Scalar Measure Research Articles

Assessing the Prevalence of School Burnout in German High Schools: Psychometric Properties, Gender Differences, and Cut-Off Criteria.

School-related stress and burnout can have serious consequences for students' well-being and academic outcomes. However, there are few studies that assess the prevalence of school burnout, especially in Germany. The present study aims to determine the percentage of N = 1117 high school students who are likely to suffer from school burnout-also with regard to differences in gender and grade level. For this purpose, two different cut-off criteria are compared. Prior to this, the psychometric quality of the MBI-SuS adapted to the school context is examined. The validity and reliability of the three-factor MBI-SuS could be confirmed. Scalar measurement invariance was found for grade level but only partially for gender. The overall prevalence of school burnout of 20.9% found with the common cut-off criterion fits international prevalences, whereas the prevalence of 4.6% (determined with our recommended content-related cut-off criterion) is in line with observations from clinical practice. Depending on the cut-off value, girls suffer slightly more from school burnout, but no differences were found with respect to grade level. Results indicate that a substantial proportion of students are at risk for school burnout, highlighting the importance of prevention and intervention. Criteria for cut-off values should be applied with caution.

Can the dark core of personality be measured briefly, multidimensionally, and invariantly? The D25 measure

The dark core of personality is a recent construct that encompasses the malevolent, antagonistic, and aversive side of human nature that represents the common inner core of dark personality traits. The aim of the present study is to develop a short, multidimensional, and invariant version of the dark core of personality D70 measure. Two samples of participants were used in the current study (N = 570, M = 35.42 years, SD = 11.41, range = 18–69; N = 242, M = 30.19 years, SD = 12.78, range = 16–77). The new D25 measure was developed, consisting of five factors – Callousness, Deceitfulness, Vindictiveness, Narcissistic Entitlement, and Sadism. All the structural models examined obtained adequate fits (1-factor, 5-factor, 5-factor bifactor, 5-factor 2nd order), but the 5-factor 2nd order model was considered the best option. Internal consistency/reliability, as measured by the alpha and omega coefficients and more traditional indicators, was mainly good. Construct validity (e.g., with moral disengagement, low self-control, and empathy measures) and criterion-related validity (e.g., with justice-involvement variables) were demonstrated. Scalar measurement invariance across gender and age was established, with male participants and younger participants scoring significantly higher than female participants and older participants. The findings provide support for the use of the D25 as a valid and reliable short multidimensional measure of the dark core of personality construct.

On spaces of integrable functions associated to vector measures and limiting real interpolation

We investigate which spaces are obtained when considering the limiting class of real interpolation spaces (0,q;J) for ordered Banach couples of spaces of (scalar) integrable functions with respect to a vector measure m, defined on a σ-algebra, with values in a Banach space. If m is in particular a finite positive scalar measure, previous known results are derived from ours. Furthermore, we study the interpolation of p-th power factorable operators by the extreme real interpolation method (1,q;K). We also deduce interpolation results for the (1,q;K)-method that apply to other related classes of operators to p-th power factorable operators, such as bidual (p,q)-power-concave operators and q-concave operators.

Applying motion compensation to offshore wind lidar reconstructed wind measurements

Floating lidar systems present an effective and advantageous solution for offshore wind speed measurements, providing wind speed and direction data at multiple heights with easy deployment to provide widespread wind information around an area. One of the causes of apprehension, however, concerns buoy motion which induces overestimations of turbulence intensity and potentially imprecise measurements of horizontal wind speed. This research aims to reduce this uncertainty by applying motion compensation to three wind field reconstruction techniques (scalar, vector, and hybrid) to assess the amelioration on horizontal wind speed and turbulence intensity; especially how motion compensation can improve scalar and hybrid outputs. A three-month dataset of a floating lidar system (FLS) was compared to a nearby fixed lidar. The results demonstrate that motion compensation provides an improvement for horizontal wind speed measurement but inflates the overestimation of turbulence intensity from the floating lidar system. Though scalar reconstruction measurements provide slightly more accurate data compared to hybrid reconstructed measurements, motion compensation helps limit the bias disparity; ergo, applying motion compensation reduces the differences in bias for scalar and hybrid reconstructed measurements. This study results in two conclusions. Basic motion compensation provides a notable amelioration for horizontal wind speed FLS measurements, yet further research must be conducted to find a suitable method to improve turbulence intensity. Additionally, the scalar reconstruction method still slightly outperforms hybrid reconstruction in offshore measurement results, but motion compensation aids in limiting the differences between the two.

