Discriminant Construct Research Articles

Reliability and validity of the shortened Singapore versions of the Chedoke Arm and Hand Activity Inventory.

Upper limb deficits are common sequelae after a stroke and negatively affect daily living and quality of life. The use of outcome measures to evaluate upper limb function is essential to assess sensorimotor recovery and to determine the effectiveness of rehabilitation. The aim of this study was to estimate the construct validity and inter-rater reliability of three shortened versions of the Singapore version of the Chedoke Arm and Hand Activity Inventory (CAHAI-SG) comprising seven, eight, and nine test items. The sample consisted of 55 inpatients with acute/subacute stroke to whom the CAHAI-SG, Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and the Action Research Arm Test (ARAT) were administered. To estimate convergent and discriminative construct validity, Spearman's rank correlation coefficient and 95% confidence intervals were computed for CAHAI-SG scores with FMA-UE and ARAT scores. Reliability was estimated using intraclass correlation coefficient (relative reliability) and the standard error of measurement (absolute reliability). Convergent validity with the FMA-UE was 0.79, 0.80, and 0.81 for seven-item, eight-item, and nine-item versions of the CAHAI-SG, respectively, and 0.81 with the ARAT for all shortened versions. Discriminative validity with the FMA-UE pain subscale was between 0.37 and 0.38. The absolute reliability was 3.09, 3.65, and 3.98, and relative reliability was 0.96, 0.95, and 0.96 for the seven-item, eight-item, and nine-item versions, respectively. All shortened versions of the CAHAI-SG demonstrated similar psychometric properties to the full (13 item) version, meaning clinicians may use these shorter versions that require less time to administer and score.

Discriminative capacity and construct validity of the Clock Drawing Test in Mild Cognitive Impairment and Alzheimer’s disease

Objectives: The aim of this study was to analyze the psychometric and diagnostic properties of the Clock Drawing Test (CDT), scored according to the Babins, Rouleau, and Cahn scoring systems, for Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD) screening, and develop corresponding cutoff scores. Additionally, we assessed the construct validity of the CDT through exploratory and confirmatory factor analysis.Methods: We developed a cross-sectional study of ambulatory MCI and AD patients, divided in two clinical groups (450 MCI and 250 mild AD patients) and a normal control group (N = 400). All participants were assessed with the CDT, Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) for convergent validity.Results: The selected scoring systems presented adequate validity and reliability values. The proposed cutoff scores showed 60 to 65% sensitivity and 58 to 62% specificity to identify MCI patients. The corresponding values for AD were 84 to 90% sensitivity and 76 to 78% specificity. Exploratory and confirmatory factor analysis revealed that the Babins scoring system had good construct validity and allowed us to propose a three-factor model for this system.Conclusions: Our results confirmed the complexity of the CDT and support it as a cognitive screening instrument particularly sensitive to AD. The use of the CDT with MCI patients should be interpreted with more caution due to the lower sensitivity and specificity for milder forms of cognitive impairment.

Parent experiences of diabetes care questionnaire (PEQ-DC): reliability and validity following a national survey in Norway

BackgroundPatient experiences are acknowledged as an important aspect of health care quality but no validated instruments have been identified for the measurement of either parent or patient experiences with outpatient paediatric diabetes care. The aim of the current study was to assess the psychometric properties of a new instrument developed to measure parent experiences of paediatric diabetes care at hospital outpatient departments in Norway.MethodsThe development of the questionnaire was based on a literature review of existing questionnaires, qualitative interviews with both parents and children/adolescents, expert-group consultations, pretesting of the questionnaire and a pilot study. The national pilot study included parents of 2606 children/adolescents aged 0–17 years with Type 1 Diabetes registered in The Norwegian Childhood Diabetes Registry, a nationwide, population-based registry. Levels of missing data, ceiling effects, factor structure, internal consistency, item discriminant validity and construct validity were assessed.ResultsA total of 2606 patients were included in the survey, but 80 were excluded due to incorrect addresses. 1399 (55%) parents responded to the questionnaire. Low levels of missing or “not applicable” responses were found for 31 of the 35 items (< 10%), and 27 of 35 items were below the ceiling-effect criterion. Psychometric testing and theoretical considerations identified six scales: Consultation (six items), organisation (five items), equipment (three items), nurse contact (four items), doctor contact (four items) and outcome (five items). All six scales met the 0.7 criterion for Cronbach’s alpha (range: 0.71–0.90). As expected, each item had a higher correlation with its hypothesised scale than with any of the other five scales. The construct validity of the Parent Experiences of Diabetes Care Questionnaire (PEQ-DC) was supported by 17 out of 18 associations with variables expected to be related to parent experiences.ConclusionThe psychometric testing of the PEQ-DC showed good evidence for data quality, internal consistency and construct validity. The instrument includes important aspects of diabetes care at paediatric outpatient departments from the perspective of the parent. The content validity of the PEQ-DC was secured by a rigorous development process, and the instrument was tested following a national survey in Norway, securing generalisability across Norway.

