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The Psychache Scale (PAS) is a questionnaire measuring trait-level psychological pain with satisfactory internal consistency and a strong correlation with suicidal ideation severity. However, inconsistent results have been reported for the PAS dimensionality. In the present study we used a non-parametric item response theory model, called Mokken Scale Analysis (MSA), to refine an unidimensional version of the PAS. The sample was composed of 400 Italian adults (312 females and 88 males) nonrandomly recruited from the general population. A final set of 10 items satisfied the unidimensionality, local independence, and monotonicity assumptions, although it did not satisfy the double monotonicity assumption. The internal consistency of the PAS-10 was satisfactory (ordinal alpha = 0.98, ω = 0.97, and AVE = 0.82), and ROC curves analysis indicated good discriminant validity when differentiating participants with higher suicide risk from those with lower suicide risk. Structural invariance between nonclinical and clinical samples was not investigated, and the presence of suicide ideation and behaviors was assessed with self-report measures with potential under-reporting of the phenomenon. The PAS-10 resulted to be a potentially valid and unidimensional measure of psychological pain (i.e., psychache) that could be used to screen adults at higher risk for suicide. Future studies are needed to investigate psychometric properties of the PAS-10 in clinical samples and to replicate results in independent samples. • PAS-10 has good scalability and satisfies the monotonic homogeneity model. • PAS-10 can discriminate individuals with higher suicide ideation severity. • PAS-10 is strongly correlated with lifetime suicide risk and depression severity. [ABSTRACT FROM AUTHOR]

Background/Objectives: The growing concern about the environmental impacts of consumption has led to the emergence of so-called "eco-guilt"—a psychological construct reflecting the guilt felt by individuals about the environmental consequences of their choices, which plays a prominent role among the factors influencing pro-environmental behavior. Although eco-guilt has already emerged in other service sectors, such as tourism, and general scales exist to measure it, no such scale exists in the context of food consumption. The aim of this research is to develop and validate a scale to measure eco-guilt related to food consumption. Methods: To create the scale in an objective way, we used the Sustainable Development Goals as a framework. Data were collected from university students; a questionnaire was completed online by 367 respondents. The responses were analyzed from several different perspectives, using multiple methods following the principle of triangulation. For the data analysis, the Psych and Mokken packages of R software (version 4.4.0) were used. Results: The constructed scale was based on 13 items. An overview of the reliability of the scale was provided using various indicators (e.g., Cronbach's α = 0.86, ωh = 0.63, ωH asymptotic = 0.71, and ωt = 0.89). Based on the analyses, we proposed a reduced form with nine items for the measurement of food-related eco-guilt. Conclusions: The results of this research provide a scale to help understand what motivates consumers to make more sustainable consumption choices. Moreover, the scale is relevant to future research focused on understanding how guilt influences future food choices. [ABSTRACT FROM AUTHOR]

Estimating the number of latent factors underlying a set of dichotomous items is a major challenge in social and behavioral research. Mokken scale analysis (MSA) and exploratory graph analysis (EGA) are approaches for partitioning measures consisting of dichotomous items. In this study we perform simulation-based comparisons of two EGA methods (EGA with graphical least absolute shrinkage and selector operator; EGAtmfg with triangulated maximally filtered graph algorithm), two MSA methods (AISP: automated item selection procedure; GA: genetic algorithm), and two widely used factor analytic techniques (parallel analysis with principal component analysis (PApc) and parallel analysis with principal axis factoring (PApaf)) for partitioning dichotomous items. Performance of the six methods differed significantly according to the data structure. AISP and PApc had highest accuracy and lowest bias for unidimensional structures. Moreover, AISP demonstrated the lowest rate of misclassification of items. Regarding multidimensional structures, EGA with GLASSO estimation and PApaf yielded highest accuracy and lowest bias, followed by EGAtmfg. In addition, both EGA techniques exhibited the lowest rate of misclassification of items to factors. In summary, EGA and EGAtmfg showed comparable performance to the highly accurate traditional method, parallel analysis. These findings offer guidance on selecting methods for dimensionality analysis with dichotomous indicators to optimize accuracy in factor identification.

Estimating the number of latent factors underlying a set of dichotomous items is a major challenge in social and behavioral research. Mokken scale analysis (MSA) and exploratory graph analysis (EGA) are approaches for partitioning measures consisting of dichotomous items. In this study we perform simulation-based comparisons of two EGA methods (EGA with graphical least absolute shrinkage and selector operator; EGAtmfg with triangulated maximally filtered graph algorithm), two MSA methods (AISP: automated item selection procedure; GA: genetic algorithm), and two widely used factor analytic techniques (parallel analysis with principal component analysis (PApc) and parallel analysis with principal axis factoring (PApaf)) for partitioning dichotomous items. Performance of the six methods differed significantly according to the data structure. AISP and PApc had highest accuracy and lowest bias for unidimensional structures. Moreover, AISP demonstrated the lowest rate of misclassification of items. Regarding multidimensional structures, EGA with GLASSO estimation and PApaf yielded highest accuracy and lowest bias, followed by EGAtmfg. In addition, both EGA techniques exhibited the lowest rate of misclassification of items to factors. In summary, EGA and EGAtmfg showed comparable performance to the highly accurate traditional method, parallel analysis. These findings offer guidance on selecting methods for dimensionality analysis with dichotomous indicators to optimize accuracy in factor identification. [ABSTRACT FROM AUTHOR]

Scores on the Patient Health Questionnaire–9 (PHQ-9) are frequently used to assess depression both in research and in clinical practice. The aim was to examine the validity of the PHQ-9 sum score by using Mokken scale analysis (Study I) and cognitive interviews (Study II) on the Icelandic version of PHQ-9. A primary care sample of 618 individuals was used in Study I. The results indicate that the PHQ-9 items are not close enough to perfectly unidimensional for their sum score to accurately order people on the depression severity dimension. In Study II, the sample consisted of 53 individuals, with 28 having a history of depression and 25 not. The findings reveal a number of issues concerning respondents' use of the PHQ-9. No systematic differences were found in the results of the two groups. The PHQ-9 sum score should thus be interpreted and used with great care. We provide scale revision recommendations to improve the quality of PHQ-9. [ABSTRACT FROM AUTHOR]

