Relationship between Three Indices of Happiness

2010 ◽  
Vol 16 (1) ◽  
pp. 87-125 ◽  
Author(s):  
Sonali Bhattacharya
Keyword(s):  
Indices Of Happiness

Assistive Technology for Supporting Communication, Occupation, and Leisure by Children With Severe to Profound Developmental Disabilities

2019 ◽  
pp. 237-249
Author(s):  
Fabrizio Stasolla ◽  
Viviana Perilli ◽  
Adele Boccasini
Keyword(s):  
Developmental Disabilities ◽  
Assistive Technology ◽  
Behavioral Interventions ◽  
Multiple Disabilities ◽  
Adaptive Responses ◽  
Motor Impairments ◽  
General Picture ◽  
Indices Of Happiness ◽  
Literacy Process ◽  
Cognitive Behavioral Interventions

This chapter provides a literature overview (i.e., range period 2000-2015) concerning the use assistive technology (AT) for children with severe to profound developmental disabilities. Specifically, the chapter presents a general picture concerning the use of electronic tools such as microswitches enabling individuals with multiple disabilities to access independently to preferred stimuli. The chapter focused on the opportunities of choice, literacy process, communication of their own needs, promoting adaptive responses and reducing challenge behaviors, fostering ambulation and/or locomotion fluency, cognitive-behavioral interventions for people estimated within the normal range of intellectual functioning who present pervasive motor impairments. Moreover, the effects of such programs on indices of happiness as outcome measure of participants involved are outlined as well as social validation assessments. Results and implications of the findings are discussed.

MEASURING SUBJECTIVE WELL-BEING BASED ON SOCIAL MEDIA TEXTS. OVERVIEW OF MODERN PRACTICES

2020 ◽  
pp. 92-101
Author(s):  
Anna V. Kuchenkova ◽  
Keyword(s):  
Social Media ◽  
Information Search ◽  
Electronic Device ◽  
Well Being ◽  
Subjective Well Being ◽  
Self Presentation ◽  
The Social ◽  
Indices Of Happiness ◽  
Network Profile ◽  
Media Texts

Along with numerous studies of subjective well-being through sociological methods (first of all, surveys), attempts are being made to use Big Data, “digital footprints” (social media texts, social network profile information, search query statistics, personal electronic device data) as an additional source of information. Based on a review of foreign literature, the author reveals major practices of the social media texts analysis to measure subjective well-being. Including the experience of constructing the Gross National Happiness index for Facebook and the Hedonometer for Twitter based on the analysis of emotive vocabulary and the tone of publications of network users. Possibilities of searching for “digital traces” of life satisfaction in the social media texts are revealed. Methodological difficulties and limitations in that area of research, which have not yet been overcome, are highlighted: the issue of the obtained conclusions generalization and the validity of the constructed indices of “happiness” in their correlation with the “real” subjective well-being measured through surveys. Difficulties in measuring subjective well-being are associated with the effects of self-presentation in social media, varying degrees and strategies of users’ publication activity, imperfection of the analysis algorithms that are still inferior to “manual coding”.

Situational Assessment of Task Preferences among Adults with Multiple Severe Disabilities in Supported Work

2001 ◽  
Vol 26 (1) ◽  
pp. 50-55 ◽  
Author(s):  
Marsha B. Parsons ◽  
Dennis H. Reid ◽  
Carolyn W. Green
Keyword(s):  
Severe Disabilities ◽  
Assessment Process ◽  
Research Attention ◽  
Job Tasks ◽  
Work Related ◽  
Work Tasks ◽  
Indices Of Happiness ◽  
Communication Challenges ◽  
Situational Assessment ◽  
Supported Work

Identifying work related preferences is an important aspect of supporting people with disabilities in community based jobs. However, how to accurately determine preferences among supported workers who have multiple severe disabilities and highly significant communication challenges has received little research attention. We evaluated the use of a situational assessment for identifying work task preferences among three individuals with multiple severe disabilities. Two participants worked on a yard maintenance crew and one was assigned to cleaning offices. The assessment involved systematically observing indices of happiness and unhappiness while the participants worked on different tasks. The observations revealed distinct differences regarding the tasks that the workers liked and disliked. The validity of the identified preferences was supported through observations, which indicated that work engagement of the workers was most frequent when they worked on their most preferred task and least frequent when they worked on their least preferred task. Overall, these results offer support for use of the situational assessment to identify preferred work tasks for adults with multiple severe disabilities. Results are discussed in terms of evaluating the assessment process with other aspects of work placements beyond specific job tasks to further enhance the likelihood that supported workers will work in job situations in accordance with their work preferences.

Effects of Microswitch-Based Programs on Indices of Happiness of Students With Multiple Disabilities: A New Research Evaluation

2007 ◽  
Vol 112 (3) ◽  
pp. 167 ◽  
Author(s):  
Giulio E. Lancioni ◽  
Nirbhay N. Singh ◽  
Mark F. O'Reilly ◽  
Jeff Sigafoos ◽  
Robert Didden ◽  
...  
Keyword(s):  
Research Evaluation ◽  
Multiple Disabilities ◽  
Indices Of Happiness ◽  
New Research

Stimulation and microswitch-based programs for enhancing indices of happiness: a maintenance assessment

2003 ◽  
Vol 18 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Giulio E. Lancioni ◽  
Mark F. O'Reilly ◽  
Nirbhay N. Singh ◽  
Doretta Oliva ◽  
Francesca Campodonico ◽  
...  
Keyword(s):  
Indices Of Happiness

Biased, Therefore Unhappy: Disentangling the Collectivism-Happiness Relationship Globally

2018 ◽  
Vol 49 (8) ◽  
pp. 1227-1246 ◽  
Author(s):  
Dorota Jasielska ◽  
Maciej Stolarski ◽  
Michał Bilewicz
Keyword(s):  
Ingroup Bias ◽  
Personal Goals ◽  
Social Conflicts ◽  
Social Psychological ◽  
Unit Of Analysis ◽  
Country Level ◽  
Indices Of Happiness ◽  
Level Design ◽  
Collectivist Cultures ◽  
Ingroup Favoritism

A relationship between individualism and happiness has been observed in many studies, with collectivist cultures having lower indices of happiness. It is often argued that this effect arises because people in individualist countries have greater independence and more freedom to pursue personal goals. It appears, however, that the association is much more complex than this as many collectivist countries suffer from more basic problems, such as social conflicts, discrimination, and prejudice. We hypothesized that global differences in happiness could be the result of ingroup bias and its consequences, rather than of collectivism itself. To test our hypotheses, we applied a country-level design, where a country is considered a unit of analysis. We found that individualism predicted various aspects of a country’s aggregated level of happiness, but was only a marginal predictor of happiness when ingroup favoritism and group-focused enmity were controlled for. We discuss the implications of these findings from evolutionary and social psychological perspectives.

Assessing the effects of stimulation versus microswitch-based programmes on indices of happiness of students with multiple disabilities

2006 ◽  
Vol 50 (10) ◽  
pp. 739-747 ◽  
Author(s):  
G. E. Lancioni ◽  
N. N. Singh ◽  
M. F. O'Reilly ◽  
D. Oliva ◽  
A. Smaldone ◽  
...  
Keyword(s):  
Multiple Disabilities ◽  
Indices Of Happiness
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