Young person’s well-being: Exploring material, subjective and relational factors

2019 ◽  
Vol 44 (01) ◽  
pp. 13-22 ◽  
Author(s):  
Margot Rawsthorne ◽  
Grace Kinsela ◽  
Karen Paxton ◽  
Georgina Luscombe
Keyword(s):  
New South ◽  
Well Being ◽  
Self Report ◽  
Policy Makers ◽  
Research Attention ◽  
South Wales ◽  
Relational Factors ◽  
Report Data ◽  
Self Report Data ◽  
Definition Of

AbstractYoung people’s well-being has attracted significant policy and research attention in Australia and internationally for at least three decades. Despite this, there is no consensus about what it means, how it can be measured or, most importantly, what supports young people’s well-being. This paper adopts a definition of well-being as a multidimensional process, comprising subjective, material and relational factors. Drawing on self-report data collected at two time points from young people (aged 9–14 years) living in rural and regional New South Wales (N= 342 at baseline andN= 217 Wave 2), this paper seeks to identify the salience of these factors to well-being, measured through Perceived Self-Efficacy. Our analysis suggests that a sense of belonging, safety and the presence of supportive adults all appear to support enhanced well-being. The paper concludes with recommendations for policy makers and communities wishing to better support the development of young people’s well-being.

scholarly journals Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages

2020 ◽  
Author(s):  
Laura Boeschoten ◽  
Irene Ingeborg van Driel ◽  
Daniel L. Oberski ◽  
J. Loes Pouwels
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Well Being ◽  
Self Report ◽  
Interdisciplinary Project ◽  
Self Reports ◽  
Social Media Platforms ◽  
Report Data ◽  
Social Scientific ◽  
Self Report Data

Since the introduction of social media platforms, researchers have investigated how the use of such media affects adolescents’ well-being. Thus far, findings have been inconsistent. The aim of our interdisciplinary project is to provide a more thorough understanding of these inconsistencies by investigating who benefits from social media use, who does not and why it is beneficial for one yet harmful for another. In this presentation, we explain our approach to combining social scientific self-report data with the use of deep learning to analyze personal Instagram archives.

scholarly journals Predicting Self-Reported Illness for Professional Team-Sport Athletes

2016 ◽  
Vol 11 (4) ◽  
pp. 543-550 ◽  
Author(s):  
Heidi R. Thornton ◽  
Jace A. Delaney ◽  
Grant M. Duthie ◽  
Brendan R. Scott ◽  
William J. Chivers ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Well Being ◽  
Team Sport ◽  
Rugby League ◽  
Rating Of Perceived Exertion ◽  
Self Report ◽  
Contributing Factors ◽  
Increased Risk ◽  
Report Data ◽  
Self Report Data

Purpose:To identify contributing factors to the incidence of illness for professional team-sport athletes, using training load (TL), self-reported illness, and well-being data.Methods:Thirty-two professional rugby league players (26.0 ± 4.8 y, 99.1 ± 9.6 kg, 1.84 ± 0.06 m) were recruited from the same club. Players participated in prescribed training and responded to a series of questionnaires to determine the presence of self-reported illness and markers of well-being. Internal TL was determined using the session rating of perceived exertion. These data were collected over 29 wk, across the preparatory and competition macrocycles.Results:The predictive models developed recognized increases in internal TL (strain values of >2282 AU, weekly TL >2786 AU, and monotony >0.78 AU) to best predict when athletes are at increased risk of self-reported illness. In addition, a reduction in overall well-being (<7.25 AU) in the presence of increased internal TL, as previously stated, was highlighted as a contributor to self-reported-illness occurrence.Conclusions:These results indicate that self-report data can be successfully used to provide a novel understanding of the interactions between competition-associated stressors experienced by professional team-sport athletes and their susceptibility to illness. This may help coaching staff more effectively monitor players during the season and potentially implement preventive measures to reduce the likelihood of illnesses occurring.

scholarly journals Career salience and work outcomes: A comparison of managerial and clerical employees

1997 ◽  
Vol 23 (1) ◽  
Author(s):  
G. J. Lock ◽  
K. Ortlepp
Keyword(s):  
Job Satisfaction ◽  
Well Being ◽  
Self Report ◽  
Work Outcomes ◽  
Hierarchical Level ◽  
Organisational Commitment ◽  
Psychological Well Being ◽  
Report Data ◽  
Self Report Data ◽  
Career Salience