Assessment literacy's vital role in faculty effectiveness within higher education lacks sufficient tools for measuring faculty attitudes on this matter. Employing a sequential mixed-methods approach, this study utilized the theory of planned behavior to develop the Assessment Literacy Attitude Scale (ALAS) and evaluate its psychometric properties within the U.S. higher education context. The qualitative phase involved a literature review of relevant studies and existing selfreport measures, interviews with stakeholders, and panel reviews to shape initial item development. Following the establishment of a conceptual foundation and a comprehensive overview of the scale's construction, our study advanced to the quantitative stage that involves factor analytical and item response theory approaches using data from 260 faculty across three public universities in the U.S. Exploratory factor analysis (EFA) was employed initially to obtain preliminary insights into the scale's factorial structure and dimensionality. Confirmatory factor analysis (CFA) was subsequently applied with separate data and the findings largely supported the conclusions from the EFA. Exploratory and confirmatory factor analyses resulted in 15 items loading across two factors in a good model fit range. Finally, we used nonparametric item response theory (IRT) techniques based on Mokken Scale Analysis (MSA) to evaluate individual items for evidence of effective psychometric properties to support the interpretation of ALAS scores, including monotonicity, scalability, and invariant item ordering. The newlydeveloped scale shows promise in assessing faculty attitudes toward enhancing their assessment literacy. [ABSTRACT FROM AUTHOR]

AbstractThe purpose of this study was to consider how researchers can incorporate item attributes into nonparametric person fit analysis for the purpose of providing additional insight into person fit beyond what is available using typical total-scale person fit approaches. Inspired by parametric person fit statistics that consider patterns of residuals at the total-scale, between-item-attribute, and within-item-attribute levels, we proposed simple adaptations to standard Mokken Scale Analysis (MSA) person fit analysis techniques to reflect these three levels of person fit analysis. We demonstrated the technique using a secondary analysis of survey data related to learning motivation and considered how the results may be interpreted in an affective assessment context. We used a simple exploratory simulation study to consider the techniques under a wider range of conditions. Overall, the results suggested that it is possible to incorporate item attributes into MSA person fit analysis at the total-scale, between-item-attribute, and within-item attribute levels, and that each set of analyses provides a unique perspective on person fit. [ABSTRACT FROM AUTHOR]

In recent years, research on disordered gaming has grown substantially with researchers developing different psychometric tools for assessing it. Two of the most prominent assessment tools are the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) and the Gaming Disorder Test (GDT), which evaluate disordered gaming under the American Psychiatric Association (APA) and the World Health Organization (WHO) frameworks, respectively. The main aim of this study was to assess and compare the scalability, reliability, and validity of both scales to determine if they effectively assess disordered gaming in a normative sample, through the Mokken Scale Analysis (MSA). A sample of 605 participants (42.31 % female, meanage = 23.98 years, SD = 9.21 years) was recruited for the present study. Results showed that both the IGDS9-SF and GDT were unidimensional, with all items presenting latent monotonicity fitting in the Monotone Homogeneity Model (MHM). Item characteristic curves did not intersect and presented with adequate fit in the Double Monotonicity Model (DMM). These findings further support the psychometric adequacy of the IGDS9-SF and GDT, attesting to their suitability to assess disordered gaming.

AbstractMokken Scale Analysis (MSA) is a nonparametric approach that offers exploratory tools for understanding the nature of item responses while emphasizing invariance requirements. MSA is often discussed as it relates to Rasch measurement theory, which also emphasizes invariance, but uses parametric models. Researchers who have compared and combined MSA and Rasch approaches have generally concluded that these approaches offer complementary perspectives. However, researchers have not considered how the two approaches may provide insight related to examinee subgroups. Using a simulation and illustrative real data analysis, we propose an exploratory approach to integrating MSA and Rasch techniques to understand item fit as it relates to differences in item characteristics between examinee subgroups. Our results suggest that integrating complete-sample and subgroup-level MSA and Rasch model item fit analyses can provide insight into differences in item quality between subgroups. In some cases, misfit at the complete sample level corresponds to subgroup-related differences. On the other hand, fit at the complete sample level does not guarantee consistent measurement properties within subgroups. When subgroups are important for scale interpretation and use, our results suggest that conducting separate analyses within groups and considering their results with respect to those from the full sample may lend useful insight. [ABSTRACT FROM AUTHOR]

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Cognitive decline, particularly in dementia, presents complex challenges in early detection and diagnosis. While Item Response Theory (IRT) has been instrumental in identifying patterns of cognitive impairment through psychometric tests, its parametric models often require large sample sizes and strict assumptions. This creates a need for more adaptable, less demanding analytical methods. This study aimed to evaluate the effectiveness of Mokken scale analysis (MSA), a nonparametric IRT model, in identifying hierarchical patterns of cognitive impairment from psychometric tests. Using data from 1164 adults over 60 years old, we applied MSA to the orientation subscale of ACE‐III. Our analysis involved calculating scalability, monotone homogeneity, invariant item ordering (IIO) and response functions. The MSA effectively retrieved the hierarchical order of cognitive impairment patterns. Most items showed strong scalability and consistent patterns of cognitive performance. However, challenges with IIO were observed, particularly with items having adjacent difficulty parameters. The findings highlight MSA's potential as a practical alternative to parametric IRT models in cognitive impairment research. Its ability to provide valuable insights into patterns of cognitive deterioration, coupled with less stringent requirements, makes it a useful tool for clinicians and researchers. [ABSTRACT FROM AUTHOR]

Food cues are ubiquitous in today's environment; however, there is heterogeneity as to the extent to which these cues impact eating behavior among individuals. This study examines the validity and reliability of the Food Cue Responsivity Scale (FCRS) to assess responsivity to distinct types of food cues. Items gathered from existing measures were combined in the FCRS to reflect two subdomains, uncontrolled eating behavior and cognitive rumination. The criterion validity of the FCRS was established using a paradigm that assesses psychophysiological responsivity to a craved food among adults with overweight or obesity. Higher overall FCRS scores were associated with greater physiological responsivity to food exposures. These findings may help identify specific phenotypes of individuals with overweight or obesity with high responsivity to food cues, which could be used to understand overeating and response to weight-loss programs.

Abstract This study examined the psychometric and structural properties of the Polish and Ukrainian versions of the Occupational Depression Inventory (ODI). We relied on two samples of Polish employees (N Sample1 = 526, 47% female; N Sample2 = 164, 64% female) and one sample of Ukrainian employees (N Sample3 = 372, 73% female). In all samples, the ODI exhibited essential unidimensionality and high total-score reliability (e.g., McDonald’s omegas > 0.90). The homogeneity of the scale was strong (e.g., 0.59 ≤ scale-level Hs ≤ 0.68). The ODI’s total scores thus accurately ranked individuals on a latent occupational depression continuum. We found evidence of complete measurement invariance across our samples, a prerequisite for between-group comparisons involving observed scores. Looking into the criterion validity of the ODI, we found occupational depression to correlate, in the expected direction, with resilience and job-person fit in six areas of working life—workload, control, rewards, community, fairness, and values. The prevalence of occupational depression was estimated at 5% in Sample 1, 18% in Sample 2, and 3% in Sample 3. Our findings support the use of the ODI’s Polish and Ukrainian versions. This study adds to a growing corpus of research suggesting that the ODI is a robust instrument.

