Unidimensional Model Research Articles

The Reflective Functioning Questionnaire-Revised- 7 (RFQ-R-7): A new measurement model assessing hypomentalization.

Although it is a widely used questionnaire, limitations regarding the scoring procedure and the structural validity of the eight-item Reflective Functioning Questionnaire (RFQ-8) were raised. The present study aimed to examine further the latent dimensionality of the RFQ-8 and to examine linear and non-linear associations between mentalization difficulties and maladaptive psychological characteristics. Data from two separate representative samples of young adults (N = 3890; females: 51.68%; mean age: 27.06 years [SD = 4.76]) and adults (N = 1385; females: 53.20%; mean age: 41.77 years [SD = 13.08]) were used. In addition to the RFQ-8, standardized questionnaires measured the levels of impulsivity, sensation seeking, rumination, worry and well-being. Confirmatory factor analysis (CFA) was used to test the model fit of competing measurement models. CFA revealed that a revised, seven-item version of the RFQ (RFQ-R-7) with a unidimensional structure showed the most optimal levels of model fit in both samples. Impulsivity, sensation seeking, rumination and worry consistently presented significant, positive, linear associations with general mentalization difficulties in both samples. Significant quadratic associations were also identified, but these relationships closely followed the linear associations between the variables and increased only marginally the explained variance. The supported unidimensional measurement model and the associations between the general mentalization difficulties factor and maladaptive psychological characteristics indicated that the RFQ-R-7 captures a dimension of hypomentalization ranging between low and high levels of uncertainty. Increasing levels of hypomentalization can indicate a risk for less adaptive psychological functioning. Further revisions of the RFQ-8 might be warranted in the future to ensure adequate measurement for hypermentalization.

Rasch validation of the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) in community-dwelling adults

BackgroundWith the ongoing global COVID-19 pandemic and the recent political divide in the United States (US), there is an urgent need to address the soaring mental well-being problems and promote positive well-being. The Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) measures the positive aspects of mental health. Previous studies confirmed its construct validity, reliability, and unidimensionality with confirmatory factor analysis. Six studies have performed a Rasch analysis on the WEMWBS, and only one evaluated young adults in the US. The goal of our study is to use Rasch analysis to validate the WEMBS in a wider age group of community-dwelling adults in the US.MethodsWe used the Rasch unidimensional measurement model 2030 software to evaluate item and person fit, targeting, person separation reliability (PSR), and differential item functioning (DIF) for sample sizes of at least 200 persons in each subgroup.ResultsAfter deleting two items, the WEMBS analyzed in our 553 community-dwelling adults (average age 51.22 ± 17.18 years; 358 women) showed an excellent PSR = 0.91 as well as person and item fit, but the items are too easy for this population (person mean location = 2.17 ± 2.00). There was no DIF for sex, mental health, or practicing breathing exercises.ConclusionsThe WEMWBS had good item and person fit but the targeting is off when used in community-dwelling adults in the US. Adding more difficult items might improve the targeting and capture a broader range of positive mental well-being.

Research skills for university students' thesis in E-learning: Scale development and validation in Peru

BackgroundThe aims of the study was to evaluate the psychometric properties and to characteristics of a scale on research skills as well as to characterize the experience of university thesis students using information databases (i.e., Scopus or Web of Science) and bibliographic reference managers. MethodsA sample of 1598 university students from five departments, acroos the different campuses of one Peruvian university. The psychometric properties of the instrument were evaluated using factor analysis and measurement invariance according to sex and age groups. In addition, an internal consistency analysis was conducted for scale reliability using Cronbach's alpha, ordinal alpha, and the omega index. ResultsOur study identified that the unidimensional model with correlated errors showed adequate indicators of reliability and goodness of fit, with the exception of the RMSEA, which shows values higher than 0.08. Measurement invariance by sex and age group was present. The majority of university students in E-learning showed use of the bibliographic manager Mendeley (52.13%), low ability to use information databases such as Scopus (22.24%) or Web of Science (17.26%), and the least skilled research skills were in formulating the problem, objectives, and hypotheses (51.63%) and carrying out data analysis and processing using statistical techniques (49.37%). ConclusionsThe conclusions of the study were that the 8-item research skills instrument presents acceptable psychometric indicators in Peruvian university students in thesis courses. Likewise, a scarce use of global databases, the approach to the research topic, and carrying out its statistical processing.