Complexity-Based Discrepancy Measures Applied to Detection of Apnea-Hypopnea Events

In recent years, an increasing interest in the development of discriminative methods based on sparse representations with discrete dictionaries for signal classification has been observed. It is still unclear, however, what is the most appropriate way for introducing discriminative information into the sparse representation problem. It is also unknown which is the best discrepancy measure for classification purposes. In the context of feature selection problems, several complexity-based measures have been proposed. The main objective of this work is to explore a method that uses such measures for constructing discriminative subdictionaries for detecting apnea-hypopnea events using pulse oximetry signals. Besides traditional discrepancy measures, we study a simple one called Difference of Conditional Activation Frequency (DCAF). We additionally explore the combined effect of overcompleteness and redundancy of the dictionary as well as the sparsity level of the representation. Results show that complexity-based measures are capable of adequately pointing out discriminative atoms. Particularly, DCAF yields competitive averaged detection accuracy rates of 72.57% at low computational cost. Additionally, ROC curve analyses show averaged diagnostic sensitivity and specificity of 81.88% and 87.32%, respectively. This shows that discriminative subdictionary construction methods for sparse representations of pulse oximetry signals constitute a valuable tool for apnea-hypopnea screening.

Social-Emotional Expertise (SEE) Scale: Development and Initial Validation.

Social-emotional expertise (SEE) represents a synthesis of specific cognitive abilities related to social interactions, and emphasizes the timing and synchrony of behaviors that contribute to overall social-emotional ability. As a step toward SEE construct validation, we conducted three experiments to develop a self-report measure that captured key elements of our conceptualization of SEE. In Experiment 1, we generated and tested 76 items for a measure of SEE. The resultant 25-item scale is reliable, test-retest: r(80) = .82, p < .001, and internally consistent (Cronbach's α = .90). Experiments 2 and 3 examined the relationships between the SEE Scale and related constructs. Convergent constructs, such as emotional intelligence, r(885) = .62, p < .01, and social anxiety, r(885) = -.59, p < .01, and discriminant constructs, such as social desirability, r(885) = .19, p < .01, and self-monitoring, r(885) = .28, p < .01, were found to be related in the expected directions. Additionally, two factors were statistically identified: Adaptability and Expressivity. The items contributing to each factor describe the ability to successfully navigate social environments and the ability to successfully convey affect and ideas to other people, respectively. These factors correlate with related constructs in distinct and theoretically relevant ways.

Translation, Adaptation and Validation of Rapid Geriatric Assessment to the Brazilian context.

Translate, cross-culturally adapt and validate the Rapid Geriatric Assessment (RGA) for Brazilian community-dwelling adults. Cross-sectional study, using a quantitative approach. Urban population from the city of São Carlos, located in the interior of São Paulo State, Brazil. 148 individuals aged 60 or over. Participants were assessed using the RGA, Fried Frailty Phenotype, International Physical Activity Questionnaire - long version, Addenbrooke´s Cognitive Exam - Revised Version, Mini Nutritional Assessment, short Form - 36, EuroQol 5-Dimension, Geriatric Depression Scale - short version, in addition to performing Dual Energy X-ray Absorptiometry to diagnose sarcopenia, according to the criteria established by the European Working Group on Sarcopenia in Older People. In the translation and adaption process of the RGA, steps recommended by the literature were followed: initial translation, synthesis of translations, backward translation, evaluation from the panel of judges, and pre-test. When evaluating the psychometric properties of the scale, satisfactory reliability (internal consistency and stability) and validity (content, concurrent criterion and convergent, divergent and discriminant construct) were verified. The Brazilian version of the RGA is reliable and valid, and can be used in the Brazilian context to evaluate the elderly population.

