Model Of Scale Research Articles

The Process Model of Emotion Regulation Scale (PMERQ)

The Process Model of Emotion Regulation Scale (PMERQ)

Cultural normative beliefs in the U.S. as a determinant of negative dental experiences and dental anxiety: a preliminary investigation

AbstractDental anxiety, a predictor of both dental treatment avoidance and health outcomes, has been linked with early negative dental experiences. The causes of this relationship remain largely unexplored. This study provides a preliminary exploration of within-cultural variations of dental normative beliefs on the perception of negative dental experiences and the subsequent experience of dental anxiety in the U.S. A sample of 190 U.S. adults recruited from Amazon’s MTurk completed measures of cultural normative beliefs about oral health care, age and fear at first dental visit, history of negative dental experiences, and dental anxiety. Factor analysis yielded support for a three-factor model (daily maintenance, regular check-up, and dental treatment) of the dental cultural normative beliefs scale. Correlations and structural equation modeling found support for a previously posited theoretical model in which negative dental experiences and fear at first dental visit mediate associations between the cultural normative beliefs and dental anxiety. Most notably, cultural normative beliefs favoring a prevention orientation to dental treatment and daily maintenance of oral health predicted less fear at the first dentist visit, which in turn, related to fewer negative dental experiences and less dental anxiety. This preliminary survey suggests that dental cultural normative beliefs within the U.S. shape fear during initial dental visits. Future research should build on this initial work and explore between-cultural norm variations as well as strategies for changing cultural normative beliefs to improve perceptions of dental experiences and lessen dental anxiety.

Assessment of different energy-based breakage distribution functions in population balance model of an industrial scale continuously operated wet stirred media mill

This study aimed at assessing various energy-based breakage distribution functions Bij within the context of a population balance model (PBM) of copper ore milling in a wet stirred media mill (WSMM). First, drop weight impact tests were performed to determine the size distribution parameters, tn. Second, various tn models called tn-fitted and tn-regenerated approaches were used to fit experimental tn, and their goodness-of-fits were compared. They were then used to construct the matrices of the cumulative breakage distributions, Bij, of the PBM, while a power-law form of the specific breakage rate function, Si, was assumed. By fitting the PBM to the product particle size distributions (PSDs) obtained under various rotor speeds, suspension volumetric flow rate, and solids content, we estimated the Si parameters. Results suggest that except the Napier-Munn model, all tn models fitted the experimental drop weight data reasonably well, which was reflected in the PBM fitting of the product PSDs. The PBM fits with Bij constructed with the tn-regenerated approach were more accurate than those with the tn-fitted approach. The PBM was validated with additional tests that were not considered in the parameter estimation. Overall, we have established that the choice of tn function and the methodology to determine Bij can affect the PBM predictions of the WSMM process significantly.

Arabic validation of the parental stress scale (PSS) in a population-based sample of Lebanese parents

ABSTRACT Background Parental stress significantly impacts the well-being of families, and necessitates culturally sensitive tools for its assessment. The Parental Stress Scale, widely used in diverse cultural settings, lacks a validated Arabic version suitable for the Lebanese context, where unique sociopolitical and economic factors might influence parental stress differently. This study aimed to translate, culturally adapt, and validate the scale in Arabic among a Lebanese sample Methods Following the Snowball sampling method, participants (n = 502) were adult Lebanese parents who answered demographic questions and completed the Arabic version of the Parental Stress Scale and the Depression, Anxiety, and Stress Scale-8. Results Confirmatory Factor Analysis showed a two-factor model of the Parental Stress Scale (CFI = 0.956). We found adequate composite reliability for both the ‘Parental Stress’ (ω = 0.91/α = 0.91) and ‘Parental satisfaction’ (ω = 0.94/α = 0.94) subscales. Convergent validity and concurrent validity were demonstrated through positive correlations with measures of depression, anxiety and stress. Our translation of the scale was shown to be invariant across sexes, with fathers scoring significantly higher than mothers. Conclusion Our validated Arabic version of the Parental Stress Scale offers a culturally sensitive instrument for assessing parental stress in Lebanon. This tool enables healthcare providers and researchers to identify stressors affecting Lebanese families, facilitating the development of targeted interventions to support parental mental health.

