Strengths Use as a Predictor of Well-Being and Health-Related Quality of Life

There is a growing body of research devoted to the examination of character strengths as conceptualized by Values-In-Action (VIA) strengths classification system. However, there remains a dearth of research examining generic strengths use and its relationship with well-being, health-related quality of life (HRQOL), and VIA character strengths. In this crosssectional study, 135 undergraduate university students completed measures of strengths use, subjective well-being (SWB), self-esteem, self-efficacy, and HRQOL, and endorsed five top VIA strengths. Results revealed strengths use is a unique predictor of SWB, but not HRQOL. The VIA strengths of hope and zest were significant positive predictors of life satisfaction. The most commonly-endorsed VIA strengths were: love, humor, kindness, social intelligence, and open-mindedness. The least-endorsed VIA strengths were: leadership, perseverance, wisdom, spirituality, and self-control. Overall, results suggest an important link between generic strengths use and specific VIA strengths and their impact on SWB.     

VALUE ASSESSMENT AND EVERYDAY ACTIVITIES

Values, as guides to action, should be related to an individual's intentional behavior. A new technique, the Value Implications of Activities (VIA), is described. This technique asks respondents to make a value selection based on an examination of personal activities. Two studies were conducted that provided preliminary evidence for the psychometric adequacy of the VIA technique. In the first study, temporal reliability over five weeks was found to be moderately high. In the second study, age differences in the use of values to account for activities were similar to some earlier findings in other inquiries.     

Refining our understanding of the VIA Classification: Reflections on papers by Han,Miller, and Snow

ABSTRACT

Han, Miller, and Snow have written three thoughtful critiques of the VIA Classification of Strengths and Virtues. In this response, I emphasize five points. First, I suggest the concept of practical wisdom may be understood in terms of three VIA strengths: prudence, judgment, and perspective. Second, recognizing that the VIA Classification is a structural model of individual traits, rather than a moral theory, can address some concerns about the model, including its failure to account for the unity of the virtues. Third, I review a three-virtue model that has emerged in recent research on the VIA strengths may provide essential elements for a taxonomy of virtue. Fourth, I raise several issues associated with the application of the VIA Classification to moral education. Finally, though the model demonstrates substantial generalizabilty across Westernized populations, research in traditional indigenous cultures remains insufficient. I conclude with a series of questions for future research.     

The VIA inventory of strengths,positive youth development,and moral education

ABSTRACT

The VIA Inventory of Strengths and the VIA model were originally developed to assess and study 24 character strengths. In this paper, I discuss how the VIA Inventory and its character strength model can be applied to the field of moral education with moral philosophical considerations. First, I review previous factor analysis studies that have consistently reported factors containing candidates for moral virtues, and discuss the systematic structure and organization of VIA character strengths. Second, I discuss several issues related to the VIA model, including a lack of previous studies that directly support the moral justifiability of the model and the presence of a fundamental virtue component required for optimal moral functioning in virtue ethics, phronesis, practical wisdom, in the model. Finally, I propose future directions for research on the VIA model in order to address the aforementioned issues and facilitate the application of the model in moral education.     

Putting virtues in context: engaging the VIA classification of character strengths in caregiving for orphans and vulnerable children across cultures

ABSTRACT

The VIA Classification of Character Strengths has broken important ground for measuring character strengths across cultures. Because the VIA Classification is a closed system of abstract strengths, however, it is unknown how end-users engage strengths in particular cultural and practical contexts, define strengths for themselves, or identify additional strengths. In this study, residential care directors (n = 18) and other caregivers (n = 64) for orphans and vulnerable children (OVCs) in five distinct global locations prioritized with a card-sort the VIA Character Strengths most important for the work of caregiving, defined these strengths, and proposed additional strengths. Supervisors were then asked how caregivers embodied their prioritized strengths. Participants most frequently prioritized Love, Honesty, Forgiveness, and Kindness as important for caregiving; demonstrated high concordance but also some deviation from the definitions of the VIA Classification; and proposed additional strengths (e.g. Caring, Self-drive, and Initiative) that were perceived not to overlap with existing VIA Character Strengths.     