Careless responding, where participants do not fully engage with item content, is pervasive in survey research. Left undetected, carelessness can compromise the interpretation and use of survey results, including information about participant locations on the construct, item difficulty, and the psychometric quality of the instrument. We present and illustrate a sequential procedure for evaluating response quality in survey research using indicators from Mokken scale analysis (MSA). We use a real data illustration and a simulation study to compare a sequential procedure to a standalone procedure. We also consider how identifying and removing responses with evidence of poor measurement properties affects item quality indicators. Results suggest that the sequential procedure was effective in identifying potentially problematic response patterns that may not always be captured by traditional methods for identifying careless responders but was not always sensitive to specific carelessness patterns. We discuss implications for research and practice. [ABSTRACT FROM AUTHOR]

AbstractResearchers frequently examine the effects of item attributes (i.e., item properties, item covariates, item formats) as part of item analysis for cognitive and affective assessments. In this study, we propose and illustrate item-explanatory Mokken Scale Analysis (MSA) as an exploratory nonparametric approach to examining item attributes based on invariance principles. We used real data and an illustrative simulation to demonstrate the approach under various conditions. Our results suggest that item-explanatory MSA provides practical and theoretical insight to support measurement research in a variety of contexts. Because of the emphasis on invariance, our approach can help researchers explore the impact of item characteristics on examinee responses and evaluate the degree to which item characteristics have a consistent interpretation for all examinees. We consider the implications of our findings for research and practice, along with directions for further investigation. [ABSTRACT FROM AUTHOR]

Nurse managers play a vital role in healthcare organizations, wielding the ability to substantially enhance work environments, foster nurses’ autonomy, and bolster retention within workplaces. In this context, this study focuses on the Nurse Manager Actions scale, aiming to evaluate its items’ scalability as well as the scale’s validity and reliability among nurses and nurse managers operating within the Italian healthcare context. The study protocol was not registered. To ensure linguistic and cultural alignment, an iterative and collaborative translation process was undertaken. Subsequently, a multi-center cross-sectional design was adopted. Using a web-survey approach, data were collected among 683 nurses and 188 nurse managers between August 2022 and January 2023. The Nurse Manager Actions scale was found to be a valid and reliable instrument in Italian after a Mokken Scale Analysis. For nurses (HT= 0.630, Molenaar–Sijtsma rho = 0.890), the scale included 6 items, while 11 items were confirmed for nurse managers (HT= 0.620, Molenaar–Sijtsma rho = 0.830). Nurse Manager Actions scale scores were correlated with increased satisfaction and decreased intention to leave for both nurses and nurse managers. The employed validation process enhanced the scale validity for use in Italy and provided a model for other researchers to follow when assessing similar measures in different populations. Measuring and empowering nurse manager actions in work contexts is essential to improve the general well-being and retention of nurses, especially in the current nursing shortage.

Studies on the dimensionality and factor structure of the Sense of Coherence-13 (SOC-13) scale have produced inconsistent results, and there is a need for comprehensive psychometric testing of the scale in different populations and using diverse methodologies. SOC refers to the individual’s ability to perceive life as comprehensible, manageable, and meaningful. The current study investigated the dimensionality of the SOC-13 through the use of confirmatory factor analysis (CFA), ancillary bifactor indices and item response theory in a sample of young adults in South Africa. Participants were students (n = 322) who completed the SOC-13, the Connor–Davidson Resilience Scale, the PTSD Checklist for DSM-5 and short forms of the Center for Epidemiological Studies Depression Scale, and the trait scale of the Spielberger State-Trait Anxiety Inventory. CFA indicated the best fit for a one-factor model, but the problematic parameter estimates raise concerns about the construct validity of the scale. Non-parametric item response theory (Mokken scale analysis [MSA]) identified limitations in the original 13-item version, suggesting a more dependable seven-item version (SOC-7). This revised scale exhibited strong psychometric characteristics and was consistent with the theoretical foundations that underpin the construct. We verified the unidimensional structure of the SOC with the more stringent parametric item-response theory (Rasch analysis) which confirmed that the seven-item SOC is unidimensional. Rasch analysis confirmed the measurement invariance of the SOC-13 in terms of gender and area of residence. The study suggests that a shorter seven-item version consisting of items from the three components of sense of coherence has comparative properties to the 13-item version but the evidence does not provide support for the use of the SOC-13 as a multidimensional measure. Research in the area of sense of coherence would benefit from further validation studies of both the original SOC-13 and the revised SOC-7, especially across populations and settings.

Currently, two-level Mokken scale analysis for clustered test data is being developed. This paper contributes to this development by providing model-fit procedures for two-level Mokken scale analysis. New theoretical insights suggested that the existing model-fit procedure from traditional (one-level) Mokken scale analyses can be used for investigating model fit at both level 1 (respondent level) and level 2 (cluster level) of two-level Mokken scale analysis. However, the traditional model-fit procedure requires some modifications before it can be used at level 2. In this paper, we made these modifications and investigated the resulting model-fit procedure. For two model assumptions, monotonicity and invariant item ordering, we investigated the false-positive count and the sensitivity count of the level 2 model-fit procedure, with respect to the number of model violations detected, and the number of detected model violations deemed statistically significant. For monotonicity, the detection of model violations was satisfactory, but the significance test lacked power. For invariant item ordering, both aspects were satisfactory.

Background. Role stress is linked to reduced work performance, diminished organizational commitment, increased intention to leave a job, and negative physical and mental health effects. Given the significant implications of role stress, researchers have sought to understand and quantify the concept. The Role Conflict and Ambiguity (RCA) scales are widely utilized in job stress research as the predominant measurement tools. They were originally conceptualized as consisting of two independent dimensions: role conflict and role ambiguity. Objective. This study advances the validation research of the RCA scales by exploring its dimensionality through Mokken Scale Analysis (MSA) and Classical Test Theory (CTT). Method. South African school teachers responded to the RCA scales, Maslach Burnout Inventory, and Teaching Satisfaction Scale. Confirmatory Factor Analysis (CFA) and MSA were employed for data analysis. Results. The research determined that a second-order model provided the optimal fit, indicating that role ambiguity and role conflict are subordinate dimensions within the overarching construct of role stress. Conclusion. The findings from the CFA and supplementary bifactor indices reinforce the view that the instrument comprises 13 items, which assess a general dimension of role stress along with two sub-dimensions: role conflict and role ambiguity. Such specificity may lead to more effective strategies to mitigate role-related stress, thereby enhancing overall employee well-being, job satisfaction, and organizational productivity.