Weight-Specific Grip Strength as a Novel Indicator Associated with Cardiometabolic Risk in Children: The EMSNGS Study.

Handgrip strength (HGS) is an important indicator of sarcopenia and adverse health outcomes. However, evaluating HGS in children presents challenges, and its association with metabolism remains incompletely understood. To establish grip strength reference values for Chinese children and adolescents, as well as to evaluate the relationship between HGS and cardiometabolic risk. Data were collected from 4 072 participants aged 6-18 as part of the Evaluation and Monitoring on School-based Nutrition and Growth in Shenzhen (EMSNGS) study. HGS was measured, and relative HGS (RHGS) was normalized by body mass index. Age- or weight-specific HGS and RHGS were derived using the generalized additive model of location, scale, and shape (GAMLSS) model, and participants' values were categorized into quartiles, defining low strength as the lowest quartile. The cardiometabolic risk index (CMRI) z-score was calculated, with high risk defined as a z-score of ≥ 1. Both boys and girls exhibited similar increases in age- and weight-specific grip strength. Low grip strength, classified by weight-specific HGS and RHGS, was linked to higher CMRI z-scores compared to classifications based on age-specific references in both sexes. A dose-dependent relationship was observed between weight-specific grip strength and cardiometabolic risk, particularly in boys. Compared to the middle category (P25th-P75th), the odds ratios for high cardiometabolic risks associated with low grip strength increased in both sexes. This study established grip strength reference values for Chinese youth, introduced the concept of weight-specific HGS and RHGS, and demonstrated a dose-dependent relationship between weight-specific grip strength and cardiometabolic risk. These findings highlighted the association between low muscle strength and increased cardiometabolic risk.

Assessing the psychometric properties of Connor-Davidson Resilience Scale 25 (CD-RISC 25) in pharmacy students and academics in the Eastern Mediterranean Region

BackgroundResilience is a complex concept that is defined and influenced by the context of individuals, organisations, societies and cultures. The Connor-Davidson Resilience Scale (CD-RISC) is a widely used validated tool to evaluate psychological resilience. CD-RISC is a self-administered scale of twenty-five items, each rated by a 5-point Likert scale. The scale evaluates overall personal resilience through assessing five main resilience-related constructs; personal competence, trust in one's instincts, positive acceptance of change, control and spiritual influences. As per the scale's developers, higher scores reflecting greater level of resilience. This particular tool has not previously been tested with a pharmacy student or academic population sample. ObjectiveThis study aims to assess the factor structure, validity, and reliability of the CD-RISC-25 in a sample of pharmacy students and academics from faculties drawn across the Eastern Mediterranean Region (EMR). MethodsA cross-sectional study was carried out between October 2020 and January 2021 sampling pharmacy students and academics across the EMR who were invited to complete the self-administered CD-RISC 25 questionnaire. Confirmatory factor analysis using principal components analysis with oblique rotation was conducted on sample responses (n = 616). The internal consistency and reliability for each identified factor and from the CD-RISC scale was evaluated by using Cronbach's alpha coefficient. ResultsFive factors were isolated accounting for 51.5 % total cumulative model variance. Identification of factors showed high convergence with previous work on the CD-RISC resilience tool. The current study in our sample found a five–factor structure which differed from the original scale reliabilities. This study did identify a five-factor solution with differing item factor loadings. The reliability analysis on the CD-RISC-25 items in our study sample revealed an overall Cronbach Alpha value of 0.89; however, three items showed corrected Item-total correlations of <0.3. Our analysis, in this respondent sample, suggested a re-adjustment of the scale inclusions to improve overall scale stability and performance. ConclusionsThe current research findings propose a modified five-factor structure to resilience, with a 22-item unidimensional model of CD-RISC scale.