Fashion attributes preferred by young Bangladeshi consumers while buying casual clothes

PurposeThe purpose of this paper is threefold: first, to identify a list of fashion attributes preferred by young Bangladeshi consumers while buying casual clothes; second, to test the applicability of Kano’s quality theory in the apparel industry; and, finally, to explore the differences in fashion priorities between male and female consumers.Design/methodology/approachThis study is based on primary data collected through a survey from 1,177 young consumers of urban Bangladesh. Structural equation modeling was used to develop the attribute index. Also, convergent and discriminant validity and construct reliability of the index were tested.FindingsThe study offers a four-dimensional 19-item index representing the desirable fashion attributes. This paper also confirms the applicability of Kano’s theory in the apparel industry. Results revealed that “well-designed casual attires” and “discount offers” are top-ranking attributes as perceived by both male and female consumers. However, there are differences in the preferences. Women prioritized irritation-free, durable and soft fabric, whereas men preferred attributes such as suitability of color and functionality in the workplace.Practical implicationsThe findings of the study provide clothing suppliers of Bangladesh with information that may be utilized while preparing their options. For instance, as casual clothes are frequently worn and washed, a quality fabric that looks good even after several washes is highly recommended. Dress manufacturers need to offer colorful attires to women, whereas for men, more color options should be available. Casual clothes should be made in a way that they are acceptable in the community and workplace.Originality/valueAs research on exploring desirable fashion qualities in developing markets (especially in South Asian region) is rare, this study is contributing to the literature by offering validated apparel attribute index.

Factor Analysis of a Novel Scoring-Based Instrument on Forecasting Malaysian Travelers’ Behavioral Preparedness for Travel-Related Infectious Diseases

Introduction: Preparedness for the prevention of travel-related infectious diseases among Malaysian international travelers has yet to be explored. With no such data, health programs to empower travelers on behavioral responses towards travel-related illnesses will be ineffective. The current study aimed to develop and validate a new scoring-based instrument measuring Malaysian international travelers’ preparedness in terms of their risk perception (RP), attitude, and practices (RisPAK-Q) towards travel-related infectious diseases using factor analysis. Methods: The newly developed instrument was tested among 200 Malaysian international travelers based on the systematic random sampling method. The number of domains, model-fit index, construct validity, and internal consistency for this instrument were determined using exploratory and confirmatory factor analysis (CFA). Results: Twenty-two out of 34 questions were retained, and the following 5 domains were extracted: RP, pre-travel attitude (PTA), during-travel attitude (DTA), general traveling practice, and food practice (FP). All 22 questions had factor loadings of above 0.6. All 5 domains achieved a stable model fit index with good convergent and discriminant construct validity of above 0.5 indicated by the average variance extracted (AVE) with all of the maximum shared variance (MSV) values below their corresponding AVEs. All domains also had high internal consistency with a composite reliability (CR) of above 0.7. Conclusion: The RisPAK-Q containing 22 questions in 5 domains is a valid and reliable instrument for measuring the preparedness of Malaysian travelers for travel-related infectious diseases and can be used in a subsequent larger study.

Screening for intellectual disabilities: a validation of the Hayes Ability Screening Index for in-patients with substance use disorder

Background: There is a reason to believe that many individuals with substance use disorder (SUD) in contact with services have an undiagnosed intellectual disability (ID). Assessing ID in persons with SUD can be challenging due to the influence of substances, time consumption, and specific requirements for the education of the assessor. On the other hand, an undiagnosed condition may lead to a lack of treatment adjustment and may result in drop-out from treatment or lack of treatment effect. There is a need for a time-saving, valid instrument to detect possible ID among people with SUD.Aims: To validate the Hayes Ability Screening Index (HASI) as a screening instrument for identifying ID in a population of in-patients with SUD using all three ICD-10/DSM5 criteria in classifying ID as the validation criterion.Methods: Eighty-four SUD in-patients aged 19–64 participated in this multicenter study. An ID was diagnosed according to the ICD-10 using WAIS-IV, Vineland II, and self-reported childhood learning difficulties.Results: HASI correlated well with both the WAIS-IV and Vineland II. At the recommended cut-off score, the HASI had a sensitivity of 100% and a specificity of 65.4%. A large number of the false positives had IQ or both IQ and adaptive scores in the borderline range.Conclusions: The HASI has good convergent, discriminant, and overall construct validity in detecting ID in in-patients with SUD.

Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling.