In contemporary education settings, the expeditious advancement of mobile devices, wireless communications and network infrastructures has emerged as a crucial issue. Although mobile technology capabilities and affordances have attracted considerable attention, there is a lack of a valid scale for evaluating mobile teaching affordances. Therefore, this research sought to develop and validate a 36-item inventory of mobile teaching affordances. To accomplish this objective, 204 EFL teachers were selected for this research based on a convenience sampling method. The data was analysed using the Mokken scale analysis. The study results indicated that 10 out of 36 items should be deleted to optimise the utilisation of the data. Consequently, the study created a valid and reliable 26-item inventory that could be used to measure mobile teaching affordance in EFL or ESL teaching contexts. The research findings suggested that the newly created scale is an invaluable instrument for evaluating the perspectives of EFL teachers regarding the potential benefits of mobile teaching. Furthermore, it can effectively pinpoint areas where teachers may require further development in their understanding of and proficiency in utilising mobile teaching methods. These revelations can also act as a basis for developing instructional programmes aimed at empowering EFL teachers to seamlessly incorporate mobile devices into their pedagogical approaches, thereby enhancing their overall effectiveness. The study's findings can be used by teachers, learners and researchers in educational systems. [ABSTRACT FROM AUTHOR]

Studies on the dimensionality and factor structure of the Sense of Coherence-13 (SOC-13) scale have produced inconsistent results, and there is a need for comprehensive psychometric testing of the scale in different populations and using diverse methodologies. SOC refers to the individual's ability to perceive life as comprehensible, manageable, and meaningful. The current study investigated the dimensionality of the SOC-13 through the use of confirmatory factor analysis (CFA), ancillary bifactor indices and item response theory in a sample of young adults in South Africa. Participants were students (n = 322) who completed the SOC-13, the Connor–Davidson Resilience Scale, the PTSD Checklist for DSM-5 and short forms of the Center for Epidemiological Studies Depression Scale, and the trait scale of the Spielberger State-Trait Anxiety Inventory. CFA indicated the best fit for a one-factor model, but the problematic parameter estimates raise concerns about the construct validity of the scale. Non-parametric item response theory (Mokken scale analysis [MSA]) identified limitations in the original 13-item version, suggesting a more dependable seven-item version (SOC-7). This revised scale exhibited strong psychometric characteristics and was consistent with the theoretical foundations that underpin the construct. We verified the unidimensional structure of the SOC with the more stringent parametric item-response theory (Rasch analysis) which confirmed that the seven-item SOC is unidimensional. Rasch analysis confirmed the measurement invariance of the SOC-13 in terms of gender and area of residence. The study suggests that a shorter seven-item version consisting of items from the three components of sense of coherence has comparative properties to the 13-item version but the evidence does not provide support for the use of the SOC-13 as a multidimensional measure. Research in the area of sense of coherence would benefit from further validation studies of both the original SOC-13 and the revised SOC-7, especially across populations and settings. [ABSTRACT FROM AUTHOR]

Background: There are no psychometrically validated instruments available to measure motor skills of children with profound intellectual and multiple disabilities (PIMD). In this study, the construct validity and reliability (Rho) of the Motor Development List for children with PIMD (MDL-PIMD), a proxy-reported measure, was investigated. Methods: The MDL-PIMD was filled in by parents of 52 children with PIMD every six months over a period of two years. The items of the original MDL were categorised into subscales. A Mokken scale analysis for polytomous items was conducted for five subscales (Posture, Locomotion, Reaching, Grabbing and Facial Actions). Results: Several items were deleted to improve scalability. All scales showed good scalability (range scale H.66-.78) and reliability (range Rho.92-.98). Conclusions: The MDL-PIMD seems to be a valid and reliable instrument for assessing the motor skills of children with PIMD, although more research is needed to confirm the factorial structure. [ABSTRACT FROM AUTHOR]

Careless responding is a pervasive issue that impacts the interpretation and use of responses from survey instruments. Researchers have proposed numerous useful methods for detecting carelessness in survey research, including relatively simple summary statistics such as the frequency of adjacent responses in the same category (e.g., "long-string" analysis) and outlier statistics (e.g., Mahalanobis distance). Researchers have also used methods based on item response theory (IRT) models to identify examinees whose response patterns are unexpected given item parameters. However, researchers have not fully considered the use of nonparametric IRT methods based on Mokken scale analysis (MSA) to detect carelessness in survey research. MSA is a promising framework in which to consider participant carelessness because it is well suited to contexts in which parametric IRT models may not be appropriate, while still maintaining a focus on fundamental measurement requirements. We used a real data analysis and a simulation study to examine the sensitivity of MSA indicators of response quality to examinee carelessness and compared the results to those from standalone indicators. We also examined the impact of carelessness on the sensitivity of MSA item quality indicators. Numeric and graphical indicators of response quality from MSA indicators were sensitive to examinee carelessness. Graphical displays of nonparametric person response functions (PRFs) provided supplementary insight that can alert researchers to potentially problematic responses. Our results also indicated that MSA indicators of item quality are robust to the presence of participant carelessness. We consider the implications of our findings for research and practice. [ABSTRACT FROM AUTHOR]

Currently, two-level Mokken scale analysis for clustered test data is being developed. This paper contributes to this development by providing model-fit procedures for two-level Mokken scale analysis. New theoretical insights suggested that the existing model-fit procedure from traditional (one-level) Mokken scale analyses can be used for investigating model fit at both level 1 (respondent level) and level 2 (cluster level) of two-level Mokken scale analysis. However, the traditional model-fit procedure requires some modifications before it can be used at level 2. In this paper, we made these modifications and investigated the resulting model-fit procedure. For two model assumptions, monotonicity and invariant item ordering, we investigated the false-positive count and the sensitivity count of the level 2 model-fit procedure, with respect to the number of model violations detected, and the number of detected model violations deemed statistically significant. For monotonicity, the detection of model violations was satisfactory, but the significance test lacked power. For invariant item ordering, both aspects were satisfactory. [ABSTRACT FROM AUTHOR]