Millisecond timing on the Apple Macintosh: Updating Drexel’s MilliTimer

In 1986, we published inBehavior Research Methods, Instruments, & Computers a small library of assembler code for the public domain that permitted accurate millisecond timing for Apple’s Macintosh computer. That version of MilliTimer used the Versatile Interface Adapter chip’s Timer 1 (VIA T1), which is part of the standard Macintosh hardware configuration. The VIA T1, however, is also used by the Sound Manager, and thus the use of sound and accurate millisecond timing were incompatible. We offer for the public domain a new version labeled MilliTimer 2.2, which permits psychologists and other researchers to use the full capabilities of the Macintosh. MilliTimer 2.2 is compatible with popular teaching, research, and clinical tools such as Hyper-Card and MacLaboratory. MilliTimer 2.2 employs the Macintosh Time Manager, which is a part of the Macintosh operating system and is supported by Apple for the 512KE, Plus, SE, and Macintosh II machines. MilliTimer 2.2 is hardware-independent and automatically self-corrects for other operating system activities that also use the Time Manager. The self-correcting function is limited, however, and can result in a nonaccumulating error averaging about ?3 msec. To preserve compatibility with earlier machines that do not contain the Time Manager, a simple mode parameter allows MilliTimer 2.2 to use the older, more accurate timing method.     

Algorithm Versus Cut-Point Derived PTSD in Ex-Prisoners of War

This study compared symptom-based algorithm to cut-point scoring of the PTSD Checklist (PCL) in a sample of 504 World War II ex-prisoners of war not seeking treatment. There was relatively high correspondence ( = .80) between the scoring methods; the algorithm identified more participants as having PTSD than the standard cut-point of 50. Receiver Operator Curve analyses revealed that a cut-point of 42 distinguished optimally between the algorithm-defined PTSD and non-PTSD groups. An optimal scoring method might use both cut-point and algorithm, ensuring individuals have the symptoms necessary for a diagnosis and of sufficient severity.     

Qualitative analysis of verbal fluency output: review and comparison of several scoring methods

We compared three approaches to scoring qualitative aspects of verbal fluency performance in 88 healthy young adults. Phonemic and semantic fluency output was scored for word clustering and switching between clusters. Convergent validity analyses using other tests presumed to tap into strategy use (California Verbal Learning Test, Ruff Figural Fluency Test) support scoring of phonemic and semantic clusters on both fluency tasks. Task-discrepant clustering (e.g., semantic clustering on phonemic fluency) may index intentional strategy use on both fluency tasks, whereas task consistent clustering (e.g., phonemic clustering on phonemic fluency) appears strategic only on semantic fluency. Switching can be decomposed into subtypes that appear to reflect different cognitive processes on phonemic versus semantic fluency. Principal components analyses suggest that earlier scoring methods do not fully capture the "process" aspects of verbal fluency performance.     

Multiple-answer multiple-choice test items: Responding and scoring through bayes and minimax strategies

A multiple-answer multiple-choice test item has a certain number of alternatives,any number of which might be keyed. The examinee is also allowed to mark any number of alternatives. This increased flexibility over the one keyed alternative case is useful in practice but raises questions about appropriate scoring rules. In this article a certain class of item scoring rules called thebinary class is considered. The concepts ofstandard scoring rules and equivalence among these scoring rules are introduced in the misinformation model for which the traditional knowledge model is a special case. The examinee's strategy with respect to a scoring rule is examined. The critical role of a quantity called the scoring ratio is emphasized. In the case of examinee uncertainty about the number of correct alternatives on an item, a Bayes and a minimax strategy for the examinee are developed. Also an appropriate response for the examiner to the minimax strategy is outlined.Research partially supported under Grants N00014-67-A-0314-0022 from the Office of Naval Research and GS-32514 and MPS 75-07539 from the National Science Foundation.     