Facial landmark detection is typically cast as a point-wise regression problem that focuses on how to build an effective image-to-point mapping function. In this paper, we propose an end-to-end deep learning approach for contextually discriminative feature construction together with effective facial structure modeling. The proposed learning approach is able to predict more contextually discriminative facial landmarks by capturing their associated contextual information. Moreover, we present a tree model to characterize human face structure and a structural loss function to measure the deformation cost between the ground-truth and predicted tree model, which are further incorporated into the proposed learning approach and jointly optimized within a unified framework. The presented tree model is able to well characterize the spatial layout patterns of facial landmarks for capturing the facial structure information. Experimental results demonstrate the effectiveness of the proposed approach against the state-of-the-art over the MTFL and AFLW-full data sets.

Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking.

In the fields of computer vision and graphics, keypoint-based object tracking is a fundamental and challenging problem, which is typically formulated in a spatio-temporal context modeling framework. However, many existing keypoint trackers are incapable of effectively modeling and balancing the following three aspects in a simultaneous manner: temporal model coherence across frames, spatial model consistency within frames, and discriminative feature construction. To address this problem, we propose a robust keypoint tracker based on spatio-temporal multi-task structured output optimization driven by discriminative metric learning. Consequently, temporal model coherence is characterized by multi-task structured keypoint model learning over several adjacent frames; spatial model consistency is modeled by solving a geometric verification based structured learning problem; discriminative feature construction is enabled by metric learning to ensure the intra-class compactness and inter-class separability. To achieve the goal of effective object tracking, we jointly optimize the above three modules in a spatio-temporal multi-task learning scheme. Furthermore, we incorporate this joint learning scheme into both single-object and multi-object tracking scenarios, resulting in robust tracking results. Experiments over several challenging datasets have justified the effectiveness of our single-object and multi-object trackers against the state-of-the-art.

Interactive segmentation of texture image based on active contour model with local inverse difference moment feature

Texture image segmentation is a challenging problem in image processing field due to wide variability of characterizing textures and a lack of proper contour information. In this paper, an effective presentation is found with which different textures can be represented with some corresponding distributions generated by feature values of local inverse difference moment (LIDM). By the analysis of local statistical information in gray level co-occurrence matrix (GLCM), we found that similar textures can be characterized with similar distributions. In this way, an interactive segmentation method is presented to achieve the segmentation of texture image based on GLCM with an optimizing model. Our scheme can be narrated separately as follows, firstly, a proper Gaussian kernel is selected to discriminate two classes of textures by analyzing LIDM feature distributions, which are obtained from two different local regions marked manually in the initial texture image. Secondly, the LIDM feature map can be constructed by computing LIDM feature values of image patches with the proper Gaussian kernel, and the center of these image patches may traverse the whole image domain. Finally, the texture image segmentation is implemented based on an improved optimizing model with local binary fitting and local extremum regularizing. In order to validate the performance of our proposed method, two kinds of experiments about discriminative feature map construction and texture image segmentation are carried out to demonstrate its well performance, and more experiments on real texture images are also conducted.

Development and validation of PediaTrac™: A web-based tool to track developing infants

ObjectivePediaTrac™, a 363-item web-based tool to track infant development, administered in modules of ∼40-items per sampling period, newborn (NB), 2­-, 4­-, 6­-, 9­- and 12­-months was validated. Caregivers answered demographic, medical, and environmental questions, and questions covering the sensorimotor, feeding/eating, sleep, speech/language, cognition, social-emotional, and attachment domains. MethodsExpert Panel Reviews and Cognitive Interviews (CI) were conducted to validate the item bank. Classical Test Theory (CTT) and Item Response Theory (IRT) methods were employed to examine the dimensionality and psychometric properties of PediaTrac with pooled longitudinal and cross-sectional cohorts (N = 132). ResultsIntraclass correlation coefficients (ICC) for the Expert Panel Review revealed moderate agreement at 6 ­months and good reliability at other sampling periods. ICC estimates for CI revealed moderate reliability regarding clarity of the items at NB and 4 months, good reliability at 2-­, 9­- and 12­-months and excellent reliability at 6 ­months. CTT revealed good coefficient alpha estimates (α ≥ 0.77 for five of the six ages) for the Social-Emotional/Communication, Attachment (α ≥ 0.89 for all ages), and Sensorimotor (α ≥ 0.75 at 6-months) domains, revealing the need for better targeting of sensorimotor items. IRT modeling revealed good reliability (r = 0.85–0.95) for three distinct domains (Feeding/Eating, Social-Emotional/Communication and Attachment) and four subdomains (Feeding Breast/Formula, Feeding Solid Food, Social-Emotional Information Processing, Communication/Cognition). Convergent and discriminant construct validity were demonstrated between our IRT-modeled domains and constructs derived from existing developmental, behavioral and caregiver measures. Our Attachment domain was significantly correlated with existing measures at the NB and 2-month periods, while the Social-Emotional/Communication domain was highly correlated with similar constructs at the 6-, 9- and 12-month periods. ConclusionPediaTrac has potential for producing novel and effective estimates of infant development via the Sensorimotor, Feeding/Eating, Social-Emotional/Communication and Attachment domains.