Nurse managers play a vital role in healthcare organizations, wielding the ability to substantially enhance work environments, foster nurses' autonomy, and bolster retention within workplaces. In this context, this study focuses on the Nurse Manager Actions scale, aiming to evaluate its items' scalability as well as the scale's validity and reliability among nurses and nurse managers operating within the Italian healthcare context. The study protocol was not registered. To ensure linguistic and cultural alignment, an iterative and collaborative translation process was undertaken. Subsequently, a multi-center cross-sectional design was adopted. Using a web-survey approach, data were collected among 683 nurses and 188 nurse managers between August 2022 and January 2023. The Nurse Manager Actions scale was found to be a valid and reliable instrument in Italian after a Mokken Scale Analysis. For nurses (HT= 0.630, Molenaar–Sijtsma rho = 0.890), the scale included 6 items, while 11 items were confirmed for nurse managers (HT= 0.620, Molenaar–Sijtsma rho = 0.830). Nurse Manager Actions scale scores were correlated with increased satisfaction and decreased intention to leave for both nurses and nurse managers. The employed validation process enhanced the scale validity for use in Italy and provided a model for other researchers to follow when assessing similar measures in different populations. Measuring and empowering nurse manager actions in work contexts is essential to improve the general well-being and retention of nurses, especially in the current nursing shortage. [ABSTRACT FROM AUTHOR]

Background: The Occupational Depression Inventory (ODI) was recently devised to assess depressive symptoms that individuals specifically attribute to their work. One purpose of the ODI is to overcome limitations in current assessments of job-related distress. This study aimed to validate the Swedish version of the ODI. Methods: The study involved 365 individuals employed in Sweden. In addition to the ODI, the study included the Satisfaction with Life Scale, the Effort-Reward Imbalance Questionnaire, the Demand-Control-Support Questionnaire, the GAD-2, and the PHQ-9. We inquired into the factorial validity, dimensionality, scalability, test-score reliability, criterion validity, convergent validity, discriminant validity, and measurement invariance of the ODI. Results: Exploratory structural equation modeling bifactor analysis indicated that the ODI's Swedish version meets the requirements for essential unidimensionality (e.g., explained common variance = 0.872). Measurement invariance held across sexes, age groups, and occupational categories. The instrument exhibited strong scalability (e.g., H = 0.662). The observed total scores thus accurately ranked respondents on the latent continuum underlying the scale. The ODI's total-score reliability was high (e.g., McDonald's ω = 0.929). Speaking to the instrument's criterion validity, we found occupational depression to correlate, in the expected direction, with various work (e.g., job support) and nonwork (e.g., general anxiety) variables. Occupational depression showed large correlations with effort-reward imbalance (r = 0.613) and demand-control imbalance (r = 0.566) at work. Multiple regression analyses supported these associations further. As expected, we observed both a degree of convergent validity and a degree of discriminant validity when examining the ODI against the PHQ-9, an attribution-free measure of depression. Discussion: This study indicates that the ODI performs well within the Swedish context, consistent with the findings obtained in other linguistic and geographic contexts. The ODI promises to help researchers, practitioners, and public health decision-makers address job-related distress more effectively. [ABSTRACT FROM AUTHOR]

Background: The nursing professional self-efficacy scale (NPSES) is one of the most used self-reporting tools for assessing nursing self-efficacy. Its psychometric structure was described differently in several national contexts. This study aimed to develop and validate version 2 of the NPSES (NPSES2), which is a brief version of the original scale selecting items that contribute to stably detecting attributes of care delivery and professionalism as descriptors of salient aspects of the nursing profession. Methods: Three different and subsequent cross-sectional data collections were employed to reduce the number of items to generate the NPSES2 and validate its new emerging dimensionality. The first (June 2019–January 2020) involved 550 nurses and was used to reduce the number of the original scale items by using a Mokken scale analysis (MSA) to ensure the selection of items consistently with the invariant item ordering properties. The subsequent data collection was performed to conduct an exploratory factor analysis (EFA) involving 309 nurses (September 2020–January 2021), and the last data collection (n = 249) was performed to cross-validate with a confirmatory factor analysis (CFA), the most plausible dimensionality derived from the EFA (June 2021–February 2022). Results: The MSA led to the removal of twelve items and retention of seven items (Hs = 0.407, standard error = 0.023), which showed adequate reliability (rho reliability = 0.817). The EFA showed a two-factor solution as the most plausible structure (factors loading ranged from 0.673 to 0.903; explained variance = 38.2%), which was cross-validated by the CFA that showed adequate fit indices: χ2 (13, N = 249) = 44.521, p < 0.001; CFI = 0.946; TLI = 0.912; RMSEA = 0.069 (90% CI = 0.048–0.084); SRMR = 0.041. The factors were labeled as care delivery (four items) and professionalism (three items). Conclusions: NPSES2 is recommended to allow researchers and educators to assess nursing self-efficacy and inform interventions and policies. [ABSTRACT FROM AUTHOR]

The Occupational Depression Inventory (ODI) was recently developed to assess depressive symptoms that individuals specifically attribute to their work. One purpose of the ODI is to respond to limitations of current assessments of job‐related distress, most notably, assessments relying on the burnout construct. In this study, we conducted a thorough examination of the psychometric and structural properties of the ODI using exploratory structural equation modelling bifactor analysis and Mokken scale analysis. The study involved three samples of employed individuals, recruited in France (N = 3454), Switzerland (N = 1971), and Australia (N = 1485). Results were consistent across the three samples. The ODI exhibited essential unidimensionality and excellent total‐score reliability―as indexed by McDonald's omega, Cronbach's alpha, Guttman's lambda‐2, and the Molenaar‐Sijtsma statistic. We found evidence for measurement invariance across sexes, age groups, and samples. Mokken scale analysis revealed that the ODI's scalability was strong. No monotonicity violation was detected. Invariant item ordering showed sufficient accuracy. In all three samples, suicidal ideation was the least commonly endorsed item―thus acting as a sentinel item―and fatigue/loss of energy was the most commonly endorsed item. The ODI exhibits excellent psychometric and structural properties, suggesting that occupational health specialists can effectively employ the instrument. [ABSTRACT FROM AUTHOR]

The main goal of the research was to increase knowledge on the psychometric properties of the Prayer Importance Scale (PIS). The study analyzed the structure of test items using item response theory (IRT), Mokken scale analysis (MSA), and confirmatory factor analysis (CFA) to establish factorial structure of the method. Measurement invariance (MI) was calculated in groups differentiated by three criteria: religiosity, gender, and age. MI verifies whether test items measure the construct in the same way across different groups. The Structure and Level of Religiosity Test (SLRT) was used to examine the level of religiosity in participants. In a study conducted with a sample of n = 566 adults (Mage = 49.16 years; SDage = 15.72), two religious groups were identified based on a median distribution: with low (n = 275) and high (n = 291) levels of religiosity. Two groups differentiated by gender, men (n = 284) and women (n = 282), were equivalent per age period: early (age 25–39; n = 192), middle (age 40–59; n = 187), and late adulthood (age 60+; n = 187). Results of the analyses show high homogeneity of items comprising PIS, as well as strict invariance for the three distinguished criteria. Results of the study provide extended knowledge about psychometric properties of PIS and the ability to compare results due to religiosity, gender, and age. [ABSTRACT FROM AUTHOR]

