Underlying Factor Structure Research Articles

Assessing information quality of Bangladesh e-government websites

PurposeThe purpose of this paper is to assess the information quality of e-government websites by university-education citizens of Bangladesh. It also investigated citizens' demographic and Internet related variables associated with perceived information quality ratings and the validity of the underlying factor structure of information quality dimensions.Design/methodology/approachAn online survey was conducted to assess information quality of e-government websites among a sample of university-educated citizens in Bangladesh. Descriptive statistics were obtained to examine respondents' ratings on information quality of these websites on a five-point Likert scale. A multiple linear regression model was applied to determine the effect of demographic and Internet use variables associated with information quality ratings on e-government websites. Finally, a confirmatory factor analysis (CFA) was performed to determine the underlying factor structure of information quality dimensions.FindingsThe findings revealed that the ratings on most information quality items were close to 4.00 on a five-point scale, indicating a generally high information quality of Bangladesh e-government websites. Out of 20 information quality dimensions, value-added and authority were the two top-rated information quality dimensions while security, completeness, reliability, advertisement, relevance and ease of use were the least rated dimensions. The results of multiple regression suggested that gender, age and the device used for accessing the Internet were significantly associated with information quality of e-government websites. The CFA results indicated that information quality dimensions corroborate the factor structure of information quality dimensions used in earlier studies, although the model fit statistics were not fully validated.Research limitations/implicationsThe focus of this study was confined to university-educated citizens in Bangladesh. Therefore, the results of this study may not be generalized to other demographic groups in Bangladesh or elsewhere.Practical implicationsThis paper can provide guidelines for developing high-quality, informative and citizen-centric e-government websites and suggest ways on how these websites can be evaluated for information quality.Originality/valueThis study is the first to examine the information quality of e-government websites from the citizens' perspective in Bangladesh. The findings of this paper can assist responsible government agencies in making the websites more informative and useful for a diverse group of users.

0292 Development and Validation of the Sleep Conflict Scale in Couple Relationships

Abstract Introduction Although there is considerable sleep concordance between partners in couple relationships, less is known about sleep practices between them and if there is conflict around sleep habits, preferences, and behaviors. Past empirical work suggests that couples who share the same sleep-wake preferences (i.e., morning vs. night people) report higher marital adjustment and less relational conflict. And yet the mechanism through which this occurs is yet unknown. One such mechanism is sleep-related conflict whereby partners disagree about their partners' sleep rituals causing sleep-related conflict. Methods The present study utilizes two samples to validate the Sleep Conflict Scale (SCS), one in individuals in relationships and the other sample of paired partners (dyadic data). The sleep conflict scale is a 5-item measure and includes items such as "My partner and I disagree about sleep routines and habits" and "Our relationship is negatively affected by our sleep differences". In order to identify the underlying factor structure of the SCS, several criteria was assessed to determine suitability for factor analysis, including bivariate correlations, the Kaiser-Meyer-Olkin Measure of Sampling Adequacy, and Bartlett’s test of Sphericity. Composite scores were computed and internal consistency was assessed by conducting Cronbach Alpha reliability estimates. We tested convergent validity by identifying associations between the SCS and relational and psychological health measures. Finally, using the dyadic sample, we also tested a structural equation model using the SCS on both partners' sleep hygiene and sleep quality. Results Results revealed that the SCS fit a one factor solution of five items and that a summed or mean score can be used. The SCS demonstrated excellent internal reliability and external validity when compared to other relational and psychological measures. Finally, higher sleep conflict was associated with worse sleep hygiene and poorer sleep quality for both partners. Conclusion The analyses provided support that the SCS scale is a psychometrically sound measure, in that it demonstrates a single factor structure, is highly reliability, and is qualitatively different than other couple or sleep-related measures. The SCS can be used in both primary and secondary care settings to identify couples who would benefit from relational intervention especially when sleep adherence is low. Support (if any)

Factor Structure and Construct Validity of a Hospital Survey on Patient Safety Culture Using Exploratory Factor Analysis.