Applying Trust Patterns to Model Complex Trustworthiness in the Internet of Things

Key aspects of communities of the Internet of Things (IoT) smart objects presenting social aspects are represented by trust and reputation relationships between the objects. Several trustworthiness models have been presented in the literature in the context of multi-smart object community that could be adopted in the IoT scenario; however, most of these approaches represent the different dimensions of trust using scalar measures, then integrating these measures in a global trustworthiness value. In this paper, we discuss the limitation of this approach in the IoT context, highlighting the necessity of modeling complex trust relationships that cannot be captured by a vector-based model, and we propose a new trust model in which the trust perceived by an object with respect to another object is modeled by a directed, weighted graph whose vertices are trust dimensions and whose arcs represent relationships between trust dimensions. By using this new model, we provide the IoT community with the possibility of representing also situations in which an object does not know a trust dimension, e.g., reliability, but it is able to derive it from another one, e.g., honesty. The introduced model can represent any trust structure of the type illustrated above, in which several trust dimensions are mutually dependent.

Receptivity to Instructional Computer-Based Feedback (RIF)

Abstract: Feedback can play a pivotal role in learning but is only effective when students use it. However, the use of feedback varies greatly from student to student and these differences must be explained. Hence, the construct receptivity to instructional feedback (RIF) was introduced to assess students’ attitudes towards and engagement with human-provided feedback in multiple English-speaking countries. However, RIF scales have not yet been used in computer-based assessment contexts nor in German-speaking countries; their application is thus limited. This study examined an adapted and translated RIF scale using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). We capitalized on data sets comprising German-speaking university ( N = 464) and secondary school ( N = 1,207) students. The bifactor-CFA model showed a good model fit and revealed a general receptivity factor alongside the four specific factors: experiential attitudes, instrumental attitudes, cognitive engagement, and behavioral engagement with feedback. Scalar measurement invariance allowed for cross-gender and educational level comparisons. The relationships with broader personality characteristics were consistent with other contexts, thus indicating discriminant validity. General receptivity, cognitive engagement, and experiential attitudes positively correlated with GPA, suggesting convergent validity. Results support the stability of the RIF scale’s adaptation and translation. Assessment implications are discussed.

A brief screener for impairment in personality functioning: Psychometric validation of the Five-Item Screening Scale for Personality Disorders in a Dutch-speaking clinical sample.

Personality disorders (PDs) are characterized by problems with identity and self-direction. Since the recent dimensional PD models of the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) and the International Statistical Classification of Diseases and Related Health Problems, 11th edition, the role of identity and self-direction in personality pathology has been made explicitly by including these problems in a general personality pathology criterion. This criterion reflects impairment in personality functioning (IPF), which is assessed on a continuum to determine the severity of personality pathology. The present study aimed to psychometrically evaluate the Five-Item Screening Scale for Personality Disorders (FISSPD; Skodol et al., 2011), a short screener for IPF, in a Dutch-speaking clinical sample of 820 adults. This screener mainly taps into self-related impairment, with four items measuring self-related impairment and one item measuring interpersonal impairment. The factor structure, scale reliability, measurement invariance (across sex, age, and patients with vs. without PD), and convergent validity were investigated. The Dutch FISSPD showed a unidimensional structure and good scale reliability. Scalar measurement invariance was established across sex, age (patients below vs. above age 40), and patients with versus without PD. The Dutch FISSPD was significantly related to identity and all DSM-IV/5 Section-II PD symptoms. The present study indicates that the Dutch FISSPD has potential as a reliable and valid screener for personality pathology in adult patients. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Emotional problems across development: examining measurement invariance across childhood, adolescence and early adulthood.