The present research aimed to assess the relationships between career salience and job satisfaction, organisational commitment, and psychological well-being. In addition, the variations within these relationships between management and clerical employees were explored. Self report data was collected from 86 accounting employees at the headoffice of a large retail company in Johannesburg. Pearson product-moment correlations, t-tests and z-transformations were computed. The results indicated that there is a significant positive relationship between career salience and both job satisfaction and organisational commitment. These results were found to differ according to hierarchical level. The variable psychological well-being only yielded significant associations with career salience for the managerial group. Opsomming Die navorsing neem die verband tussen loopbaanmarkantheid en werksbevrediging, toewyding aan die organisasie, en psigologiese welstand in oënskou. Verskille in hierdie verhoudings tussen bestuur en klerklike personeel word vervolgens ondersoek. Selfrapporteringsdata is ingesamel van 86 boekhouers by die hoofkantoor van 'n vooraanstaande kleinhandelaar in Johannesburg. Pearson produk-moment korrelasies, t-toetse en z-transformasies is bereken. Die resultate het aangedui dat daar 'n beduidende positiewe verband is tussen loopbaanmarkantheid, aan die een kant, en sowel werksbevrediging as toewyding aan die organisasie aan die ander kant. Daar is verder gevind dat resultaat bemvloed word deur die hierargiese vlak waarop mense werk. Psigologiese welstand het byvoorbeeld net in die geval van bestuurders 'n beduidende korrelasie met loopbaanmarkantheid getoon.

Correlates of psychological well-being at midlife: The role of generativity, agency and communion, and narrative themes

2002 ◽  
Vol 26 (2) ◽  
pp. 120-127 ◽  
Author(s):  
Miriam F. Grossbaum ◽  
Glen W. Bates
Keyword(s):  
Life Satisfaction ◽  
Personal Growth ◽  
Well Being ◽  
Self Report ◽  
Hierarchical Regression ◽  
Multiple Regressions ◽  
Agency And Communion ◽  
Report Data ◽  
Self Report Data ◽  
Midlife Adults

This study examined the correlates of well-being at midlife in 49 midlife adults. Self-report measures of generativity, agency and communion, along with relevant themes taken from narratives were considered as predictors of Ryff’s multidimensional model of well-being and of life satisfaction. Multiple regressions identified generative concern as a predictor of the six well-being dimensions and of life satisfaction. A separate series of multiple regressions identified narrative themes of contamination, redemption, and affect tone as predictors of four of the well-being dimensions and of life satisfaction. Hierarchical regression analyses controlling for self-report measures showed contamination to be a significant predictor of environmental mastery, personal growth, and life satisfaction. Affect tone was a predictor of self-acceptance and life satisfaction. This pattern of results was not influenced by the inclusion of demographic factors. Overall, the findings indicate the utility of combining narrative data with self-report data in investigating well-being at midlife.

scholarly journals Coping Following Traumatic Brain Injury:The Need for Contextually Sensitive Assessment

2001 ◽  
Vol 2 (2) ◽  
pp. 81-96 ◽  
Author(s):  
Elizabeth Kendall ◽  
David Shum ◽  
Brenda Lack ◽  
Susan Bull ◽  
Cameron Fee
Keyword(s):  
Coping Strategies ◽  
Psychosocial Adjustment ◽  
Well Being ◽  
Self Report ◽  
Adjustment Problems ◽  
Major Barrier ◽  
Report Data ◽  
Self Report Data ◽  
Test Current ◽  
Over Time

AbstractPsychosocial adjustment problems following traumatic brain injury (TBI) frequently present a major barrier for rehabilitation. The ability to cope has been linked with psychological well-being following stressful and traumatic events, but has been poorly examined in the area of TBI. In terms of conceptualisation, most coping research has adopted the Lazarus and Folkman (1984) dichotomy of coping, namely problem-focused and emotion-focused. Despite the popularity of this theory, recent conceptualisations of coping have suggested that other dimensions are equally important and require investigation in the TBI area. However, measurement of coping continues to provide a major barrier for research in this area, particularly given the potential difficulties associated with self-report data in people with TBI. The current study used a contextually sensitive assessment technique to test current conceptualisations of coping in the TBI population. Specifically, the study examined coping strategies and styles in response to four stressful video-based scenarios. Rather than using a self-report questionnaire to assess predetermined coping strategies, participants spontaneously provided their own coping strategies, which were then coded into distinct coping strategies. The strategies were categorised into four groups according to their focus (emotion or problem) and approach (active or passive). Both the number and type of coping strategies differed across situations, providing support for the use of a contextually sensitive measurement technique. Further, the theoretically expected pattern of relationships was found between coping types and outcomes. However, these relationships differed across situations and over time, confirming suggestions that coping efficacy may differ depending on the demands of the situation and that chronic situations such as TBI may have an impact on coping style over time.

Integrating a Performance-Based Observation Measure of Functional Status into a Population-Based Longitudinal Study of Aging

2003 ◽  
Vol 22 (2) ◽  
pp. 185-195 ◽  
Author(s):  
Marcia Finlayson ◽  
Betty Havens ◽  
Margo B. Holm ◽  
Toni Van Denend
Keyword(s):  
Longitudinal Study ◽  
Functional Status ◽  
Population Based ◽  
Performance Measure ◽  
The Self ◽  
Self Report ◽  
Policy Makers ◽  
The Past ◽  
Report Data ◽  
Self Report Data