Nurses' voluntary reporting of adverse events and errors is critical for improving patient safety. The operationalization and application of the concept, patient safety culture, warrant further study. The objectives are to explore the underlying factor structure, the correlational relationship, between items of the Agency for Healthcare Research and Quality Hospital Survey on Patient Safety Culture and examine its construct validity. Exploratory factor analysis was conducted using secondary data from the instrument's database. Using pattern matching, factors obtained through exploratory factor analysis were compared with the 6-component Patient Safety Culture Theoretical Framework: degree of psychological safety, degree of organizational culture, quality of culture of safety, degree of high reliability organization, degree of deference to expertise, and extent of resilience. 6 exploratory factors, explaining 51% of the total variance, were communication lead/speak out/resilience, organizational culture and culture of safety-environment, psychological safety-security/protection, psychological safety-support/trust, patient safety, communication, and reporting for patient safety. All factors had moderate to very strong associations (range, 0.354-0.924). Overall, construct validity was good, but few exploratory factors matched the theoretical components of degree of deference to expertise and extent of resilience. Factors essential to creating an environment of transparent, voluntary error reporting are proposed. Items are needed, specifically focusing on deference to expertise, the ability of the person with the most experience to speak up and lead, despite hierarchy or traditional roles, and resilience, which is coping and moving forward after adversity or mistakes. With future studies, a supplemental survey with these items may be proposed.

Development and Preliminary Validation of the KOOS-ACL: A Short Form Version of the KOOS for Young Active Patients With ACL Tears

Background: The Knee injury and Osteoarthritis Outcomes Score (KOOS) is a widely used region-specific outcome measure for assessing patients of all ages with a variety of knee conditions. Use of the KOOS for young active patients with anterior cruciate ligament (ACL) tear has been called into question regarding its relevance and interpretability for this specific population. Furthermore, the KOOS does not have adequate structural validity for use in high-functioning patients with ACL deficiency. Purpose: To develop a condition-specific short form version of the KOOS that is appropriate for the young active population with ACL deficiency: the KOOS-ACL. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: A baseline data set of 618 young patients (≤25 years old) with ACL tears was divided into development and validation samples. Exploratory factor analyses were conducted in the development sample to identify the underlying factor structure and to reduce the number of items based on statistical and conceptual indicators. Confirmatory factor analyses were conducted to check fit indices of the proposed KOOS-ACL model in both samples. Psychometric properties of the KOOS-ACL were assessed using the same data set, expanded to include patient data from 5 time points (baseline and postoperative 3, 6, 12, and 24 months). Internal consistency reliability, structural validity, convergent validity, responsiveness to change, floor/ceiling effects, and detection of treatment effects between surgical interventions (ACL reconstruction alone vs ACL reconstruction + lateral extra-articular tenodesis) were assessed. Results: A 2-factor structure was deemed most appropriate for the KOOS-ACL. Of 42 items, 30 were removed from the full-length KOOS. The final KOOS-ACL model showed acceptable internal consistency reliability (α = .79-.90), structural validity (comparative fit index and Tucker-Lewis index = 0.98-0.99; root mean square error of approximation and standardized root mean square residual = 0.04-0.07), convergent validity (Spearman correlation with International Knee Documentation Committee subjective knee form = 0.61-0.83), and responsiveness across time (significant small to large effects; P < .05). Conclusion: The new KOOS-ACL questionnaire contains 12 items and 2 subscales—Function (8 items) and Sport (4 items)—relevant to young active patients with an ACL tear. Use of this short form would reduce patient burden by more than two-thirds; it provides improved structural validity as compared with the full-length KOOS for our population of interest; and it demonstrates adequate psychometric properties in our sample of young active patients undergoing ACL reconstruction.

Latent factor structure of behavioral economic heroin and cocaine demand curves.

Research has shown that behavioral economic demand curve indices can be characterized by a two-factor latent structure and that these factors can predict dimensions of substance use. No study to date has examined the latent factor structure of heroin and cocaine demand curves. The objective of this study was to use exploratory factor analysis to examine the underlying factor structure of the facets of heroin and cocaine reinforcement derived from heroin and cocaine demand curves. Participants were 143 patients from two samples that met the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5; American Psychiatric Association [APA], 2013) criteria for opioid dependance and were undergoing medication-assisted treatment (methadone or buprenorphine). Heroin and cocaine demand curves were generated via hypothetical purchase tasks (HPT) that assessed consumption at 9 or 17 levels of prices from $0 to $500. Five facets of demand were generated from the tasks (Q0, 1/α, Pmax, Omax, and break point). Principal components analysis was used to examine the latent structure among the variables. The results revealed a two-factor solution for both heroin and cocaine demand. These factors were interpreted as persistence, consisting of 1/α, Pmax, Omax, and break point, and amplitude, consisting of Q₀ and Omax, and in one case, 1/α. Heroin factors had some predictive power for future substance use, but cocaine factors did not. These findings suggest that heroin and cocaine demand indices can be reduced to two factors indicating sensitivity and volume of consumption, and that these factors may be able to predict substance use for heroin. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Validity and Reliability of the Korean Version of the Paternal Postnatal Attachment Scale