Emotional problems (anxiety, depression) are prevalent in children, adolescents and young adults with varying ages at onset. Studying developmental changes in emotional problems requires repeated assessments using the same or equivalent measures. The parent-rated Strengths and Difficulties Questionnaire is commonly used to assess emotional problems in childhood and adolescence, but there is limited research about whether it captures a similar construct across these developmental periods. Our study addressed this by investigating measurement invariance in the scales' emotional problems subscale (SDQ-EP) across childhood, adolescence and early adulthood. Data from two UK population cohorts were utilised: the Millennium Cohort Study (ages 3-17 years) and the Avon Longitudinal Study of Parents and Children (4-25 years). In both samples we observed weak (metric) measurement invariance by age, suggesting that the parent-rated SDQ-EP items contribute to the underlying construct of emotional problems similarly across age. This supports the validity of using the subscale to rank participants on their levels of emotional problems in childhood, adolescence and early adulthood. However strong (scalar) measurement invariance was not observed, suggesting that the same score may correspond to different levels of emotional problems across developmental periods. Comparisons of mean parent-rated SDQ-EP scores across age may therefore not be valid.

Teacher autonomy support counters declining trend in intrinsic reading motivation across secondary school

Students’ intrinsic motivation to read, which is relevant to all forms of learning, tends to decline throughout secondary school. Based on self-determination theory (SDT), this study examines whether this downward trend is slowed when students perceive greater autonomy support in the classroom. We used large-scale panel data from the NEPS comprising N = 8193 students in Germany who reported their intrinsic motivation to read and their perceived autonomy support from German teachers at annual intervals from fifth to eighth grade. Scalar longitudinal measurement invariance was found for intrinsic reading motivation (IRM) and teacher autonomy support (TAS). A dual change score model showed a decline in IRM and a negative, non-significant decrease in TAS over time. Confirming our hypothesis, the decline in IRM was slowed by earlier levels of TAS. We discuss methods to counteract the decline in intrinsic reading motivation.

An evaluation of the psychometric properties of the Australian Collaborative Practice Assessment Tool

Objectives This study aimed to validate the Collaborative Practice Assessment Tool (CPAT) in the Australian setting and provide a quality instrument in terms of psychometric properties that can be used to measure interprofessional outcomes for both healthcare practitioners and students. The outcomes evaluated include the capacity to work in an interprofessional team, good interprofessional communication skills, leadership skills, ensuring clear division of tasks and roles in a team, effective conflict management, and being actively involved with patients and their families/communities in care. Methods The COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) taxonomy and standards were used as guides for evaluating the psychometric properties of the Australian CPAT, which include evaluations regarding instrument development requirements of sample target and size, content validity, internal structure (structural validity, internal consistency reliability and measurement invariance), and hypotheses testing. CPAT Australia was developed through two stages involving pilot studies and a validation study, both of which included healthcare practitioners and students as participants. A pilot study examined content validity regarding item relevance, item comprehensibility, and instrument comprehensiveness. The validation study was carried out to assess the internal structure of CPAT Australia for aspects of structural validity, internal consistency reliabilities, and configural, metric and scalar measurement invariance. The structural validity was explored using the following three steps: exploratory, confirmatory, and multi-group factor analysis. Construct validity was evaluated to confirm direct and indirect paths of assumptions based on a previously validated model. Data collected between August 2021 and May 2022. Results The content validity evaluation confirmed that all items were relevant, understandable and comprehensive for measuring interprofessional collaborative care in Australia. Three hundred ninety-nine participants contributed to the validation study (n=152 practitioners; n=247 students). The original instrument model of 8-Factor 56-Item was improved in the Australian CPAT. Two items, Item 27 (Physicians assume the ultimate responsibility) and Item 49 (Final decision rest with the physician), were consistently rejected and therefore discarded. The internal structure of the 7-Factor 54-Item solution was confirmed as a suitable model with fit indices meeting COSMIN standards for a good model in practitioner and student cohorts. Configural, metric and scalar invariances were confirmed, indicating the invariance of the instruments when used for the practitioner and student cohorts. The construct validity evaluation indicated that 81.3% of direct and indirect assumptions were accepted, fulfilling the COSMIN requirement of >75% of proposed assumptions being accepted. Conclusion The Australian CPAT with a 7-factor 54-item solution was confirmed as a quality measure for assessing interprofessional education and collaborative practice for both healthcare practitioners and students in Australia with robust psychometric properties.