Scarecrow,Tin Woodsman,and Cowardly Lion: The three-factor model of virtue

Recent research has identified three virtues from the 24 strengths in the VIA Classification of Strengths and Virtues, labeled caring, inquisitiveness, and self-control. This article explored this model further. Study 1 demonstrated substantial congruence in three-factor loadings across 12 samples (total N = 1,082,230) despite substantial differences in methodology. Study 2 (N = 1719) provided support for the use of aggregate scores for the three virtues. Study 3 (N = 498) demonstrated substantial overlap between measures of personality and the virtues. We conclude these three are potentially essential components of a theory of virtue. They cannot be considered a sufficient model, which may be unattainable. We also note that treating virtue as an individual difference concept neglects key elements of our understanding of virtue as a social construct, and these more amorphous elements must be considered in developing an optimal model of virtue.     

The Influence of Rater Effects in Training Sets on the Psychometric Quality of Automated Scoring for Writing Assessments

Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be “trained” using machine-learning techniques that incorporate human ratings. However, the quality of the human ratings used to train the AESEs is rarely examined. As a result, the impact of various rater effects (e.g., severity and centrality) on the quality of AESE-assigned scores is not known. In this study, we use data from a large-scale rater-mediated writing assessment to examine the impact of rater effects on the quality of AESE-assigned scores. Overall, the results suggest that if rater effects are present in the ratings used to train an AESE, the AESE scores may replicate these effects. Implications are discussed in terms of research and practice related to automated scoring.     

Scoring the Rorschach: a constructive critique of Exner's Comprehensive Rorschach System

John Exner's rationale for scoring the Rorschach and his decision to score "blend" responses by assigning equal weights are critically reviewed. The resultant exclusion of new responses made during the Inquiry of the Free Association responses is viewed as a major deficiency in the Comprehensive Rorschach System. A change to Klopfer's "Main-Additional" scoring method is recommended as a corrective.     

Concluding comments on androgyny: Some intimations of its mature development

Major problems and ideas raised by the articles in this special issue are discussed, with an emphasis upon their implications for the productive development of androgyny research. First, the various methods of scoring a given sex-role inventory differ in their definitions of androgyny and in their underlying models of the relationships among masculinity, femininity, and other variables. Accordingly, recommendations for the judicious use of scoring methods are made. Second, adjustment differences between androgynous and sex-typed individuals are discussed, and researchers are urged to determine the specific aspects of sex roles which may be dysfunctional in particular settings. Third, attention is drawn to new methodologies and new content areas for androgyny research. Finally, the implications of the historical and cultural location of this research area for its status as a scientific enterprise are discussed.     

Information processing speed deficits may be better correlated with the extent of white matter sclerotic lesions in multiple sclerosis than previously suspected

Despite frequent use of the Paced Auditory Serial Addition Test (PASAT; Gronwall, 1977) for examining information processing speed (IPS) deficits in multiple sclerosis (MS), prior literature on the relationship between PASAT performance and severity of brain disease has been contradictory. In the present study, we found that PASAT performance is moderately well correlated with the total area of sclerotic brain lesions in MS patients only if a modified scoring method (mean "dyad" score; Snyder et al., 1993), but not the standard scoring method, is applied. We conclude that the PASAT remains a useful measure of IPS in MS, if a flaw in the typical scoring technique for this test is corrected. In our sample of 41 MS patients, for every one point decrease in mean dyad score, total lesion area increased by 364.08 mm2 on average, after controlling for age, sex, and education. IPS deficits are more severe for patients with greater brain disease, due to increased disruption of the white matter pathways that likely support the parallel distributed processing of complex information by geographically distant brain regions.     

Automated Measurement of Mouse Freezing Behavior and its Use for Quantitative Trait Locus Analysis of Contextual Fear Conditioning in (BALB/cJ × C57BL/6J)F2 Mice

The most commonly measured mouse behavior in fear conditioning tests is freezing. A technical limitation, particularly for genetic studies, is the method of direct observation used for quantifying this response, with the potential for bias or inconsistencies. We report the use of a computerized method based on latency between photobeam interruption measures as a reliable scoring criterion in mice. The different computer measures obtained during contextual fear conditioning tests showed high correlations with hand-scored freezing; r values ranged from 0.87 to 0.94. Previously reported strain differences between C57BL/6J and DBA/2J in context-dependent fear conditioning were also detected by the computer-based system. In addition, the use of computer-scored freezing of 199 (BALB/cJ×C57BL/6J)F₂ mice enabled us to detect a suggestive gender-dependent chromosomal locus for contextual fear conditioning on distal chromosome 8 by QTL analysis. Automation of freeze scoring would significantly increase efficiency and reliability of this learning and memory test.     