Adaptation of Belk’s materialism scale to the Polish population and assessment of relationships between materialism, values, religiosity, and pro-environmental beliefs

ABSTRACT According to Russell Belk’s conceptualisation, materialism is a personality trait reflected in possessiveness, envy, and non-generosity. The aim of the study was to adapt Belk’s Materialism Scale (BMS) to the Polish population, specifically, to evaluate its psychometric properties (factor structure and reliability) and convergent and divergent validity. Also, we aimed to examine relationships between materialism and values (according to Schwartz’s theory), religiosity, and pro-environmental beliefs (within the New Ecological Paradigm). We conducted two studies: the adaptation study I (N = 770) and the hypotheses-testing study II (N = 568). In Study I, we performed confirmation and exploration factor analyses (CFA and EFA) and established a convergent validity (with the Richins & Dawson’s Materialism Value Scale) and a discriminant validity (with the Jaworska-Gruszczyńska’s Time Organization Scale). After modifying the initial model of the materialism scale, based on error covariance and changes in the number of items, we developed the Polish version of the BMS, which proved its applicability in the Polish population. The Study II results showed that materialism positively related to self-enhancement value, while it negatively related to openness to change and self-transcendence values, and religiosity.

Measurement invariance of the higher-order model of Preschool Anxiety Scale (PAS) across child age, gender, parental anxiety, and pandemic period in England.

The Preschool Anxiety Scale (PAS) is a parent-report scale measuring young children's anxiety symptoms involving five specific anxiety symptoms (separation anxiety, physical injury fears, social phobia, obsessive-compulsive disorder, generalized anxiety) that load on a higher-order factor representing general anxiety shared by all specific anxiety symptom subtypes. Although the PAS has been widely used to assess anxiety symptoms in young children, few studies have tested its measurement invariance for group comparisons. Using data from a sample of 2,221 children and their parents/carers in the United Kingdom, this study investigated the measurement invariance of the higher-order model of the PAS across child age (4-6 years vs. 6-7 years), gender (girls vs. boys), parental anxiety (low vs. high level), and children's living circumstances (before vs. after the removal of COVID-19 restrictions). Our findings demonstrated the good factor structure, internal consistency, and convergent validity of the higher-order model of the PAS in all subgroups and supported its configural, metric, and scalar invariance across these subgroups. Therefore, the findings suggest that the PAS is a reliable and valid instrument for assessing specific anxiety symptoms and general anxiety among young children in the United Kingdom and that comparisons can be made between the subgroups under examination. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Study on the flame radiative heat transfer and near-field radiation heat flux predictive model of vehicle fires in a tunnel

As a major form of heat transfer, flame thermal radiation has an important effect on the ignition of adjacent energy, fire spread and environmental damage. Forecasting the flame radiation heat flux can provide theoretical basis for fire hazard assessment, fire extinguishing and salvation. Meanwhile, the distinctive structure of the arc tunnel can result in significant variations in the local heat and mass transfer processes during tunnel fires compared to those in rectangular tunnels, leading to different fire characteristics parameters. In this study, experiments and theoretical analyses were conducted to investigate the flame length scale and near-field radiation heat flux on the lower surface of an arc-shaped ceiling induced by vehicle fires in a tunnel. The findings reveal that the flame length scale in the transverse direction beneath the arc-shaped ceiling decreases with an increasing burner aspect ratio and increases with the increasing heat release rate. A dimensionless model of the flame length scale under the arced ceiling with various burner aspect ratios was proposed based on the amount of remaining unburned fuel after flame impingement and the buoyancy component along the arc-shaped ceiling. Simultaneously, radiative heat fluxes on the lower surface also increase with rising heat release rate. The flame geometry beneath the arc-shaped ceiling is assumed to be a combination of a cuboid and an arc plate model based on the actual flame length scale. Subsequently, the view factor, radiative fraction, and flame surface area are analyzed to predict the radiative heat fluxes on the lower surface. The predictions of the cuboid and arc plate flame model show good agreement with the current experimental data. This work presents a dimensionless correlation of the flame length scale and calculates the view factor between the target and the arc plate to predict the near-field radiative heat flux more accurately. This approach also facilitates the understanding of flame spreading behavior and thermal hazards impacted by arced ceiling.