Psychometric properties of the Persian version of the pandemic grief scale

This study evaluated the Persian version of the Pandemic Grief Scale (PGS) psychometric properties in a sample of 473 people who have suffered the loss of a loved one due to the COVID-19 pandemic. The scale was internally consistent with a Cronbach’s alpha of 0.86. The PGS found a positive and significant correlation between the Patient Health Questionnaire-4 (PHQ-4) and Work and Social Adjustment Scale (WSAS). Furthermore, the unidimensional model had a good fit. Overall, the PGS showed good psychometric properties in the Iranian population.

The development and validation of a new resilience inventory based on inner strength

There are a number of resilience scales with good psychometric properties. However, the various scales differ in their item content in accordance with the model of resilience the developer had in mind. Culture is one of the reasons for the difference. Thailand, one of the Buddhist cultures, has a different view on resilience compared with Western culture. This study aimed to develop and validate a resilience inventory created based on the inner strength concept using a confirmatory factor analysis (CFA) and Rasch measurement model. The resilience inventory (RI) was developed by creating new items representing inner strengths attributed to resilience. The inner strength was adopted to form the resilience construct, including perseverance, wisdom, patience, mindfulness, loving-kindness and equanimity. In addition, face and content validity were examined by experts in both mental health and Buddhism. The final RI comprised nine items with a 5-point Likert-type scale. The RI-9 was completed by 243 medical students who participated in the study, along with other measurements, i.e., Inner Strength-Based Inventory (iSBI), measuring the ten characteristics of perfection or inner strength, and the Core Symptom Index, measuring anxiety, depression and somatization symptoms. CFA, internal consistency and the Polytomous Rasch rating model were used to investigate the RI-9 construct validity. The mean age of the participants was 22.7 years (SD, 0.8); one-half were male (50%). The RI-9 construct demonstrated item hierarchy as follows: perseverance, patience (tolerance), mindfulness and equanimity, wisdom and loving-kindness. CFA showed that the unidimensional model fitted the data well. Rasch analysis showed no misfitting items and local dependence. The reliability of the person and item was good, and no disordered threshold was observed. Two items were found to exhibit differential item functioning due to sex. RI-9 scores were significantly related to all ten strengths from the iSBI, whereas they were negatively related to depression, anxiety, somatization and interpersonal difficulties. The RI-9 demonstrated validity and reliability. It constitutes a promising tool for outcome assessment in nonclinical populations. Further investigation on external validity as well as psychometric validation in other different cultures, should be encouraged.

Psychometric properties of a Greek translation of the Functionality Appreciation Scale (FAS) in adults from the Republic of Cyprus

The Functionality Appreciation Scale is a widely used instrument for the measurement of an individual’s appreciation of their body for what it can do and is capable of doing (i.e., functionality appreciation). In the present study, we examined the psychometric properties of a novel Greek translation of the FAS in Cypriot adults. A total of 448 women and 345 men from the Republic of Cyprus completed the FAS, as well as validated measures of body appreciation, appearance evaluation, and symptoms of disordered eating, and self-esteem. Exploratory and confirmatory factor analyses supported a unidimensional model of FAS scores, with all 7 items retained. Scores achieved scalar invariance across gender, with the gender difference in FAS scores not reaching significance. FAS scores were also found to have adequate composite reliability and convergent (significant associations with body appreciation, appearance evaluation, and symptoms of disordered eating) and concurrent validity (significant associations with self-esteem). Finally, functionality appreciation predicted self-esteem once the effects of all other variables had been accounted for, supporting incremental validity. Overall, these results suggest that the Greek FAS is a psychometrically valid tool for the assessment of functionality appreciation in adults from Cyprus.

Investigating the Construct Validity and Reliability of the Test of Motor Competence Across Iranians' Lifespan.