Development and Psychometric Evaluation of a Novel Measure of Nicotine E-cigarette Withdrawal for use with Adolescents and Young Adults.

Nicotine withdrawal is a well-established construct that prompts continued nicotine product use and contributes to failed cessation efforts. Despite ongoing public health concerns about nicotine e-cigarette use in adolescents and young adults (AYAs), no psychometrically-sound measure of nicotine e-cigarette withdrawal exists for this population. A mixed methods approach comprising a literature review to identify existing nicotine withdrawal items; subject matter expert feedback on existing items and novel item generation; cognitive interviews assessing the measure's instructions, items, and response options; and a large quantitative validation survey (N = 997) was employed to develop the novel retrospective measure of nicotine e-cigarette withdrawal. A 25-item solution comprising four subscales - Negative Affect, Negative Physical Symptoms, Craving, and Appetite/Food - and an Overall Withdrawal score was supported. Internal reliability was excellent (mean alpha = 0.91), and scalar measurement invariance was reached for all subgroups tested (e.g., sex, age, exclusive e-cigarette use versus dual tobacco product use, daily versus non-daily nicotine vaping). Overall Withdrawal and its subscales evidenced concurrent validity with time to first vape in the morning, e-cigarette dependence, and previous vaping cessation attempts, although not each subscale was associated with each outcome. Importantly, cross-sectional incremental validity analyses indicated that retrospective withdrawal accounted for variance in each outcome above and beyond e-cigarette dependence. The novel retrospective AYA Nicotine E-cigarette Withdrawal Scale (AYA NEWS) evidenced strong psychometric properties for use in this population. Future research can determine whether the AYA NEWS can be used to assess acute e-cigarette nicotine withdrawal. While e-cigarette use remains the most prevalent form of nicotine product use among adolescents and young adults, there are limited options for psychometrically-sound measures of e-cigarette-related constructs in this population. Withdrawal from nicotine is associated with failed cessation attempts and continued use of nicotine-containing products, making it a critical construct within tobacco-related research. This study outlines the development and preliminary psychometric evaluation of a novel, retrospective measure of nicotine e-cigarette withdrawal. Study findings support using the Adolescent and Young Adult Nicotine E-cigarette Withdrawal Scale (AYA NEWS) to assess retrospective withdrawal from nicotine e-cigarettes in young people.

Psychometric Evaluation of the Modified E-cigarette Evaluation Questionnaire for use with High School Adolescents and Young Adults.

The subjective experience of positive and negative effects of e-cigarette use has been shown to relate to e-cigarette use outcomes in adults, but no validated measure of e-cigarette subjective response exists for adolescents and young adults (AYAs). In the current study, the psychometric properties of the Modified E-cigarette Evaluation Questionnaire (MECEQ) were evaluated for use with AYAs. 997 AYAs who endorsed using nicotine e-cigarettes at least 4 days per week completed an anonymous, online survey in 2022 (51.1% male; 17.39 [1.88] years old; 33.9% Hispanic; 68% White). Analyses included factor analysis to determine the latent structure of the MECEQ, internal consistency, measurement invariance, between-group differences, and test-criterion relationships with vaping frequency and dependence. The originally-proposed, five-factor structure and a novel four-factor structure were supported, and each subscale was internally consistent. Both models reached scalar invariance for all participant subgroups tested (e.g., sex, daily vaping status), and several between-groups differences were observed. For instance, compared to less frequent vaping, daily vaping was associated with increased Craving Reduction (5-factor), reduced Stimulant Effects (4-factor), and reduced Aversion (5-factor; 4-factor). Adjusted relationships between both MECEQ versions and vaping frequency and dependence provided evidence of concurrent validity. Similar to adults, a five-factor and four-factor version of the MECEQ were supported and evidenced internal consistency, scalar measurement invariance, and concurrent relationships with vaping frequency and dependence. Moving forward, researchers are encouraged to include the MECEQ in future studies to better understand the importance of subjective response in AYA vaping behavior. The Modified E-cigarette Evaluation Questionnaire (MCEQ), an e-cigarette-adapted version of the Modified Cigarette Evaluation Questionnaire (MCEQ), recently was validated to assess subjective e-cigarette effects among adults. Here, we demonstrate that the MECEQ can be used among adolescents and young adults (AYAs). The MECEQ can be scored using the original, five-factor MCEQ structure or using a novel, four-factor structure. Both versions were internally consistent, reached scalar measurement invariance, and evidenced concurrent relationships with vaping frequency and dependence. In sum, this study provides the field with the first psychometrically-sound measure of subjective effects of e-cigarette use for use with AYAs.