A new workflow for warning and controlling the water invasion

Warning and controlling the water invasion in water-driving reservoirs is significant because water invasion will seriously hamper well productivity and gas recovery. Unfortunately, there are few comprehensive methods to control water invasion. First, we establish and verify a water invasion model of reservoir scale. Then, a new workflow for warning and controlling the water invasion is proposed using the numerical simulation method. The workflow first judges the water invasion characteristics, determines the water invasion index based on the production data, and then controls the water invasion by finding and closing the perforation layer of serious water production. Finally, the optimal water control scheme is obtained by comparing water and gas production. The results show that the accuracy of the geological reserves of the established water invasion model is 99% and has a good pressure fitting result. The early warning chart for the gas reservoir in the west of Amu Darya B area is drawn, including the early warning pressure and the level 1, level 2, and level 3 early warning water–gas ratio, which is convenient for field application. For the water-driving wells west of area B, the early warning value of the water–gas ratio increases with the increase of gas production rate during fixed production and decreases with the increase of bottom hole pressure during constant pressure production. Closing the harmful perforation from the water-finding study will significantly reduce the water while retaining the gas production. After water control technology, water production decreased by 90.9%, while gas production decreased by only 9.7%.

Scale effects on the hydrodynamic performance of a submerged body

The increasing development and utilization of submerged bodies in ocean exploration have led to significant challenges due to their unique working environment. Conducting experiments with a full-scale submerged body is exceptionally difficult. To investigate scale effects on the hydrodynamic characteristics of submerged bodies, a three-dimensional numerical model for submerged bodies was established based on the Reynolds-averaged Navier–Stokes (RANS) equations and utilizing the Realizable k-ɛ turbulence model. The volume of fluid (VOF) method was used for interface capture. Initially, the reliability of the numerical model was verified through result validation and convergence analysis of the grid and time steps. Subsequently, SUBOFF model of different scales were adopted using the established numerical model considering the influence of the Froude number (Fr). The present study focused on investigating the effect of model scales on the wave pattern, resistance characteristics, and nominal wake fields. Research has shown that the scale effects on the frictional resistance and the wake field of the submerged body are significant. The numerical model used in the present study demonstrated good accuracy. A comprehensive analysis of the scale effects on submerged bodies was conducted, providing valuable insights for the application of model data to full-scale scenarios.

Resource allocation modeling for autonomous prediction of plant cell phenotypes

Predicting the plant cell response in complex environmental conditions is a challenge in plant biology. Here we developed a resource allocation model of cellular and molecular scale for the leaf photosynthetic cell of Arabidopsis thaliana, based on the Resource Balance Analysis (RBA) constraint-based modeling framework. The RBA model contains the metabolic network and the major macromolecular processes involved in the plant cell growth and survival and localized in cellular compartments. We simulated the model for varying environmental conditions of temperature, irradiance, partial pressure of CO2 and O2, and compared RBA predictions to known resource distributions and quantitative phenotypic traits such as the relative growth rate, the C:N ratio, and finally to the empirical characteristics of CO2 fixation given by the well-established Farquhar model. In comparison to other standard constraint-based modeling methods like Flux Balance Analysis, the RBA model makes accurate quantitative predictions without the need for empirical constraints. Altogether, we show that RBA significantly improves the autonomous prediction of plant cell phenotypes in complex environmental conditions, and provides mechanistic links between the genotype and the phenotype of the plant cell.

Omnichannel product selection and shelf space planning optimization

As the retail industry is evolving toward an omnichannel paradigm, we study a product selection and shelf space planning problem faced by omnichannel retailers. We aim to maximize aggregated profits across channels by determining the optimal product offerings for the offline and online channels while optimizing the allocation of limited shelf space to these products in brick-and-mortar stores. Furthermore, the showroom effect of physical stores on online sales is also taken into account. We propose a corresponding model that jointly optimizes these decisions. To solve the nonlinear nonconvex model of practical scale, we first reformulate it into a mixed integer quadratic programming by exploring the structural properties. Next, we use the reformulation linearization technique to further improve the computational speed. Our numerical studies validate the efficiency of the proposed solution approach. In addition, we derive some managerial insights, including that retailers should adopt joint optimization and consider how the involved effects and parameters may influence their profits and decisions.