Motor competence (MC) has been extensively examined in children and adolescents, but has not been studied among adults nor across the lifespan. The Test of Motor Competence (TMC) assesses MC in people aged 5-85years. Among Iranians, aged 5-85years, we aimed to determine the construct validity and reliability of the TMC and to examine associations between TMC test items and the participants' age, sex, and body mass index (BMI). We conducted confirmatory factor analysis (CFA) to evaluate the TMC's factorial structure by age group and for the whole sample. We explored associations between the TMC test items and participant age, sex, and BMI using a network analysis machine learning technique (Rstudio and qgraph). CFA supported the construct validity of a unidimensional model for motor competence for the whole sample (RMSEA = 0.003; CFI = 0.998; TLI = 0.993) and for three age groups (RMSEA <0.08; CFI and TLI >0.95). Network analyses showed fine motor skills to be the most critical centrality skills, reinforcing the importance of fine motor skills for performing and participating in many daily activities across the lifespan. We found the TMC to be a valid and reliable test to measure MC across Iranians' lifespan. We also demonstrated the advantages of using a machine learning approach via network analysis to evaluate associations between skills in a complex system.

A Psychometric Validation of the Korean Version of Disaster Response Self-Efficacy Scale for Nursing Students.

Nurses are very important healthcare providers in disaster situations, and from undergraduate nursing students to professional registered nurses, such practitioners should focus on strengthening their disaster-response-related self-efficacy and competency. The purpose of this study was to develop a Korean version of the Disaster Response Self-Efficacy Scale (DRSES-K) and evaluate its psychometric properties. The DRSES was translated into Korean and developed based on the translation and adaptation of instruments suggested by the World Health Organization. Data were collected from 30 October to 23 November 2020. A total of 209 undergraduate nursing students participated in this study. Psychometric properties were assessed using the programs SPSS/WIN 29.0, AMOS 26.0, and Winsteps 3.68.2, with which Rasch model analysis was carried out. The DRSES-K fit was sufficiently suitable for the unidimensional Rasch model with acceptable goodness of fit (χ2/df = 2.20 (p < 0.001), CFI = 0.92, IFI = 0.92, TLI = 0.91, AGFI = 0.82, and RMSEA = 0.07). The DRSES-K was significantly correlated with the measure of preparedness for disaster response, so concurrent validity was satisfied. The findings in this study suggested that the DRSES-K is a scale with verified validity and reliability. It is expected that the DRSES-K will be used for disaster nursing education to strengthen the competency of undergraduate nursing students.

Mixture-modelling-based Bayesian MH-RM algorithm for the multidimensional 4PLM.

Several recent works have tackled the estimation issue for the unidimensional four-parameter logistic model (4PLM). Despite these efforts, the issue remains a challenge for the multidimensional 4PLM (M4PLM). Fu et al. (2021) proposed a Gibbs sampler for the M4PLM, but it is time-consuming. In this paper, a mixture-modelling-based Bayesian MH-RM (MM-MH-RM) algorithm is proposed for the M4PLM to obtain the maximum a posteriori (MAP) estimates. In a comparison of the MM-MH-RM algorithm to the original MH-RM algorithm, two simulation studies and an empirical example demonstrated that the MM-MH-RM algorithm possessed the benefits of the mixture-modelling approach and could produce more robust estimates with guaranteed convergence rates and fast computation. The MATLAB codes for the MM-MH-RM algorithm are available in the online appendix.

A thorough investigation of the bifactor model of psychopathology in a representative birth cohort: Testing internal and predictive validity to inform models of comorbidity.

This study used symptom dimensions reflecting DSM-V internalizing, externalizing, eating disorders, and substance use (SU) and related problems to thoroughly investigate the structure of psychopathology in mid-adolescence (15 and 17 years, N = 1,515, 52% female). Compared to other hierarchical configurations (unidimensional, correlated factors, or higher-order model), a bifactor model of psychopathology wherein all first-order symptom dimensions loaded onto a second-order general psychopathology factor (P factor) and one of three, second-order specific internalizing, externalizing, or SU factors, best captured the structure of the psychopathology in mid-adolescence. This bifactor model was then used to predict several distinct mental health disorders and alcohol use disorder (AUD) at 20 years, via a structural equation model (SEM). The P factor (bifactor model) was associated with all but one outcome (suicidal ideation without an attempt), at 20 years. Controlling for the P factor, there were no additional, positive, temporal cross-associations (i.e., between mental health (mid-adolescence) and AUD at 20 years, or between SU (mid-adolescence) and mental health problems at 20 years). These results are bolstered by findings from a well-fitting correlated factors model. Namely, when mid-adolescent psychopathology was modeled using an adjusted correlated factors model, associations with outcomes at 20 years were largely masked, with no significant partial, temporal cross-associations. Thus, collectively, findings indicate that comorbidity between SU and mental health in youth may be largely attributable to an underlying liability to experience both problems (i.e., P factor). Ultimately, results support targeting the common liability to psychopathology in the prevention of later mental health problems and AUD. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Heywood Cases in Unidimensional Factor Models and Item Response Models for Binary Data.