Reference prior for Bayesian estimation of seismic fragility curves

One of the key elements of probabilistic seismic risk assessment studies is the fragility curve, which represents the conditional probability of failure of a mechanical structure for a given scalar measure derived from seismic ground motion. For many structures of interest, estimating these curves is a daunting task because of the limited amount of data available; data which is only binary in our framework, i.e., only describing the structure as being in a failure or non-failure state. A large number of methods described in the literature tackle this challenging framework through parametric log-normal models. Bayesian approaches, on the other hand, allow model parameters to be learned more efficiently. However, the impact of the choice of the prior distribution on the posterior distribution cannot be readily neglected and, consequently, neither can its impact on any resulting estimation. This paper proposes a comprehensive study of this parametric Bayesian estimation problem for limited and binary data. Using the reference prior theory as a cornerstone, this study develops an objective approach to choosing the prior. This approach leads to the Jeffreys prior, which is derived for this problem for the first time. The posterior distribution is proven to be proper (i.e., it integrates to unity) with the Jeffreys prior but improper with some traditional priors found in the literature. With the Jeffreys prior, the posterior distribution is also shown to vanish at the boundaries of the parameters’ domain, which means that sampling the posterior distribution of the parameters does not result in anomalously small or large values. Therefore, the use of the Jeffreys prior does not result in degenerate fragility curves such as unit-step functions, and leads to more robust credibility intervals. The numerical results obtained from two different case studies—including an industrial example—illustrate the theoretical predictions.

Construct validation and measurement invariance of the Parasocial Relationships in Social Media survey.

This paper examines the construct validity and measurement invariance of the Parasocial Relationships in Social Media (PRISM) survey which was designed to provide researchers with a valid and reliable tool for measuring parasocial relationships developed in a social media context. A confirmatory factor analysis indicated the survey provides an adequate measure of parasocial relationships with online, social media celebrities, replicating the factor structure found by Boyd and colleagues when they developed PRISM and providing evidence of the construct validity of the survey. Additionally, scalar measurement invariance was achieved which supports the survey's ability to compare parasocial relationships across different social media platforms.

Measuring Student Engagement in Lessons Using an Experience Sampling Methodology: The Development and Validation of the Dynamic Engagement With Learning Questionnaire

Student engagement is a central construct in education research, as it is a strong predictor and/or mediator of both cognitive and non-cognitive student outcomes. However, there remain questions among researchers about how to properly measure student engagement during lessons. Our study contributes to this discussion by presenting the development and validation of a theoretically grounded questionnaire of students’ lesson engagement, which is based on an experience sampling methodology. To validate this questionnaire, we issued it to 410 fifth- and sixth-grade students (10–12 years old). The results of both an exploratory and multilevel confirmatory factor analysis approved construct validity of the measure. Adequate within-person variability across time points was also found, which makes the questionnaire suitable for capturing fluctuations over time. Furthermore, partial scalar measurement invariance for questionnaire administration across time points and between fifth- and sixth-grade students was found.

An in-plane phase-field ductile fracture model for orthotropic paperboard material

A phase-field ductile fracture formulation for orthotropic paperboard materials is proposed, based on an anisotropic, multi-surface elastoplastic model describing the in-plane behavior of paperboard. A variational statement for the finite-step elastoplastic problem is extended to include the variational description of Griffith-type brittle fracture by a phase-field gradient term. The interaction between plastic and fracture dissipation mechanisms is modeled by introducing a scalar modulation function, assuming plasticity driven damage growth. This function depends on a scalar measure of the plastic strain components in the material orthotropy frame. It modifies the fracture activation criterion in a non-variational fashion, resulting in a direction-dependent material strength against crack propagation. The model performance is assessed by comparing numerical simulations and experimental tests conducted in a climate-controlled laboratory.