The Italian Version of the Cognitive Style Indicator and its Association with Decision-Making Preferences

The Cognitive Style Indicator (CoSI) includes 3 cognitive dimensions: creating (flexible, open-ended and inventive), knowing (emphasizing facts, details, objectivity, and rationality), and planning (guided by preferences for certainty and well-structured information). The first aim of this research was to validate the 3-factor structure of the CoSI within the Italian context. The second was to verify whether cognitive styles, as measured by the CoSI, accounted for individual differences in decision-making processes. Two studies were conducted using 2 different samples (n = 549 and n = 397). Confirmatory and multigroup factor analysis corroborated the 3-factor model and the measurement invariance of the instrument across genders. Reliability indices showed good internal consistency, as well as good levels of convergent and discriminant construct validity. Results from structural equation model revealed that cognitive styles, as measured by the CoSI, predicted individual differences in intuitive and deliberative decision-making processes. Findings gave evidence for the validity of the Italian version of the CoSI and for the causal relationship between cognitive styles and decision-making processes. Further research is needed to explore a more comprehensive model that includes, for example, personality.

Representation Space-Based Discriminative Graph Construction for Semisupervised Hyperspectral Image Classification

Graph-based semisupervised learning methods have been successfully applied in hyperspectral image (HSI) classification with limited labeled samples. The critical step of graph-based methods is to learn a similarity graph, and numerous graph construction methods have been developed in recent years. However, existing approaches usually return a similarity matrix from the raw data space. In this letter, we propose a representation space-based discriminative graph for semisupervised HSI classification, which can learn the representations of samples and the similarity matrix of representations simultaneously. Moreover, we explicitly incorporate the probabilistic class relationship between sample and class, which can be estimated by the partial label information, into the above model to further boost the discriminability of graph. The experimental results on Hyperion and AVIRIS hyperspectral data demonstrate the effectiveness of the proposed approach.

Translating Overactive Bladder Questionnaires in Moroccan Arabic Dialect

Objective: linguistic validation in Moroccan Arabic dialect of overactive bladder questionnaires OAB-q, developed and validated initially in English. Materials and Methods: Questionnaire OAB-q Moroccan Arabic dialect version was obtained after a double translation (English-Arabic), a back translation (Arabic-English), a journal of translations by three experts, comprehension tests and cultural adaptation on a sample of 10 patients with overactive bladder syndrome. Results: The OAB-q in two parts. The first eight items had assessed the discomfort associated with symptoms of overactive bladder (urinary frequency day and night, urgency and urge incontinence). The second included 25 items and measured the impact on quality of life (coping behavior, embarrassment, sleep, social interactions). The conceptual and cultural adaptation was performed on a sample of 10 patients (5 with multiple sclerosis, 5 spinal cord injuries), the average age is 42, 4 /﹣7.6, the sex ratio is 1. Discussion and Conclusion: OAB-q has been validated in men and women with symptoms of overactive bladder with or without incontinence (a neurological or not). Internal consistency and discriminative construct validity were demonstrated. It has been well validated in patients with multiple sclerosis and spinal cord injury. The linguistic validation Moroccan Arabic dialect is the initial step pending a psychometric validation with larger number of patients.

The Motivational Value Systems Questionnaire (MVSQ): Psychometric Analysis Using a Forced Choice Thurstonian IRT Model.

This study presents a new measure of value systems, the Motivational Value Systems Questionnaire (MVSQ), which is based on a theory of value systems by psychologist Clare W. Graves. The purpose of the instrument is to help people identify their personal hierarchies of value systems and thus become more aware of what motivates and demotivates them in work-related contexts. The MVSQ is a forced-choice (FC) measure, making it quicker to complete and more difficult to intentionally distort, but also more difficult to assess its psychometric properties due to ipsativity of FC data compared to rating scales. To overcome limitations of ipsative data, a Thurstonian IRT (TIRT) model was fitted to the questionnaire data, based on a broad sample of N = 1,217 professionals and students. Comparison of normative (IRT) scale scores and ipsative scores suggested that MVSQ IRT scores are largely freed from restrictions due to ipsativity and thus allow interindividual comparison of scale scores. Empirical reliability was estimated using a sample-based simulation approach which showed acceptable and good estimates and, on average, slightly higher test-retest reliabilities. Further, validation studies provided evidence on both construct validity and criterion-related validity. Scale score correlations and associations of scores with both age and gender were largely in line with theoretically- and empirically-based expectations, and results of a multitrait-multimethod analysis supports convergent and discriminant construct validity. Criterion validity was assessed by examining the relation of value system preferences to departmental affiliation which revealed significant relations in line with prior hypothesizing. These findings demonstrate the good psychometric properties of the MVSQ and support its application in the assessment of value systems in work-related contexts.