Heywood cases are known from linear factor analysis literature as variables with communalities larger than 1.00, and in present day factor models, the problem also shows in negative residual variances. For binary data, factor models for ordinal data can be applied with either delta parameterization or theta parametrization. The former is more common than the latter and can yield Heywood cases when limited information estimation is used. The same problem shows up as non convergence cases in theta parameterized factor models and as extremely large discriminations in item response theory (IRT) models. In this study, we explain why the same problem appears in different forms depending on the method of analysis. We first discuss this issue using equations and then illustrate our conclusions using a small simulation study, where all three methods, delta and theta parameterized ordinal factor models (with estimation based on polychoric correlations and thresholds) and an IRT model (with full information estimation), are used to analyze the same datasets. The results generalize across WLS, WLSMV, and ULS estimators for the factor models for ordinal data. Finally, we analyze real data with the same three approaches. The results of the simulation study and the analysis of real data confirm the theoretical conclusions.

An Intuitive Derivation of Beam Models of Arbitrary Order

This article presents a new beam model that employs a recursive derivation procedure that enables the user to set the order of the governing differential equations as an input parameter, without the need for ad hoc assumptions or methodologies. This article employs a novel system of kinematic variables, section constants, and section functions that facilitate the development of higher-order beam models that retain a clear philosophical link to classical beam models such as Euler–Bernoulli beam theory and Timoshenko beam theory. The present beam model is a type of equivalent single layer beam model, wherein section constants are used to model the global stiffness characteristics of the beam, and section functions are used to recover sectional fields of displacements, strains, and stresses. The present beam model is solved for several example beams, and the results are compared to the results of finite element analyses. It is shown that the present beam model can accurately predict the deformed shapes and stress fields of each of the example beams. This article also reveals an interesting peculiarity of the elastic potential energy that pertains to any unidimensional beam model that is governed by differential equations that are of finite order.

Development and Validation of the Awareness Outcomes Measure (AOM) Using Rasch Approach

ObjectivesAwareness is a key component of concepts related to well-being, such as mindfulness and authenticity. Similarly, interventions to enhance mindfulness and well-being often focus on developing awareness. But measuring the effect of awareness development represents a challenge due to the lack of reliable and valid measures focused specifically on awareness outcomes. This study aimed to develop and validate the Awareness Outcomes Measure (AOM) using modern Rasch methodology.MethodThe measure was developed from Self-Awareness Outcomes Questionnaire (SAOQ) items, drawn from previous research with awareness-development experts. A partial credit Rasch model was applied to examine the psychometric properties of the AOM with a combined sample of 713 participants from three English-speaking countries.ResultsThe 21-item AOM met expectations of the unidimensional Rasch model. It is a reliable and psychometrically sound instrument, invariant across sex, country, and age, designed to measure the outcomes of awareness development. Person-item thresholds demonstrated excellent coverage of awareness outcomes, and we developed an algorithm for ordinal-to-interval transformations presented in a table to further enhance precision of the AOM.ConclusionsIn this study, we have developed and validated the AOM, providing researchers and practitioners with a robust measure of awareness outcomes that is suitable for use in a range of populations.

Daily living skills scale: Development and preliminary validation of a new, open-source assessment of daily living skills.

