A validation study of the Occupational Depression Inventory in Poland and Ukraine.

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 (NSample1 = 526, 47% female; NSample2 = 164, 64% female) and one sample of Ukrainian employees (NSample3 = 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.

Investigating the PHQ-9 With Mokken Scale Analysis and Cognitive Interviews.

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.

Assessment of the Psychometric Characteristics of the Italian Version of the Nurse Manager Actions Scale.

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.

Validation of the Occupational Depression Inventory in Sweden.

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.

A sequential Moken scaling approach to evaluate response quality in survey research.

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.

Nursing Profession Self-Efficacy Scale-Version 2: A Stepwise Validation with Three Cross-Sectional Data Collections.

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.

Validation of the Occupational Depression Inventory in Brazil: A study of 1612 civil servants.

OBJECTIVE: The Occupational Depression Inventory (ODI) assesses work-attributed depressive symptoms. The ODI has demonstrated robust psychometric and structural properties. To date, the instrument has been validated in English, French, and Spanish. This study examined the psychometric and structural properties of the ODI's Brazilian-Portuguese version. METHODS: The study involved 1612 civil servants employed in Brazil (MAGE = 44, SDAGE = 9; 60% female). The study was conducted online across all Brazilian states. RESULTS: Exploratory structural equation modeling (ESEM) bifactor analysis indicated that the ODI meets the requirements for essential unidimensionality. The general factor accounted for 91% of the common variance extracted. We found measurement invariance to hold across sexes and age groups. Consistent with these findings, the ODI showed strong scalability (H = 0.67). The instrument's total score accurately ranked respondents on the latent dimension underlying the measure. Furthermore, the ODI exhibited excellent total-score reliability (e.g., McDonald's ω = 0.93). Occupational depression correlated negatively with work engagement and each of its components (vigor, dedication, and absorption), speaking to the ODI's criterion validity. Finally, the ODI helped clarify the issue of burnout-depression overlap. Relying on ESEM confirmatory factor analysis (CFA), we found burnout's components to correlate more strongly with occupational depression than with each other. Using a higher-order ESEM-within-CFA framework, we found a correlation of 0.95 between burnout and occupational depression. CONCLUSION: The ODI displays robust psychometric and structural properties within the Brazilian context. The ODI constitutes a valuable resource for occupational health specialists and may help advance research on job-related distress.

ICF-Based simple scale for children with cerebral palsy: Application of Mokken scale analysis and Rasch modeling.

Children with cerebral palsy (CP) are faced with long-term dysfunction. The International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY) has been proposed but the complicated procedure limits the feasibility of clinical application and the exploration of health degrees. This study was aimed to establish a Mokken scale based on the ICF-CY for CP, and then to estimate psychometric properties through the derived Rasch model. 150 children with CP were assessed by the categories of "b" and "d" components in the core set. The binarized data was screened by the Mokken scale analysis and utilized for generating a reliable Rasch model. The validity of the final model was checked by the correlation between person ability, Gross Motor Function Classification System (GMFCS) and total scores. Using the Mokken scale to guide Rasch modeling, we can parameterize the properties of ICF-CY and realize the simple assessment of person abilities for children with CP.

Towards a new approach to job-related distress: A three-sample study of the Occupational Depression Inventory.

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.

Using Mokken scaling techniques to explore carelessness in survey research.

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.

Development and validation of the food cue responsivity scale.

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.

Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis.

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.

Simplified Post-stroke Functioning Assessment Based on ICF via Dichotomous Mokken Scale Analysis and Rasch Modeling.

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.

Development of a career questionnaire for medical undergraduates using Mokken scale analysis.

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.

Occupational depression in a Spanish-speaking sample: associations with cognitive performance and work-life characteristics / Depresión ocupacional en una muestra hispanohablante: asociaciones con el rendimiento cognitivo y características de la vida laboral

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.(AU)

El presente estudio, realizado con 386 participantes, ha indagado en las propiedades estructurales y psicométricas de la versión española del Inventario de Depresión Ocupacional (ODI, según sus siglas en inglés). Un análisis bifactorial de un modelo exploratorio de ecuaciones estructurales mostró que el ODI reúne los requisitos de unidimensionalidad esencial. La invarianza de la medida se mantuvo en nuestra muestra y en las muestras anglo y francoparlantes utilizadas en el estudio de validación inicial. Un análisis Mokken de la escala indica que: a) el instrumento tenía un fuerte carácter escalar, b) no hubo violación de la monotonicidad o independencia local y c) el orden invariante de los ítems fue lo suficientemente preciso. La fiabilidad ha sido óptima. El ODI presentó tanto validez convergente como discriminante en relación con una medida de depresión no relacionada con el trabajo. Además, la depresión laboral correlacionó en gran medida, en la dirección esperada, con el desempeño cognitivo objetivo y 10 características muy estudiadas de la vida laboral. El estudio destaca que la versión española del ODI tiene unas propiedades estructurales y psicométricas excelentes, por lo que puede utilizarse con toda confianza por los especialistas en salud ocupacional.(AU)

Italian version of the Occupational Depression Inventory: Validity, reliability, and associations with health, economic, and work-life characteristics.

