studies that do not account for measurement issues. Do OLS and Ordinal Happiness Regressions Yield Different Results? A Quantitative Assessment. Self-reported subjective well-being scores are often viewed as ordinal variables, but the conventional wisdom has it that OLS and ordered regression models (e.g. ordered probit) produce similar results when applied to such data. This claim has rarely been assessed formally, however, in particular with respect to quantifying the differences. I shed light on this issue by comparing the results from OLS and different ordered regression models, in terms of both statistical and economic significance, and across data sets with different response scales for measuring life satisfaction. The results are mixed. The differences between OLS, probit and logit estimates are typically small when the response scale has few categories, but larger, though not huge, when an 11-point scale is used. Moreover, when the error term is assumed to follow a skewed distribution, larger discrepancies are found throughout. I find a similar pattern in simulations, in which I assess how different methods perform with respect to the true parameters of interest, rather than to each other.
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Cunningham, Isabel L. "The Development of a Three Minute Realtime Sampling Method to Measure Social Harmony during Interactions between Parents and their Toddlers with Autism." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248433/.

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Training parents of a child with autism to increase the frequency of their child's social behavior may improve the quality of parent-child interactions. The purpose of this methodological study was to develop a direct observation method for rapidly sampling social harmony between parents and their toddlers with autism during parent training interactions. The current study used a pre and post probe design, with benchmark comparisons to test the discriminability of the measurement protocol across two sets of data. The first set of data came from pre and post training videos from a parent training program for children with a diagnosis of autism or at risk for a diagnosis. The second set of data came from videos of typically developing toddlers and their parents. The results of the study show that the measurement system differentiated in the level of harmonious engagement between the benchmark sample and the sample including children diagnosed with autism. The results are discussed in the context of future directions and the utility of the measurement system for behavior analytic practices in parent training and other settings where rapport and complex interactional behaviors are an intervention priority.
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Books on the topic "Happiness Measurement"

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Ng, Yew-Kwang. Happiness—Concept, Measurement and Promotion. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-33-4972-8.

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Mahmoudi, Hoda, Jenny Roe, and Kate Seaman. Infrastructure, Well-being and the Measurement of Happiness. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003183242.

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International, Seminar on Operationalization of Gross National Happiness (4th 2008 Thimphu Bhutan). Gross national happiness: Practice and measurement : the proceedings of the Fourth International Conference on Gross National Happiness, 24-26 November 2008. Thimphu: The Centre for Bhutan Studies, 2009.

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1928-, Karma Ura, Dorji Penjore, and Centre for Bhutan Studies.u, eds. Gross national happiness: Practice and measurement : the proceedings of the Fourth International Conference on Gross National Happiness, 24-26 November 2008. Thimphu: The Centre for Bhutan Studies, 2009.

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Happiness and Public Policy (2007 Bangkok, Thailand). Happiness: New paradigm, measurement, and policy implications : the synthesis from the International Conference "Happiness and Public Policy" July 18-19, 2007, Bangkok, Thailand. Bangkok, Thailand: Happy Society Associate, 2009.

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Kozma, Albert. Psychological well-being in later life. Toronto: Butterworths, 1991.

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Kozma, Albert. Psychological well-being in later life: By Albert Kozma, M.J. Stones, J.K. McNeil. Toronto: Butterworths, 1991.

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Ng, Yew-Kwang. Happiness--Concept, Measurement and Promotion. Springer Singapore Pte. Limited, 2021.

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Roe, Jenny, Kate Seaman, and Hoda Mahmoudi. Infrastructure, Wellbeing and the Measurement of Happiness. Routledge, 2022.

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Infrastructure, Wellbeing and the Measurement of Happiness. Taylor & Francis Group, 2022.

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Book chapters on the topic "Happiness Measurement"

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Ng, Yew-Kwang. "What is Happiness? Why is Happiness Important?" In Happiness—Concept, Measurement and Promotion, 1–14. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4972-8_1.

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AbstractThe (net) happiness (or welfare) of an individual is the excess of her positive affective feelings over negative ones. This subjective definition of happiness is more consistent with common usage and analytically more useful. Over the past century or so, both psychology and economics has gone through the anti-subjectivism revolution (behaviorism in psychology and ordinalism in economics) but has come back to largely accept subjectivism (cognitive psychology and recent interest of economists on happiness issues).
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Ng, Yew-Kwang. "Age and Happiness." In Happiness—Concept, Measurement and Promotion, 91–98. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4972-8_9.