Portuguese adaptation of the Behavioral Inhibition Questionnaire (BIQ)

Behavioral inhibition (BI) is a temperamental trait characterized by a consistent pattern of behavioral and emotional responses to unfamiliar people and novel situations. BI exhibits moderate stability across development and is considered a risk factor for the emergence of emotional disorders in adolescence and adulthood, making early assessment crucial for understanding this behavioral pattern. In the Portuguese context, there is a paucity of measures specifically designed to assess BI in childhood. To address this gap, we aimed to adapt and examine the psychometric properties of the Behavioral Inhibition Questionnaire (BIQ) in Portuguese children. We obtained BIQ ratings from both parents and teachers of 435 children (average age = 57.1 months; SD = 13.8). Confirmatory factor analysis supported a six-factor measurement model, each factor loading onto a higher-order BI factor. Additionally, we included a method factor to account for reversed items. Full scalar measurement invariance across gender and age groups was supported. Parents and teachers showed good agreement in their ratings of BIQ scores. Comparisons with other instruments revealed good convergent validity. The BIQ scores showed acceptable reliability, although the subscales exhibited limited sensitivity in discriminating between different contexts where BI may manifest. This study suggests that the BIQ is a reliable and valid tool for assessing BI in Portuguese children.

Measuring primary school teachers’ attitudes towards new technology use: development and validation of the TANT questionnaire

This study concerns the development and validation of a questionnaire to measure primary school Teachers’ Attitudes towards New Technology use in teaching (TANT). Many researchers, policy makers and educators have emphasized the importance of using new technology in teaching. However, no instrument is available to measure teachers’ attitudes towards using new technology in teaching. In a previous literature study (authors), we used the well-known Theory of Planned Behaviour to identify and structure eight underlying factors that make up primary school teachers’ attitudes towards using technology in teaching. In the current study we aim to measure these factors. To that end, we developed eight corresponding scales, as well as a scale to measure primary school teachers’ use of new technology. Results of the validation study among 659 pre- and in-service teachers showed adequate convergent and discriminant validity for six attitudinal factors and teachers’ use of new technology. In addition, we explored the predictive validity of the attitudinal factors for explaining variability in teachers’ use of new technology and established configural, metric and scalar measurement invariance.

Measuring Global Character Dimensions: An Ant Colony Optimization Approach toward Three Core Strength Scales

The Values in Action (VIA) framework encompasses 24 universally valued character strengths. Recent factor-analytic work has identified three global core strengths (metatraits) that proved to be well-interpretable and cross-culturally replicable: positivity, dependability, and mastery. However, there are no short scales to economically measure these core strengths that would encourage (large-scale) survey-based research on the global level of the VIA trait space. In the present study, we selected 18 items to measure the three metatraits from the 96-item IPIP-VIA-R inventory. To optimize the item selection while considering multiple psychometric criteria simultaneously, we made use of Ant Colony Optimization. Thereby, we obtained balanced-keyed scales that cover the heterogeneous constructs well, showed good model fit and reliability across six samples from Germany and the U.K. (total N = 2,754), and achieved scalar measurement invariance across countries. Furthermore, we demonstrated each scale’s validity by locating the three core strengths in a nomological net with personality and value metatraits, life satisfaction, and behavioral criteria. Available in the public domain in English and German, these both valid and economical core strength scales may further stimulate integrative research on personality and values.

Tensor gradiometry with a diamond magnetometer

Vector magnetometry provides more information than scalar measurements for magnetic surveys utilized in space, defense, medical, geological, and industrial applications. These areas would benefit from a mobile vector magnetometer. Here we present a scanning fiber-coupled nitrogen-vacancy (N-V) center vector magnetometer. Feedback control of the microwave excitation frequency is used to improve dynamic range and maintain sensitivity during movement of the sensor head. Tracking of the excitation frequency shifts for all four orientations of the N-V center allows us to image the vector magnetic field of a damaged steel plate. We calculate the magnetic tensor gradiometry images in real time, and they allow us to detect smaller damage than is possible with vector or scalar imaging. Published by the American Physical Society 2024