Abstract Background Individual-centred career questionnaires are important for understanding the motivations of medical students. This study aimed to collect validity evidence of a questionnaire to measure the career choice of medical undergraduates. Methods A cross-sectional survey was sent to third-year undergraduate students at a Chinese university-affiliated hospital. The questionnaire was formed using items that were selected after a systematic literature review. Item reduction was conducted using Mokken scale analysis, followed by reliability and validity testing, which described the validity evidence of the content, response process and internal structure. Results The preliminary 20-item questionnaire was returned by 213 undergraduate students (response rate: 86.59%). To construct a monotone homogeneity model, 6 items were removed after testing for unidimensionality, local independence, and latent monotonicity according to the sequence. The final questionnaire included 14 items in two subscales: a 10-item ‘career advantage’ subscale and a 4-item ‘career disadvantage’ subscale. The questionnaire was judged to be acceptably reliable (Molenaar-Sijtsma method: 0.87 and 0.75, Cronbach’s alpha: 0.87 and 0.74) and to have good construct validity (χ2/df: 1.748, normed fit index: > 0.9, comparative fit index: > 0.9, root mean square error of approximation: 0.05–0.08). Male and female undergraduates had different responses regarding their salary, subspecialty, career prospects, and ability to serve their relatives. Male undergraduates might be more willing to accept on-call positions and have subspecialties with greater likelihoods of patient–physician conflict. Conclusion We used Mokken scale analysis to develop and collect evidence of the validity of a 14-item questionnaire regarding career preferences among Chinese medical undergraduate students. This short and simple questionnaire may provide a suitable tool for exploring insights regarding the motivations of Chinese medical students.

This 386-participant study investigated the structural and psychometric properties of the Spanish version of the Occupational Depression Inventory (ODI). Exploratory structural equation modeling bifactor analysis revealed that the ODI meets the requirements for essential unidimensionality. Measurement invariance held across our sample and the English- and French-speaking samples used in the ODI’s initial validation study. Mokken scale analysis indicated that (a) the scalability of the instrument was strong, (b) no violations of monotonicity or local independence were present, and (c) invariant item ordering was sufficiently accurate. The ODI’s reliability was optimal. The ODI exhibited both convergent validity and discriminant validity vis-à-vis a job-unrelated measure of depression. Furthermore, occupational depression correlated substantially, and in the expected direction, with objective cognitive performance and 10 widely studied work-life characteristics. This study suggests that the ODI’s Spanish version has excellent structural and psychometric properties and can be confidently employed by occupational health specialists.

Background: The Occupational Depression Inventory (ODI) reflects a new approach to job-related distress centered on work-attributed depressive symptoms. The instrument was developed with reference to the characterization of major depression found in the Diagnostic and statisticalmanual of mental disorders, fifth edition. The ODI has been validated in English, French, and Spanish. This study (a) investigated the psychometric and structural properties of the ODI's Italian version and (b) inquired into the nomological network of occupational depression. Methods: A convenience sample of 963 employed individuals was recruited in Italy (69.9% female; mean age = 40.433). We notably relied on exploratory structural equation modeling bifactor analysis, common-practice confirmatory factor analysis, andMokken scale analysis to examine our dataset. Results: Our analyses indicated that the Italian version of the ODI meets the requirements for essential unidimensionality, thus justifying the use of the instrument's total score. The ODI's reliability was excellent. Measurement invariance held across sexes, age groups, and occupations. Occupational depression was negatively associated with general wellbeing and positively associated with a 12-month history of depressive disorder, current antidepressant intake, 12-month sick leave, 6-month physical assault at work, 6-month verbal abuse at work, lack of money for leisure activities, and financial strain in the household. Frontiers in. Conclusions: The ODI's Italian version exhibits robust psychometric and structural properties, suggesting that the instrument can be fruitfully used for addressing job-related distress in Italian-speaking populations. Furthermore, the present study relates occupational depression to important health, economic, and work-life characteristics, including past depressive episodes, antidepressantmedication, sickness-related absenteeism, workplace violence, and economic stress. [ABSTRACT FROM AUTHOR]

No validated measures of vaccine hesitancy (VH) for youth vaccination currently exist. We adapted the Parent Attitudes about Childhood Vaccines survey (PACV-15) for use in youth to create the version Youth Attitudes about Vaccines survey (YAV-14 and YAV-5), then translated it into three languages (German, French, and Italian). We administered the YAV-14 to 1,003 youth aged 15–26 years in Switzerland. We used exploratory factor analysis and Mokken scale analysis to explore the psychometric properties, Cronbach’s alpha to investigate the reliability for the YAV-14 and the YAV-5, but we only report results of the YAV-5 analysis here. We determined construct validity by logistic regression of the association between youth VH as measured by the YAV-5 and non-receipt of the first human papillomavirus (HPV) vaccine dose. EFA produced a single scale in German and French while two factors were obtained in Italian. All language versions fit the Mokken scale models with medium-scale strength. There was a significant association between VH and HPV vaccine non-receipt for the full sample (odds ratio (OR); 1.93, 95% confidence interval (CI); 1.31–2.85). Language-stratified analyses found a significant association between VH and non-immunization in the German-language sample. Our results demonstrate that the German version of YAV-5 is a valid and reliable scale for identifying vaccine hesitant youth regardless of sex, and the French version is a valid and reliable scale for identifying vaccine hesitant female youth. Further validation is needed for Italian and French-speaking male youth.

BackgroundThe Occupational Depression Inventory (ODI) reflects a new approach to job-related distress centered on work-attributed depressive symptoms. The instrument was developed with reference to the characterization of major depression found in the Diagnostic and statistical manual of mental disorders, fifth edition. The ODI has been validated in English, French, and Spanish. This study (a) investigated the psychometric and structural properties of the ODI's Italian version and (b) inquired into the nomological network of occupational depression.MethodsA convenience sample of 963 employed individuals was recruited in Italy (69.9% female; mean age = 40.433). We notably relied on exploratory structural equation modeling bifactor analysis, common-practice confirmatory factor analysis, and Mokken scale analysis to examine our dataset.ResultsOur analyses indicated that the Italian version of the ODI meets the requirements for essential unidimensionality, thus justifying the use of the instrument's total score. The ODI's reliability was excellent. Measurement invariance held across sexes, age groups, and occupations. Occupational depression was negatively associated with general wellbeing and positively associated with a 12-month history of depressive disorder, current antidepressant intake, 12-month sick leave, 6-month physical assault at work, 6-month verbal abuse at work, lack of money for leisure activities, and financial strain in the household.ConclusionsThe ODI's Italian version exhibits robust psychometric and structural properties, suggesting that the instrument can be fruitfully used for addressing job-related distress in Italian-speaking populations. Furthermore, the present study relates occupational depression to important health, economic, and work-life characteristics, including past depressive episodes, antidepressant medication, sickness-related absenteeism, workplace violence, and economic stress.

Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Mokken scale analysis (MSA) is a probabilistic-nonparametric approach to item response theory (IRT) which determines the one-dimensionality and scalability of test. Mokken scaling techniques are a useful tool for researchers who wish to construct unidimensional tests or use questionnaires that comprise multiple binary or polytomous items. The current study utilized the MSA to examine one-dimensionality and scalability of TEOFL iBT listening test, administered on 400 EFL university students in the Iranian context. The results illustrated no main concerns in terms of item scalability. Monoton homogeneity model (MHM) fitted all the items of the test very well as measured by the scalability coefficients and restscore groups method. Considering the invariant item ordering (IIO), it was concluded that the ordering of items according to their mean is invariant across examinees, although HT was small. Dimensionality analysis results using the automated item selection procedure (AISP) depicted that the test is unidimensional-confirming evidence of the validity of the test in measuring a single ability dimension. The empirical application depicted a potential and feasible approach, whereby MSA could be used as a valuable method for exploring the behavior of scaled items in response to varying levels of a latent trait in education research. [ABSTRACT FROM AUTHOR]

Researchers frequently use Mokken scale analysis (MSA), which is a nonparametric approach to item response theory, when they have relatively small samples of examinees. Researchers have provided some guidance regarding the minimum sample size for applications of MSA under various conditions. However, these studies have not focused on item-level measurement problems, such as violations of monotonicity or invariant item ordering (IIO). Moreover, these studies have focused on problems that occur for a complete sample of examinees. The current study uses a simulation study to consider the sensitivity of MSA item analysis procedures to problematic item characteristics that occur within limited ranges of the latent variable. Results generally support the use of MSA with small samples (N around 100 examinees) as long as multiple indicators of item quality are considered. [ABSTRACT FROM AUTHOR]

Vaccine hesitancy (VH) is a complex and context-specific phenomenon that is linked to under-immunization and poses challenges to immunization programs. The Parent Attitudes about Childhood Vaccines (PACV) is an instrument developed to measure VH. We translated the PACV into three languages (German, French and Italian) and administered it to 1388 Swiss parents. We used exploratory factor analysis (EFA) to confirm the scale sub-domains, Cronbach’s alpha to assess internal consistency reliability, and Mokken scale analysis (MSA), to explore unidimensionality of each language version. We determined to construct validity by linking parental PACV score to children’s immunization status for the first dose of measles vaccine. For the 15-item PACV, EFA extracted three sub-domains in German and French and four sub-domains in Italian. Cronbach’s alpha was >0.8 across the three languages, and MSA produced a 13-item German, 14-item French, and 11-item Italian PACV. EFA and MSA of the short version PACV extracted a single factor and scale with Cronbach’s alpha >0.7 in all three language versions. VH was significantly associated with non-timely receipt of the first dose of measles in all languages (odds ratio of 20.7, 21.3, and 8.3 for German, French, and Italian languages, respectively). The translated and revised PACV-15 versions are valid and reliable instruments for VH measurement. The structure and reliability of the short version of the PACV was as good as the long version. Our results suggest that the PACV can be used to measure parental VH outside the US in the validated languages.

Background: Individual-centred career questionnaires are important for understanding the motivations of medical students. This study aimed to collect validity evidence of a questionnaire to measure the career choice of medical undergraduates. Methods: A cross-sectional survey was sent to third-year undergraduate students at a Chinese university-affiliated hospital. The questionnaire was formed using items that were selected after a systematic literature review. Item reduction was conducted using Mokken scale analysis, followed by reliability and validity testing, which described the validity evidence of the content, response process and internal structure. Results: The preliminary 20-item questionnaire was returned by 213 undergraduate students (response rate: 86.59%). To construct a monotone homogeneity model, 6 items were removed after testing for unidimensionality, local independence, and latent monotonicity according to the sequence. The final questionnaire included 14 items in two subscales: a 10-item 'career advantage' subscale and a 4-item 'career disadvantage' subscale. The questionnaire was judged to be acceptably reliable (Molenaar-Sijtsma method: 0.87 and 0.75, Cronbach's alpha: 0.87 and 0.74) and to have good construct validity (χ2/df: 1.748, normed fit index: > 0.9, comparative fit index: > 0.9, root mean square error of approximation: 0.05–0.08). Male and female undergraduates had different responses regarding their salary, subspecialty, career prospects, and ability to serve their relatives. Male undergraduates might be more willing to accept on-call positions and have subspecialties with greater likelihoods of patient–physician conflict. Conclusion: We used Mokken scale analysis to develop and collect evidence of the validity of a 14-item questionnaire regarding career preferences among Chinese medical undergraduate students. This short and simple questionnaire may provide a suitable tool for exploring insights regarding the motivations of Chinese medical students. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to accomplish two tasks for International Classification of Functioning, Disability and Health (ICF) application among persons with stroke: (1) to make an ICF tool for measuring personal abilities with simplified assessment operations; (2) to quantitatively evaluate ICF categories for being functioning rather than being disabled. Methods: A total of 130 inpatients with stroke via convenience sampling were evaluated by the extended comprehensive ICF core set for stroke, modified Rankin scale, and modified Barthel index (MBI). This study investigated the responses to 118 stroke-related ICF items (59 items in b and d domains individually) using Mokken scale analysis followed with Rasch modeling. Results: A Mokken scale with 47 items was extracted from the binary data (1 as no-impairment or mild-impairment and 0 as moderate to complete impairment). A Rasch model with 45 items was derived from the Mokken scale. The conversion chart was available involving the original ordinal scores to Rasch-transformed scores from 0 to 100 (interval scale). Total scores exhibited a high correlation with the personal abilities estimated by the Rasch model. The personal ability also demonstrated a significantly strong correlation with the score of the MBI. Thus, the 45 ICF items were suggested to rate potential functional ability as a single measurement. Conclusion: Based on simple "functioning or disabled" judgment tasks, ICF assessment can be simplified to a questionnaire with answering "yes-or-no" questions for each category. Functioning level for each person and difficulty of being functioning for each category can be estimated by the Rasch model of this questionnaire. [ABSTRACT FROM AUTHOR]