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AbstractContrary to the common belief that the age-happiness relationship is mountain shape (the middle aged being happier than children and the aged), it is really largely U shape, with the middle aged (at around mid 30’s or 40’s) least happy. The increase from around 60 to 70’s is particularly clear. However, happiness becomes lower over the last few years of illness before passing away. The decline in happiness from around 12 years old and the trough in happiness level around middle ages may partly be explained by the delay in sleep–wake cycles of teenagers, causing conflict with their mostly middle-aged parents. Recognizing the evolutionary ultimate explanation for this delay advanced here, the society should delay start hours for high schools to fit in with the delayed biological clock of teenagers.
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Ng, Yew-Kwang. "Happiness Versus Preference." In Happiness—Concept, Measurement and Promotion, 15–24. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4972-8_2.

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AbstractThe preference of an individual may differ from her happiness due to imperfect information, a true concern for the welfare of others (non-affective altruism), and imperfect rationality. In some exceptional circumstances, such as the traditional Chinese custom of giving the deceased parent a decent burial and not to disturb them by re-burial, some measures (like banning slavery and using a cemetery for essential developments) may improve social welfare, even if against the preferences of most, and perhaps all, people.
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Ng, Yew-Kwang. "Factors Affecting Happiness." In Happiness—Concept, Measurement and Promotion, 99–114. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4972-8_10.

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AbstractMany factors may affect happiness, including how our needs (including the five levels identified by Maslow) are satisfied. Four important F’s for happiness at the individual level are: faith, form/fitness, family, and friends. At the social level, important factors include environmental quality, equality, social capital (including trust).
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Lee. "Measurement of Public Happiness." In Community Quality-of-Life and Well-Being, 71–104. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89643-0_4.

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Eckhaus, Eyal. "Measurement of Organizational Happiness." In Advances in Intelligent Systems and Computing, 266–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60372-8_26.

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Ng, Yew-Kwang. "Some Conceptual Mistakes About Happiness." In Happiness—Concept, Measurement and Promotion, 25–31. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4972-8_3.

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AbstractCommon mistakes regarding happiness such as: happiness cannot be uni-dimensionally measured, happiness is relative, (the concept/nature of) happiness differs over different individuals, happiness cannot be cardinally measured and interpersonally compared (more in Chap. 10.1007/978-981-33-4972-8_5), etc. are refuted by considering the evolutionary origin of happiness.
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Ng, Yew-Kwang. "Happiness or Life Satisfaction?" In Happiness—Concept, Measurement and Promotion, 33–39. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4972-8_4.

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AbstractLife satisfaction is likely to be more (than happiness) liable to be affected by shifts in the aspiration level, reducing the comparability of the resulting indices. Life satisfaction and/or preference may differ from happiness due to a positive valuation on the contribution to or a concern for the happiness of others. In the presence of such a divergence, levels of life satisfaction may be misleading.
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Ng, Yew-Kwang. "Does Money Buy Happiness?" In Happiness—Concept, Measurement and Promotion, 71–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4972-8_7.

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AbstractAfter a relatively low level of survival and comfort, additional consumption does not increase happiness significantly, especially at the social level. At the individual level, people want more due to the relative competition effect which cancels out at the social level. In addition, the adaptation effects and environmental disruption effects also work to limit the contributions of higher consumption and enlarge the gap between expectation and actuality.
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Timoney, Linden R., and Mark D. Holder. "Measurement of Alexithymia." In Emotional Processing Deficits and Happiness, 17–33. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7177-2_4.

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Conference papers on the topic "Happiness Measurement"

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OHIRKO, Oleh. "CHRISTIAN-ETHICAL MEASUREMENT OF HAPPINESS." In Happiness And Contemporary Society : Conference Proceedings Volume. SPOLOM, 2020. http://dx.doi.org/10.31108/7.2020.46.

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Tongpaeng, Yootthapong, Pradorn Sureephong, and Piraya Wadwongyod. "Employee Happiness Measurement System on Assigned Task in Agile Process." In 2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2022. http://dx.doi.org/10.1109/wpmc55625.2022.10014841.

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Arifino Setyawan, Muhammad, Anisa Herdiani, and Nungki Selviandro. "Ontological Search Engine on Twitter to Collect Data for Bandung Happiness Index Measurement." In Indonesia Symposium on Computing. SOCPRES, 2016. http://dx.doi.org/10.21108/indosc.2016.125.