Deriving the Transdiagnostic Scales From the Personality Assessment Inventory and SPECTRA: Indices of Psychopathology: A Demonstration.

Transdiagnostic models of psychopathology address many of the shortcomings common to categorical diagnostic systems. These empirically derived models conceptualize psychopathology as a few broad interrelated and hierarchically arranged dimensions, with an overarching general psychopathology dimension, the p-factor, at the apex. While transdiagnostic models are gaining prominence in mental health research, the lack of available tools has limited their clinical translation. The present study explored the potential of creating transdiagnostic scales from the joint factor structure of the Personality Assessment Inventory, Alternative Model of Personality Disorder trait scales (AMPD), and the clinical scales of the SPECTRA: Indices of Psychopathology (SPECTRA). Exploratory factor analysis in a clinical sample (n = 212) identified five factors corresponding to the Negative Affect/Internalizing, Detachment, Antagonism/Externalizing, Disinhibition/Externalizing, and Thought Disorder transdiagnostic dimensions. Goldberg's "Bass-Ackward" method supported a hierarchical structure. Five composite transdiagnostic scales were created by summing each factor's highest loading PAI and SPECTRA scales. A global psychopathology scale was created by summing the five composite scales. All the composite scales demonstrated adequate internal consistency. Correlations between the composite scales and the NEO Five-Factor Inventory-3 provide initial validity evidence for four composite and global scales. The composite thought disorder scale had no conceptually corresponding NEO domain. Clinical implications and study limitations are discussed.

Multiscale modeling of reservoir systems using geostatistical methods

Identifying factors and quantifying the processes, influencing the extent of reservoir rocks and the distribution of their heterogeneities are fundamental prerequisites to improve the characterization of reservoir connectivity and its dynamic functioning. In this paper, we propose a multiscale approach based on combined geological–geophysical investigations, geostatistics, and 3D geological modeling to build a structural model of faulted-reservoir systems, at regional and local scales within the Jeffara basin, southeast Tunisia.

Psychometric properties of an Arabic translation of the short entrapment scale in a non-clinical sample of young adults

BackgroundEntrapment is the feeling of wanting to leave an unbearable situation but believing that there are no options to do so. An Arabic entrapment Scale will assist healthcare professionals in the region in the prevention of suicide as the tool is tailored to the specific sociocultural context, which would enhance entrapment detection.ObjectiveIn the current study, we aim to evaluate the psychometric properties of a translated Arabic version of the Entrapment Scale Short Form (E-SF).MethodsThree hundred eighty-nine Lebanese citizens were enrolled in this cross-sectional study.ResultsThe mean age of participants was 23.03 years (SD = 2.93), 69.4% being women. To examine the factor structure of the entrapment scale, we used an exploratory-to-confirmatory factor analysis (EFA-to-CFA) strategy. EFA and CFA results indicated that the fit of the unidimensional model of the Arabic Entrapment Scale (A-ES) was generally acceptable. Composite reliability of scores was adequate in the total sample (ω = .87). All indices suggested that configural, metric, and scalar invariance was supported across genders. Entrapment was positively and significantly correlated with suicidal ideation, alcohol use disorder, psychological distress, and orthorexia nervosa, suggesting convergent and divergent validity.ConclusionThe A-ES was found to be a valid and reliable tool to assess the degree of entrapment in Lebanese young adults. The A-ES will assist healthcare professionals in the region in the prevention of suicide as the tool is tailored to the specific sociocultural context, which would enhance entrapment detection.

Confirmatory factor analysis and gender invariance of the Persian version of psychological control scale: association with internalizing and externalizing behavior problems.

