Distinguishing Hope from Optimism and Related Affective States

Bruininks, Patricia; Malle, Bertram F.

doi:10.1007/s11031-006-9010-4

Cited by 197 publications

(171 citation statements)

References 13 publications

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“…Additionally, they note that the agency items (for both trait and state versions) do not seem to be measuring perceived capacity for executing goals-related actions. Tong, et al (2010) note that their findings are consistent with past studies (e.g., Bruininks & Malle, 2005;Feldman, et al, 2009) that highlight agency is more reflective of cognitive expectations related to the feasibility of attaining a specified outcome and not necessarily the actual capacity to generate the means to pursue the goal. Tong, et al (2010) mention that agency type thinking represents more of what is thought of when individuals think of hope in general and as they put it into operation in their circumstances from both a cognitive and behavioral aspect.…”

Section: H-cap Scale Developmentsupporting

confidence: 81%

“…As noted, Snyder et al (1996) defines "hope as a cognitive set comprising agency (belief in one's capacity to initiate and sustain actions) and pathways (belief in one's capacity to generate routes) to reach goals. (p.321)" Multiple studies have questioned whether agency thinking combined with pathways thinking truly characterizes the average person's understanding of hope (Bruininks & Malle, 2005;Tong, et al, 2010). Similar to these studies, a recent study conducted by Tong, et al (2010) found via multiple cross-cultural studies that only Snyder's agency items (state and trait) were positively related to hope.…”

Section: H-cap Scale Developmentmentioning

confidence: 99%

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Development and Validation of the High Capacity Model of Resilience and Well-being Scale 21 (H-CAP 21)

Barclay¹,

Barclay²

2017

JPBS

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The research on resilience has been hampered from a lack of a specific definition that can operationalized for measurement. The High Capacity Model of Resilience and Well-Being (H-CAP21) is a new theoretical model that defines specific traits that create states of resilience and well-being for use as a screening tool in clinical and nonclinical settings. Norming was completed across two studies with a total population of 1442 participants comprised of a clinical population of inpatient psychiatric patients and a non-clinical population of adult midcareer graduate students. A four-factor model represented by a 21-item scale was confirmed as a best fit. Individual subscales yielded alpha's from .75-.92, convergent validity with the Resilience Scale and discriminatory validity with and Obsessive Passion subscale and the Beck Depression Inventory-II. Criterion-related validity exhibited a positive directional relationship between the subscales with the criterion (cumulative GPA) and significant correlations with the overall scale score and commitment subscale. However, the remaining subscales did not reach a level of significance with the criterion. Further exploration of the H-CAP 21 will expand the type and setting of the populations the instrument is assessed with to include clinical populations, military applications, self-regulation, and motivation. The H-CAP 21 is believed to have clinical utility as a psychometrically sound screening tool.

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Section: H-cap Scale Developmentsupporting

confidence: 81%

Section: H-cap Scale Developmentmentioning

confidence: 99%

Development and Validation of the High Capacity Model of Resilience and Well-being Scale 21 (H-CAP 21)

Barclay¹,

Barclay²

2017

JPBS

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“…90 Associations with other sociodemographic or lesion-related variables were statistically not significant. 85,86 Hope and optimism Hope and optimism conceptualized as positive orientation toward the future 91 were assessed in five cross-sectional and two longitudinal Psychological resources in SCI C Peter et al Psychological resources in SCI C Peter et al studies 30,92 (Table 5). Evidence appears fragmented and contradictory.…”

Section: Resultsmentioning

confidence: 99%

Psychological resources in spinal cord injury: a systematic literature review

et al. 2011

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Study design: Systematic literature review. Objectives: The purpose of this study was to gain a systematic overview of the role of psychological resources in the adjustment to spinal cord injury (SCI). Methods: A systematic literature review was performed. The literature search was conducted in the databases Pubmed, PsycINFO, the Social Sciences Citation Index, the Education Resources Information Center, Embase and the Citation Index of Nursing and Allied Health Literature. The assessed variables, measurement instruments, results and the methodological quality of the studies were extracted, summarized and evaluated. Results: A total of 83 mainly cross-sectional studies were identified. Psychological resources were categorized into seven groups: self-efficacy (SE), self-esteem, sense of coherence (SOC), spirituality, optimism, intellect and other personality characteristics. SE and self-esteem were consistently associated with positive adjustment indicators such as high well-being and better mental health. Interrelations between psychological resources and key rehabilitation outcome variables such as participation were rarely studied. Only a few interventions, which were aimed at strengthening psychological resources were identified. Longitudinal studies suggested that SE, SOC, spirituality and purpose in life were potential determinants of adjustment outcomes in the long term. Conclusion: Research on psychological resources in SCI is broad, but fragmented. Associations of psychological resources with mental health and well-being were frequently shown, while associations with participation were rarely studied. Further development of resource-based interventions to strengthen persons with SCI is indicated. This review can serve as guide for clinical practice and can add to the design of future SCI research.

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“…This way of thinking, which is directly reflected in behaviour, is supported in our model also by the subjective feeling of control (dimension of unrealistic optimism), which mirrors the assessment of one's own resources, capabilities and options. It remains unclear whether this construct corresponds to the real human experience, as discussed in relation to Bruininks & Malle (2005). In both Snyder's and our definition, the factor of Optimism/Pessimism is associated more with general ideas about our future.…”

Section: Discussionmentioning

confidence: 77%

“…The conceptual and psychological differentiation of optimism and hope based on commonly used connotations in the language was studied by Bruininks & Malle (2005). Based on qualitative coding of the respondent statements, the authors concluded that the intuitive understanding of optimism and hope does not correspond to theoretical constructs, but nonetheless aids in differentiating them.…”

Section: Introductionmentioning

confidence: 99%

Positive Expectations – Optimism and Hope in Models

Dosedlová

Jelínek²,

Klimusová³

et al. 2016

European Proceedings of Social &Amp; Behavioural Sciences

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Current approaches to optimism accentuate its many different aspects: dispositional optimism , defensive pessimism (Norem, & Cantor, 1989), unrealistic optimism (Weinstein, 1980 and hope (Snyder, 1994). The aims of the research (supported by GACR, no. 13-19808S) were to design a model of optimism/pessimism using the dimensions of dispositional optimism, defensive pessimism, unrealistic optimism and hope, and to determine the degree of conceptual overlap between optimism and hope. We collected data from 1,774 respondents (men 33.3%, women 66.7 %) at the age from 15 to 79 (m 33.5, SD 15.8, med 27). Following measures were used: the Defensive Pessimism Questionnaire (DPQ), the Life Orientation Test (LOT-R), Adult Dispositional Hope Scale (ADHS) and Unrealistic Optimism Scale. We created three models and evaluated them using confirmatory factor analysis. The first model was first order factor analysis model with correlated factors represented by individual measures. The second model implemented a second order factor of general optimism. The third model used two second order correlated factors -optimism and hope. We consider model three as the best suited both statistically and for interpretation. Our model corresponds to Snyder's concept (in Chang, 2002), who views his construct of hope more actively and specifically in comparison to optimism. Optimism focuses more broadly on the expected quality of future outcomes in general.

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Distinguishing Hope from Optimism and Related Affective States

Cited by 197 publications

References 13 publications

Development and Validation of the High Capacity Model of Resilience and Well-being Scale 21 (H-CAP 21)

Development and Validation of the High Capacity Model of Resilience and Well-being Scale 21 (H-CAP 21)

Psychological resources in spinal cord injury: a systematic literature review

Positive Expectations – Optimism and Hope in Models

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