This 386-participant study investigated the structural and psychometric properties of the Spanish version of the Occupational Depression Inventory (ODI). Exploratory structural equation modeling bifactor analysis revealed that the ODI meets the requirements for essential unidimensionality. Measurement invariance held across our sample and the English- and French-speaking samples used in the ODI's initial validation study. Mokken scale analysis indicated that (a) the scalability of the instrument was strong, (b) no violations of monotonicity or local independence were present, and (c) invariant item ordering was sufficiently accurate. The ODI's reliability was optimal. The ODI exhibited both convergent validity and discriminant validity vis-à-vis a job-unrelated measure of depression. Furthermore, occupational depression correlated substantially, and in the expected direction, with objective cognitive performance and 10 widely studied work-life characteristics. This study suggests that the ODI's Spanish version has excellent structural and psychometric properties and can be confidently employed by occupational health specialists. [ABSTRACT FROM AUTHOR]

It is necessary to supply proof regarding the construct validity of the scales. Especially, when new scales are developed the construct validity is researched by the Exploratory Factor Analysis (EFA). Generally, factor extraction is performed via the Principal Component Analysis (PCA) which is not exactly factor analysis and the Principal Axis Factoring (PAF) among EFA methods. Factors may also be determined with different techniques depending on the advances in psychometry. In the context of nonparametric item response theory, the Mokken Scale Analysis (MSA) and the Automatic Item Selection Procedure (AISP) provide significant contributions to researchers in scale development studies. The aim of the current study is to compare the AISP and the EFA methods in determining the factor structures. The Revised Life Orientation Test, whose factor structure was previously known and validated, and the draft Expectation Scale from Academics in Distance Education Scale, which was at the preliminary stage of the scale development process with the unknown factor structure, were considered in this comparison. It was determined that the consistency of the findings obtained from the EFA, and the ones obtained from the AISP provided strong evidence in ensuring the construct validity. The PAF and the AISP produced similar results in this research. The PAF results should be taken into consideration instead of the PCA, especially in scale development studies. It is recommended that the AISP and the PAF results be evaluated together for strong evidence in the investigation of construct validity in scale development studies. [ABSTRACT FROM AUTHOR]

Abstract Background The aging population increases rapidly across the world. Timely and effective screening of their mental-health problems is important to individuals, families, and the whole society. The Kessler-6 screening measure (K6) is a very popular instrument for non-specific psychological distress. However, few studies have focused on the psychometric properties of this instrument in the older population. Methods The present study employed Mokken scale analysis to evaluate its dimensionality and structure. This study also used differential item functioning (DIF) to examine whether the same structure existed across sex in a national representative sample of old Chinese people. Data were drawn from a public data set, the 2010 China Family Panel Studies (CFPS2010), and responses from a total of 6450 participants aged 60 years old and above (3136 males and 3314 females) were included in the final analysis. Results Mokken scale analysis supported the unidimensional structure of the K6. Differential item functioning (DIF) analysis revealed that two of the six items (“Hopeless” and “Everything was an effort”) were marked for DIF based on the Chi-square. However, their impacts were negligible in terms of McFadden’s pseudo R2. Conclusions The K6 demonstrates adequate psychometric properties in the old Chinese population. The sum of all six items can be used as an indicator of non-specific psychological distress. Differences in the indicator across sex should be considered as a real difference in psychological distress between the female and the male.

PurposeThis study aims to accomplish two tasks for International Classification of Functioning, Disability and Health (ICF) application among persons with stroke: (1) to make an ICF tool for measuring personal abilities with simplified assessment operations; (2) to quantitatively evaluate ICF categories for being functioning rather than being disabled.MethodsA total of 130 inpatients with stroke via convenience sampling were evaluated by the extended comprehensive ICF core set for stroke, modified Rankin scale, and modified Barthel index (MBI). This study investigated the responses to 118 stroke-related ICF items (59 items in b and d domains individually) using Mokken scale analysis followed with Rasch modeling.ResultsA Mokken scale with 47 items was extracted from the binary data (1 as no-impairment or mild-impairment and 0 as moderate to complete impairment). A Rasch model with 45 items was derived from the Mokken scale. The conversion chart was available involving the original ordinal scores to Rasch-transformed scores from 0 to 100 (interval scale). Total scores exhibited a high correlation with the personal abilities estimated by the Rasch model. The personal ability also demonstrated a significantly strong correlation with the score of the MBI. Thus, the 45 ICF items were suggested to rate potential functional ability as a single measurement.ConclusionBased on simple “functioning or disabled” judgment tasks, ICF assessment can be simplified to a questionnaire with answering “yes-or-no” questions for each category. Functioning level for each person and difficulty of being functioning for each category can be estimated by the Rasch model of this questionnaire.

The main goal of the research was to increase knowledge on the psychometric properties of the Prayer Importance Scale (PIS). The study analyzed the structure of test items using item response theory (IRT), Mokken scale analysis (MSA), and confirmatory factor analysis (CFA) to establish factorial structure of the method. Measurement invariance (MI) was calculated in groups differentiated by three criteria: religiosity, gender, and age. MI verifies whether test items measure the construct in the same way across different groups. The Structure and Level of Religiosity Test (SLRT) was used to examine the level of religiosity in participants. In a study conducted with a sample of n = 566 adults (Mage = 49.16 years; SDage = 15.72), two religious groups were identified based on a median distribution: with low (n = 275) and high (n = 291) levels of religiosity. Two groups differentiated by gender, men (n = 284) and women (n = 282), were equivalent per age period: early (age 25–39; n = 192), middle (age 40–59; n = 187), and late adulthood (age 60+; n = 187). Results of the analyses show high homogeneity of items comprising PIS, as well as strict invariance for the three distinguished criteria. Results of the study provide extended knowledge about psychometric properties of PIS and the ability to compare results due to religiosity, gender, and age.

In recent years, research on disordered gaming has grown substantially with researchers developing different psychometric tools for assessing it. Two of the most prominent assessment tools are the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF) and the Gaming Disorder Test (GDT), which evaluate disordered gaming under the American Psychiatric Association (APA) and the World Health Organization (WHO) frameworks, respectively. The main aim of this study was to assess and compare the scalability, reliability, and validity of both scales to determine if they effectively assess disordered gaming in a normative sample, through the Mokken Scale Analysis (MSA). A sample of 605 participants (42.31 % female, mean age  = 23.98 years, SD = 9.21 years) was recruited for the present study. Results showed that both the IGDS9-SF and GDT were unidimensional, with all items presenting latent monotonicity fitting in the Monotone Homogeneity Model (MHM). Item characteristic curves did not intersect and presented with adequate fit in the Double Monotonicity Model (DMM). These findings further support the psychometric adequacy of the IGDS9-SF and GDT, attesting to their suitability to assess disordered gaming., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: [Laura Maldonado-Murciano, Halley M. Pontes, Maite Barrios, Juana Gómez-Benito, and Georgina Guilera have no conflicts of interest to declare that are relevant to the content of this article]., (© 2024 The Author(s).)