ABSTRACTOver the past 15 to 20 years there has been discussion and debate in the gerontological literature about the relative merits of self-report versus performance-based observational (PBO) measures of functional status. In 2001 the Aging in Manitoba Longitudinal Study had the opportunity to add a PBO measure of functional status and use it together with two self-report measures on a sub-sample of 138 participants. The PBO measure that was used was the Performance Assessment of Self-Care Skills, Version 3.1 (Home). Using ranks of the proportion of participants who were independent in nine different tasks, no significant correlations were found between the performance measure scores and either of the self-report measures. This finding suggests that using self-report data rather than performance data could lead program developers and policy makers to different conclusions about the extent of need for assistance among older adults.

scholarly journals Examining changes in medical students’ emotion regulation in an online PBL session

2019 ◽  
pp. 129-157
Keyword(s):  
Emotion Regulation ◽  
Medical Students ◽  
Well Being ◽  
Self Report ◽  
Learning Session ◽  
Holistic View ◽  
Report Data ◽  
Self Report Data ◽  
Adaptive Responding ◽  
Detection Mechanisms

Given recent attention to emotion regulation (ER) as an important factor in personal well-being and effective social communication, there is a need for detection mechanisms that accurately capture ER and facilitate adaptive responding (Calvo & D’Mello, 2010). Current approaches to determining ER are mainly limited to self-report data such as questionnaires, inventories and interviews (e.g., Davis, Griffith, Thiel, & Connelly, 2015). Although beneficial, these self-report approaches have important shortcomings such as social desirability biases, recall issues, and inability to capture unconscious ER (Scherer, 2005). The research presented here explores this gap by examining the use of multimodal observational data as well as self-report data to more accurately capture ER. Specifically, this study develops and employs a multimodal analysis of emotion data channels (facial, vocal and postural emotion data channels) to provide a rich analysis of ER in an international case study of four medical students interacting in an emotionally challenging learning session (i.e., communicating bad news to patients) in a technology-rich learning environment. The findings reported in the paper can provide insights for educators in designing programs to enhance and evaluate ER strategies of students in order to regulate personal emotions as well as the emotional needs of others in stressful situations. This work also makes important contributions to the design of technology-rich environments to embed dynamic ER detection mechanisms that enable systems to gain a more holistic view of the participants, and to adapt instructions based on their affective needs.

Smartphone tilt as a measure of well-being? Evidence from two experience sampling studies (Preprint)

2021 ◽  
Author(s):  
Tim Kuhlmann ◽  
Ulf-Dietrich Reips
Keyword(s):  
Experience Sampling ◽  
Well Being ◽  
Self Report ◽  
Sensor Data ◽  
Subjective Well Being ◽  
Sampling Studies ◽  
In The Wild ◽  
Report Data ◽  
Self Report Data ◽  
Smartphone Sensor

BACKGROUND Smartphone usage is increasing around the globe. Smartphones offer considerable opportunities to researchers implementing experience sampling designs. Besides convenient gathering of self-report data, the availability of objective sensor data promises advantages for data collection. OBJECTIVE Previous research has shown the relation between body posture and well-being as well as an association between smartphone sensor data and posture. We investigated the association of the smartphone’s objective tilt measure with self-reported well-being in the field. METHODS Two experience sampling studies with 98 and 261 participants were conducted. They included self-reported measures of well-being and objective sensor gathered at the same points in time. The sample included Android and iOS smartphones. RESULTS Results of Study 1 show a within-person association between deviation from the usual tilt and well-being, t(3392)=-3.9, p<.001, d=.13. In Study 2 this association was only shown for Android users, t(3389)=-2.20, p=.03, d=.08, but not for iOS users. Comparison of the groups did reveal differences in the distribution of the sensor measured tilt. CONCLUSIONS An association between subjective well-being and smartphone sensor data was shown, but not consistently across devices and studies. Possible explanations for the differing results by smartphone platform include heterogeneity of the hardware implemented and differences in the software sensor values. Advice on precautions to consider when implementing app studies on differing devices and platforms in the wild are given. Implications for future studies, including objective validation of sensor data, are also discussed.

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Articles Published in EJPA 2009–2010

2011 ◽  
Vol 27 (4) ◽  
pp. 290-298 ◽  
Author(s):  
Tuulia M. Ortner ◽  
Isabella Vormittag
Keyword(s):  
Psychological Assessment ◽  
Rating Scales ◽  
Self Report ◽  
Related Field ◽  
Broad Scope ◽  
Future Challenges ◽  
Health Related ◽  
Report Data ◽  
Self Report Data

With reference to EJPA’s unique and broad scope, the current study analyzed the characteristics of the authors as well as the topics and research aims of the 69 empirical articles published in the years 2009–2010. Results revealed that more than one third of the articles were written by authors affiliated with more than one country. With reference to their research aims, an almost comparable number of articles (1) presented a new measure, (2) dealt with adaptations of measures, or (3) dealt with further research on existing measures. Analyses also revealed that most articles did not address any particular field of application. The second largest group was comprised of articles related to the clinical field, followed by the health-related field of application. The majority of all articles put their focus on investigating questionnaires or rating scales, and only a small number of articles investigated procedures classified as tests or properties of interviews. As to further characteristics of the method(s) used, a majority of EJPA contributions addressed self-report data. Results are discussed with reference to publication demands as well as the current and future challenges and demands of psychological assessment.

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