Inter-rater reliability and validity of peer reviews in an interdisciplinary field

Peer review is an integral part of science. Devised to ensure and enhance the quality of scientific work, it is a crucial step that influences the publication of papers, the provision of grants and, as a consequence, the career of scientists. In order to meet the challenges of this responsibility, a certain shared understanding of scientific quality seems necessary. Yet previous studies have shown that inter-rater reliability in peer reviews is relatively low. However, most of these studies did not take ill-structured measurement design of the data into account. Moreover, no prior (quantitative) study has analyzed inter-rater reliability in an interdisciplinary field. And finally, issues of validity have hardly ever been addressed. Therefore, the three major research goals of this paper are (1) to analyze inter-rater agreement of different rating dimensions (e.g., relevance and soundness) in an interdisciplinary field, (2) to account for ill-structured designs by applying state-of-the-art methods, and (3) to examine the construct and criterion validity of reviewers’ evaluations. A total of 443 reviews were analyzed. These reviews were provided by m = 130 reviewers for n = 145 submissions to an interdisciplinary conference. Our findings demonstrate the urgent need for improvement of scientific peer review. Inter-rater reliability was rather poor and there were no significant differences between evaluations from reviewers of the same scientific discipline as the papers they were reviewing versus reviewer evaluations of papers from disciplines other than their own. These findings extend beyond those of prior research. Furthermore, convergent and discriminant construct validity of the rating dimensions were low as well. Nevertheless, a multidimensional model yielded a better fit than a unidimensional model. Our study also shows that the citation rate of accepted papers was positively associated with the relevance ratings made by reviewers from the same discipline as the paper they were reviewing. In addition, high novelty ratings from same-discipline reviewers were negatively associated with citation rate.

The Fantasy Questionnaire: A Measure to Assess Creative and Imaginative Fantasy

ABSTRACTThis article reports the construction and validation of a comprehensive self-report measure of fantasy. Unlike previous measures of fantasy, which focus on psychopathology, we conceive fantasy as a trait with positive connotation. Principal component analysis (N = 318) and confirmatory factor analyses (N = 345) were conducted using 2 sociodemographically diverse samples. The results provided support for a 2-factor conceptualization of the construct, with the dimensions imaginative fantasy and creative fantasy. Imaginative fantasy refers to vivid imagination and absorption in these images and daydreams. Creative fantasy refers to the activity of using fantasy to create new ideas. The trait measure showed good internal consistency, test–retest reliability, discriminant and convergent construct validity, as well as incremental validity. Moreover, in 3 behavioral studies, we put fantasy scores in relationship with behavioral data to provide further proof of validity. A comprehensive measure of fantasy can contribute to our understanding of individual differences in inner experiences, creative processes, and problem solving.

The Virtual Short Physical Performance Battery: Psychometric Properties and Validation in Older Adults With Multiple Sclerosis.

Background: There are increasing numbers of older adults with multiple sclerosis (MS) who undergo declines in physical function that require attention of clinicians and researchers. Objective and perceived measures of disablement feasible for clinical and residential settings, such as the Short Physical Performance Battery and its virtual counterpart (vSPPB), are critical for defining the degree of disablement. Objective: We evaluated the psychometric properties and validity of the vSPPB as a measure of perceived lower extremity physical function in older adults with MS (age ≥60 years). Method: The sample included 35 older adults with MS and 35 age- and sex-matched healthy controls (age ≥60 years) who completed a battery of assessments, including the vSPPB. Results: The vSPPB performed satisfactorily in older adults with MS regarding data quality, scaling assumptions, and acceptability (i.e., psychometrics). The vSPPB further demonstrated criterion, known-groups, convergent, and discriminant construct validity. Conclusion: This report provides evidence for the validity of vSPPB scores as a measure of perceived lower extremity physical function in older adults with MS.