The current cross-sectional study aimed to examine the reliability, construct validity, gender invariance and concurrent validity of the psychological control scale-youth self-report (PCS-YSR) among Iranian adolescents. A total of 1,453 high school students (49.2% boys; Mage = 15.48, SD = 0.97), who aged between 14 and 18 years old completed the PCS-YSR and the youth self-report (YSR) scale of behavior problems. Reliability was established using Cronbach's alpha and ordinal alpha for maternal and paternal psychological control. The confirmatory factor analysis (CFA) results supported the original unidimensional model of the PCS-YSR scale for both mother and father forms. Results also revealed that mother and father forms of PCS-YSR were invariant across adolescents' gender. When comparing the mean differences, mothers were more psychologically controlling toward their sons, compared to their daughters. The mother and father forms of PCS-YSR were found to have acceptable concurrent validity through their relationship to internalizing and externalizing behavioral problems. Overall, our findings supported the psychometric properties of the Persian version of the Psychological Control Scale-Youth Self-Report among Iranian adolescents. This scale can be used as an efficient tool for parental psychological control among adolescents in Iran. The negative effect of the intrusive parenting behavior on child' negative outcomes in Iran, irrespective of culture, was shown.

Racial ideology, system justification, and just world belief in African Americans.

Just world belief and system justification have previously been proposed to explain actions and beliefs of disadvantaged groups, but rarely together and never simultaneously in participants of color. A necessary expansion of work in this area is among African-American participants with differing views of race and how those views influence justice perceptions. Racial ideologies, used in African-American racial identity research, were studied as possible predictors of belief in a just world and system justification scores. The four racial ideologies examined in this study are assimilationist, humanist, nationalist, and oppressed minority. The current study examines belief in a just world and system justification as predicted by racial ideology. Participants (n = 261) responded to an online survey containing racial ideology items from the Multidimensional Model of Racial Identity (MMRI), the General and Personal Just World Scales, and the General System Justification Survey. Hierarchical linear regression was conducted, finding that nationalist ideology significantly predicted system justification and general just world belief.

Quantifying Parkinson’s disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol

IntroductionThe clinical assessment of Parkinson’s disease (PD) symptoms can present reliability issues and, with visits typically spaced apart 6 months, can hardly capture their frequent variability. Smartphones and smartwatches along...

The validity and IRT psychometric analysis of Chinese version of Difficult Doctor-Patient Relationship Questionnaire (DDPRQ-10)

ObjectiveThe doctor-patient relationship (DPR) plays a crucial role in the Chinese healthcare system, functioning to improve medical quality and reduce medical costs. This study examined the psychometric properties of the Chinese version of the Difficult Doctor-Patient Relationship Questionnaire (DDPRQ-10) among general hospital inpatients in China.MethodsThe research recruited 38 resident doctors responsible for 120 participants, and factor analyses were used to assess the construct validity of the scale. Convergent validity was evaluated by examining the correlation between DDPRQ-10 and depressive symptoms, burnout, and self-efficacy, using the Patient Health Questionnaire Depression Scale-9 item (PHQ-9), and the Maslach Burnout Inventory (MBI). Both multidimensional item response theory (MIRT) and unidimensional item response theory (IRT) frameworks were used to estimate the parameters of each item.ResultsThe Chinese version of DDPRQ-10 showed satisfactory internal consistency (Cronbach's alpha = 0.931), and fitted in a modified two-factor model of positive feelings and negative feelings (χ2/df = 1.494, GFI = 0.925, RMSEA = 0.071, SRMR = 0.008, CFI = 0.985, NFI = 0.958, NNFI = 0.980, TLI = 0.980, IFI = 0.986). Significant correlations with PHQ-9 with DDPRQ-10 and both subscales were revealed (r = 0.293 ~ 0.333, p < .001), while DDPRQ-10 score also significantly correlated with doctors’ MBI score (r = -0.467, p < .001). The MIRT model of full scale and IRT models of both subscales showed high discrimination of all items (a = 2.30 ~ 10.18), and the test information within the range of low-quality relationship was relatively high.ConclusionThe Chinese version of DDPRQ-10 displayed satisfactory reliability and validity and thus was appropriate for measuring the DPR in Chinese medical settings.