Autistic individuals and individuals with a range of other neurodevelopmental conditions (NDD) often present with lower levels of daily living skills (DLS) when compared to their neurotypical peers. Importantly, lower levels of DLS have been linked to a range of negative outcomes, including lower rates of post-secondary education, lower employment rates, and higher daily support needs across autism and NDD. However, there are currently no open-source informant-reported instruments for capturing key aspects of DLS. This study describes the development, refinement, and initial psychometric evaluation of a new, relatively brief (53-item). Daily Living Skills Scale (DLSS) in a sample of 1,361 children aged 2-17 years, Confirmatory Factor Analysis demonstrated an excellent fit of unidimensional model to the data (CFI = 0.953, TLI = 0.951, RMSEA = 0.073 [95% CI: 0.071-0.074]). The single-factor CFA model showed evidence of measurement invariance of factor loadings, thresholds, and residual variance (strict invariance) across sex, age, race, and ethnicity. Model reliability and internal consistency were excellent (ω = 0.98; α = 0.97). Conditional reliability estimates indicated very good reliability (= 0.80) for the total DLS scale from very low (θ = -4.2) to high (θ = +2.4) scores. Conceptually derived self-care, homecare, and community participation subscales also showed strong reliability and internal consistency. With further replication, the EFS has excellent potential for wide adoption across research and clinical contexts.

Global Self-Esteem in Adolescents: Mixed Method Research

The aim of the research is to determine the level of global self-esteem of adolescents in Turkey. The study was carried out using a mixed model. In the quantitative part of the research the scale was applied to 361 students. The uni-dimensional model consisting of six items was found to be compatible in confirmatory factor analysis. In order to examine the psychometric properties of the scale , internal consistency, item and factor analysis studies were carried out. As a result of the reliability analysis, the Cronbach Alpha coefficient for the whole scale was found to be .78. According to the confirmatory factor analysis results, the uni-dimensional model of the scale was found to be suitable for the Turkish sample. ( Fit indices obtained as a result of confirmatory factor analysis of the scale; x² =29.89, sd =9, p =0.000, RMSEA=.08, NFI=.96, NNFI=.96, CFI=.97, IFI=.97, RFI= .94, AGFI=.94, GFI=.97, and SRMR=.37 .). As a result of the study, the scale was found to be reliable and valid as a tool used to measure the internalization of global self-esteem of students in their education processes in Turkey . In the qualitative part of the study, five questions prepared by the researchers were directed to 25 students. The results of the research were discussed within the scope of the literature.

Item Response Analysis of the Financial Capacity Instrument-Short Form.

The Financial Capacity Instrument-Short Form (FCI-SF) is a performance-based measure of everyday financial skills that takes 15min to administer. Although the FCI-SF has demonstrated excellent psychometric properties, advanced psychometric methods such as item response theory (IRT) can provide important information on the performance of individual test items in measuring financial capacity and in distinguishing between healthy and cognitively impaired individuals. Participants were 272 older adults diagnosed with mild cognitive impairment (MCI) and 1,344 cognitively healthy controls recruited from the Mayo Clinic Study of Aging at the Mayo Clinic in Rochester, Minnesota and also from the Cognitive Observations in Seniors study at the University of Alabama at Birmingham. Participants in each study were administered the FCI-SF, which evaluates coin/currency calculation, financial conceptual knowledge, use of a checkbook/register, and use of a bank statement. A unidimensional two-parameter logistic model best fit the 37 FCI-SF Test items, and most FCI-SF items fit the unidimensional two-parameter model well. The results indicated that all FCI-SF items robustly distinguished cognitively healthy controls from persons with MCI. The study results showed that the FCI-SF performed well under IRT analysis, further highlighted the psychometric properties of the FCI-SF as a valid and reliable measure of financial capacity, and demonstrated the clinical utility of the FCI-SF in distinguishing between cognitively normal and cognitively impaired individuals.

Do Cognitive Appraisals Explain the High Reliability of the &amp;lt;i&amp;gt;Balance Between Risks and Resources&amp;lt;/i&amp;gt; (&amp;lt;i&amp;gt;BR&amp;lt;/i&amp;gt;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;)?