Are there virtuous types? Finite mixture modeling of the VIA Inventory of Strengths

ABSTRACT

Philosophical and religious traditions often refer to ‘the virtuous person.’ This terminology usually carries with it the assumption that a class of individuals exists who have achieved a virtuous state. This study attempted to test that implication. The VIA Inventory of Strengths (VIA-IS) is intended as a comprehensive assessment of character strengths, which are conceptualized as markers of virtuous character. One prior study using taxometric methods found no evidence for the existence of such a category of individuals using VIA-IS scores. Subsequent literature has suggested the superiority of finite mixture modeling for identifying categorical structure. Latent profile analyses of 1–10 classes were conducted in a stratified sample of 10,000 adults. The results provided little evidence for class structure, and support thinking of virtue as something we must continuously pursue rather than a state that we achieve.     

Integrating psychological and cultural perspectives on virtue: The hierarchical structure of character strengths

The VIA Classification characterizes six culturally defined virtues as latent variables underlying 24 character strengths. Factor analyses of measures based on the Classification usually suggest 4–5 factors that do not correspond well to traditional lists of virtues. This article describes the identification of a three-virtue model across multiple measures of strengths in four samples encompassing 1,070,549 cases. The general pattern involved a first component representing good character that split into two components reflecting Goodness and Inquisitiveness. The former divided further into components reflecting Caring and Self-Control. This pattern recurred in all data sets. The model consisting of Caring, Inquisitiveness, and Self-Control is proposed as a reliable latent structure for the VIA Classification strengths, an intuitive classification of traditional cultural virtues, and a framework for social efforts encouraging the development of virtue.     

Scoring formulas and probability considerations

Bayes' theorem of inverse probability is made the basis of a general equation for scoring objective examinations. The equation so obtained is evaluated by assuming a binomial distribution of examinee knowledge and guessing tendency. A graphical illustration of the application of this equation to a hypothetical test situation is presented. The limitations inherent in the use of Bayes' theorem make it inadvisable to recommend the practical use of the equation unless future experimental evidence indicates an increase in scoring validity which more than compensates for the increase in scoring difficulty.     

Liking and response latency in teammate identification: processing delays below conscious awareness?

Success in fast-ball sports relies on many factors which interact at both movement and cognitive levels. Players must recognize their teammates and decide whether to pass the ball to create or take advantage of scoring affordances. Previous research has shown athletes can identify teammates from brief visual displays during fast-ball sports and this is related to the amount of time individuals train together. However, it is likely other factors also affect recognition and, consequently, decision making related to ball passing. The present study extended the Teammate Identification (TM-ID) paradigm to examine magnitude of liking of one's teammates in relation to response time components of TM-ID. An increase in movement time was found for identifying a swimmer who was the observer's "least liked" teammate, which suggests that processes below conscious awareness may influence the time taken for sport actions directed toward specific teammates, such as ball passing.     

Fitting a Thurstonian IRT model to forced-choice data using Mplus

To counter response distortions associated with the use of rating scales (a.k.a. Likert scales), items can be presented in a comparative fashion, so that respondents are asked to rank the items within blocks (forced-choice format). However, classical scoring procedures for these forced-choice designs lead to ipsative data, which presents psychometric challenges that are well described in the literature. Recently, Brown and Maydeu-Olivares (Educational and Psychological Measurement 71: 460–502, 2011a) introduced a model based on Thurstone’s law of comparative judgment, which overcomes the problems of ipsative data. Here, we provide a step-by-step tutorial for coding forced-choice responses, specifying a Thurstonian item response theory model that is appropriate for the design used, assessing the model’s fit, and scoring individuals on psychological attributes. Estimation and scoring is performed using Mplus, and a very straightforward Excel macro is provided that writes full Mplus input files for any forced-choice design. Armed with these tools, using a forced-choice design is now as easy as using ratings.