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Mohd. Sukor, Aishah, and Zamalia Mahmud. "PSYCHOLOGICAL WELL-BEING, HAPPINESS AND STRESS AMONG FOUNDATION COLLEGE EDUCATORS: A RASCH MEASUREMENT APPROACH." In 12th International Conference on Education and New Learning Technologies. IATED, 2020. http://dx.doi.org/10.21125/edulearn.2020.0431.

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Rizal, Yenni, Ahman, Juntika Nurihsan, and Nurhudaya. "Calibration and Standardization of Happiness Measurement Through Rasch Models Based on Multiethnic Teenagers in Indonesia." In Proceedings of the 3rd International Conference on Learning Innovation and Quality Education (ICLIQE 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200129.038.

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Reports on the topic "Happiness Measurement"

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Cuesta-Valiño, Pedro. Happiness Management. A Social Well-being multiplier. Social Marketing and Organizational Communication. Edited by Rafael Ravina-Ripoll. Editorial Universidad de Sevilla, 2022. http://dx.doi.org/10.12795/2022.happiness-management.

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On behalf of the Happiness University Network, we are pleased to present here an extract of the information concerning the universities working to generate the diffusion of this network. Specifically, with the support of the University of Salamanca and the Pontifical University of Salamanca the aim is to create a friendly and working environment for the dissemination and discussion of the latest scientific and practical developments in the fields of happiness economics, corporate wellbeing, happiness management and organisational communication. It also offers an opportunity for productive encounters, the promotion of collaborative projects and the encouragement of international networking. Below you will find papers related to: Economics of happiness, happiness management, organisational communication, welfare state economics, consumer happiness, leadership, social marketing, happiness management and SDGs, happiness management in human resource strategies, learning and competencies in happiness management, learning and competencies in social well-being, measurement and indicators of happiness and well-being and history of welfare economics.
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Spitzer, Sonja, Vanessa di Lego, Angela Greulich, and Raya Muttarak. A demographic perspective on human wellbeing: Concepts, measurement and population heterogeneity. Verlag der Österreichischen Akademie der Wissenschaften, September 2021. http://dx.doi.org/10.1553/populationyearbook2021.int01.

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This introduction to the 2021 special issue of the Vienna Yearbook of Population Research explores demographic perspectives on human wellbeing across time and space. While the idea of relating demographic parameters to wellbeing has been around for a while, a more concrete research agenda on this topic has only recently gained momentum. Reviewing the research presented in this volume, we show how existing theoretical concepts and methodological tools in demography can be used to make substantial advances in the study of wellbeing. We also touch upon the many challenges researchers face in defining and measuring wellbeing, with the most important debate being about whether the focus should be on objective or subjective measures. The studies discussed here define wellbeing as health and mortality; as income, education or other resources; as happiness or life satisfaction; or as a combination thereof. They cover wellbeing in historical and contemporary populations in high- and low-income countries, and also point out important barriers to research on wellbeing, including the lack of good quality data in many regions. Finally, we highlight the value of considering population heterogeneities when studying wellbeing in order to identify population subgroups who are likely to fall behind, which can have important policy implications.
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Suh, Jooyeoun, Changa Dorji, Valerie Mercer-Blackman, and Aimee Hampel-Milagrosa. Valuing Unpaid Care Work in Bhutan. Asian Development Bank, November 2020. http://dx.doi.org/10.22617/wps200065-2.

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A growing body of scholarly literature has attempted to measure and value unpaid care work in various countries, but perhaps only the government statistical agencies in the United States and the United Kingdom have seriously undertaken periodic and systematic measures of the time spent on unpaid work at the national level, and partially incorporated those values into their gross domestic product(GDP). One country that has been ahead of its time on aspects of societal welfare measurement is Bhutan, which produces the Gross National Happiness (GNH) Index. However, until the first GNH Survey, in 2008, Bhutan did not have any sense of the size and distribution of unpaid work, despite its strong societal norms about the value of volunteering and community work. This paper is the first to estimate the value of unpaid care work in Bhutan. It shows the pros and cons of various approaches and their equivalent measures of unpaid care work as a share of GDP. As with similar studies on the topic, this paper also finds that women spend more than twice as much time as men performing unpaid care work, regardless of their income, age, residency, or number of people in the household. The paper also provides recommendations for improving the measurement of unpaid care work in Bhutan.
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