Background: The etiological model of parental burnout, that is, the Balance Between Risks and Resources (BR2) (Mikolajczak & Roskam, 2018), posits that the syndrome results from a chronic imbalance between parental stress-aggravating and parental stress-relieving factors. Empirical evidence which has accumulated thus far suggests further investigating the internal structure of BR2. Goals: The present study examines 1) the reliability indexes of the BR2 instrument and 2) further investigates whether the instrument would host a general latent factor which would capture the parent’s cognitive appraisals. Method: A sample of 1473 parents took part in the study. Two factor models were tested: a unidimensional model (with the subjective perception as the unique latent structure to BR2 items) and a bifactor model composed of one general latent factor (i.e., the parent’s subjective perception) and several specific latent factors which correspond to the different factors measured in BR2 (e.g., emotional competence, the relationship between the parent and the child, co-parenting, etc.). Results: Findings showed that the unidimensional model poorly fitted the data and that the bifactor model failed to explain the dataset (no convergence achieved). Conclusion: Parents’ answers to BR2 are not underlain by a common and general tendency to interpret their parenting situation in either a general positive or a general negative way.

Translating measurement into practice: Brazilian norms for the Patient Health Questionnaire (PHQ-9) for assessing depressive symptoms.

To provide practical norms for measuring depressive symptoms using the Patient Health Questionnaire 9 (PHQ-9) in Brazil using a state-of-art psychometrics analysis. We used a large and representative Brazilian dataset from the 'Pesquisa Nacional de Saúde - 2019'(PNS-2019), which includes 90,846 Brazilian citizens. First, to assess the scale structure, we assessed the unidimensional model using Confirmatory Factor Analysis (CFA). Second, we used Item Response Theory (IRT) to characterize depressive symptoms´ distribution. Then, we linked summed- and meanbased PHQ-9 scores with the IRT-based score by using generalized additive models. Finally, we generated percentiles, T scores, and a newly developed score, called D scores (decimal scores), to describe the PHQ-9 norms for Brazilian population. CFA revealed a good fit to the unidimensional model, showing to be invariant to age and sex. IRT captured item-level information of the latent trait (reliable from 1 to 3 standard deviations above the mean). Brazilian norms were presented using summed-, T-scores, and D-scores. This is the first study to define Brazilian´s norms for the PHQ-9 among a large representative sample, using robust psychometric tools. More precise PHQ-9 scores are now available and may be widely used in primary and specialized clinical care settings.

The modelling of layered rocks using a numerical homogenisation technique and an artificial neural network

A method of creating a constitutive model of layered rocks based on an artificialneural network (ANN) is reported in this work. The ANN gives an implicitconstitutive function ∑ ∑n n1 F( E, ), relating the new state of homogenizedstresses n 1 with the old state Σn and with the increment of homogenized strains. The first step is to repeatedly run a strain- controlled homogenisation onan uni-dimensional finite element model of a periodic cell with elastic-plasticmodels (Drucker-Prager) of the components. Paths are created in ( , ) space,from which, a set of patterns is formed to train the ANN. A description of how toprepare this data and a discussion on ANN training issues are presented. Finally,the procedure based on trained ANN is put into a finite-element code (ZSoil.PC)as a user-delivered constitutive function. The approach is verified by comparingthe results of the developed model basing on ANN with a direct (single-scale)analysis, which showed acceptable accuracy.

Emotional numbing: A key construct in the assessment of mental health during COVID-19 pandemic

Emotional numbing is a debilitating response to traumatic stress, but no scale has yet to be validated for use among Chinese populations. The aim of the study is to revise and validate a brief measurement of emotional numbing and test the clinical significance of emotional numbing among Chinese adults. A total of 3,230 participants enrolled in this study during a city-wide lockdown caused by the COVID-19 pandemic in Shanghai, China. The general subscale of the Emotional Reactivity and Numbing Scale (ERNS) was used to assess emotional numbing. Cronbach's αs were calculated to examine each item’s contribution to the measurement reliability. A unidimensional graded response model was estimated to evaluate the item-level performance and validity from an item-response theory (IRT) perspective. Informed by the reliability test and the IRT analysis, a four-item ENRS-C scale was found to be a reliable and valid measurement. Regression models were used to examine pandemic-related stressors and mental health correlates of emotional numbing. Emotional numbing was associated with intimate partner violence, bereavement, stressful life events and mental health outcomes including self-reported depression symptoms, anxiety symptoms, psychological well-being, and sleeping problems. This study highlights emotional numbing as a mental health condition associated with major life stressors and has significant clinical and functional implications. Additional studies are needed to investigate how emotional numbing in China is shaped by sociocultural contexts that discourage the expression of socially disruptive emotions.