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 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. 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, and Mokken 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. 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, antidepressant medication, sickness-related absenteeism, workplace violence, and economic stress.

A two-step, test-guided Mokken scale analysis, for nonclustered and clustered data.

PURPOSE: Mokken scale analysis (MSA) is an attractive scaling procedure for ordinal data. MSA is frequently used in health-related quality of life research. Two of MSA's prime features are the scalability coefficients and the automated item selection procedure (AISP). The AISP partitions a (large) set of items into scales based on the observed item scores; the resulting scales can be used as measurement instruments. There exist two issues in MSA: First, point estimates, standard errors, and test statistics for scalability coefficients are inappropriate for clustered item scores, which are omnipresent in quality of life research data. Second, the AISP insufficiently takes sampling fluctuation of Mokken's scalability coefficients into account. METHODS: We solved both issues by providing point estimates and standard errors for the scalability coefficients for clustered data and by implementing a Wald-based significance test in the AISP algorithm, resulting in a test-guided AISP (T-AISP), that is available for both nonclustered and clustered test scores. RESULTS: We integrated the T-AISP into a two-step, test-guided MSA for scale construction, to guide the analysis for nonclustered and clustered data. The first step is performing a T-AISP and select the final scale(s). For clustered data, within-group dependency is investigated on the final scale(s). In the second step, the strength of the scale(s) is determined and further analyses are performed. The procedure was demonstrated on clustered item scores obtained from administering a questionnaire on quality of life in schools to 639 students nested in 30 classrooms. CONCLUSIONS: We developed a two-step, test-guided MSA for scale construction that takes into account sample fluctuation of all scalability coefficients and that can be applied to item scores obtained by a nonclustered or clustered sampling design.

The Youth Attitudes about Vaccines (YAV-5) scale: adapting the parent attitudes about childhood vaccines short scale for use with youth in German, French, and Italian in Switzerland, exploratory factor analysis and mokken scaling analysis.

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.

Application of the Parent Attitudes about Childhood Vaccines (PACV) survey in three national languages in Switzerland: Exploratory factor analysis and Mokken scale analysis.

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.

Construct Validity and Test-Retest Reliability of the Automated Vehicle User Perception Survey.

Fully automated vehicles (AVs) hold promise toward providing numerous societal benefits including reducing road fatalities. However, we are uncertain about how individuals' perceptions will influence their ability to accept and adopt AVs. The 28-item Automated Vehicle User Perception Survey (AVUPS) is a visual analog scale that was previously constructed, with established face and content validity, to assess individuals' perceptions of AVs. In this study, we examined construct validity, via exploratory factor analysis and subsequent Mokken scale analyses. Next, internal consistency was assessed via Cronbach's alpha (α) and 2-week test-retest reliability was assessed via Spearman's rho (ρ) and intraclass correlation coefficient (ICC). The Mokken scale analyses resulted in a refined 20-item AVUPS and three Mokken subscales assessing specific domains of adults' perceptions of AVs: (a) Intention to use; (b) perceived barriers; and (c) well-being. The Mokken scale analysis showed that all item-coefficients of homogeneity (H) exceeded 0.3, indicating that the items reflect a single latent variable. The AVUPS indicated a strong Mokken scale (H scale = 0.51) with excellent internal consistency (α = 0.95) and test-retest reliability (ρ = 0.76, ICC = 0.95). Similarly, the three Mokken subscales ranged from moderate to strong (range H scale = 0.47-0.66) and had excellent internal consistency (range α = 0.84-0.94) and test-retest reliability (range ICC = 0.84-0.93). The AVUPS and three Mokken subscales of AV acceptance were validated in a moderate sample size (N = 312) of adults living in the United States. Two-week test-retest reliability was established using a subset of Amazon Mechanical Turk participants (N = 84). The AVUPS, or any combination of the three subscales, can be used to validly and reliably assess adults' perceptions before and after being exposed to AVs. The AVUPS can be used to quantify adults' acceptance of fully AVs.