The study aimed to translate the Paternal Postnatal Attachment Scale (PPAS) into Korean and to evaluate the validity and reliability of the Korean version of the PPAS (K-PPAS). The PPAS was translated, back-translated, and reviewed by 12 experts and 5 fathers following the World Health Organization's guideline. A convenience sample of 396 fathers with infants in their first 12 months participated in this study. For construct validity, underlying factor structure and model fit was assessed with exploratory and confirmatory factor analysis. Convergent and discriminant validity, and reliability of the K-PPAS were evaluated. The construct validity of the K-PPAS with 11 items was identified by two-factor structures; healthy attachment relationship, and patience and tolerance. The final model fit was shown acceptable with normed chi-square = 1.94, comparative fit index = .94, Tucker-Lewis index = .92, root mean square error of approximation = .07, and standardized root mean square residual = .06. This model had acceptable convergent and discriminant validity for each construct with values of composite reliability and heterotrait-monotrait ratio at a satisfactory level. Discriminant validity with known groups showed that fathers with no postnatal depression had significantly higher scores on the K-PPAS than those with postnatal depression. Cronbach's α and McDonald's omega coefficient of the K-PPAS was .84 and .83. The K-PPAS would be beneficial to measure postnatal attachment among fathers with infants aged 12 months or younger in Korea. However, further studies are suggested to evaluate the applicability of the scale considering the various family structures, such as single or foster parents, and multicultural families that exist within the Korean population.

Psychometric Properties of the Cognitive Emotion Regulation Questionnaire and Shortened Versions in Dutch Speaking Community-Dwelling Older Adults

Most studies on the psychometric properties of the Cognitive Emotion Regulation Questionnaire (CERQ) were done in adolescents and adults. The scarce studies in older adults were mainly limited to associations of CERQ scales with internalising symptoms and wellbeing. Only one study explored the underlying factor structure in Spanish older adults and concluded that only a 27 item CERQ version showed adequate fit when tested with confirmatory factor analysis. The present study analyses the psychometric properties of all three versions of the CERQ in a sample of 451 community-dwelling older adults: the original 36 item CERQ, the short 18 item CERQ developed by the original authors and a Spanish 27 item CERQ version. Because gender differences among strategies used have been reported, the present study examined and provided first evidence for the gender invariance of the CERQ structure. Moreover, cognitive emotion regulation strategies correlated like hypothesized with clinical symptoms in general, and behavioural inhibition and activation systems and coping styles. The nomological net was highly similar for the original CERQ and shortened versions. The shortened versions of the CERQ consequently can be viable alternatives to the CERQ in settings where short assessment instruments are needed.

Factor Structure of the Teacher Strengths and Difficulties Questionnaire in a Large Community-Based Sample: An Investigation of Alternative Measurement Models.

The Strengths and Difficulties Questionnaire (SDQ) is a screening measure commonly used to assess behavioral and emotional symptoms and strengths among children and adolescents. However, despite its frequent use, its underlying factor structure remains an important area of inquiry. Whereas the original five-factor structure has often been supported through exploratory factor analysis, results from confirmatory analyses continue to yield mixed results. We analyzed data from youth in Grades K through 12 from a large epidemiologic study in the Southeastern United States. Teacher-report SDQ data were used to test three confirmatory factor models by school level (i.e., elementary [Grades K-5] and secondary [Grades 6-12]): The original five-factor model, a three-factor model, and a bifactor model. Model fit indices and reliability measures supported the original five-factor model as the preferred model when using the teacher-reported SDQ with both elementary and secondary school children. Implications for using the SDQ in applied research and predictive modeling are discussed.

Development and Psychometric Validation of a Scale for Measurement of Tramadol Abuse

There are indications that the practices or behaviour involving tramadol use have not been measured with valid and reliable tools in the past. A scale that can be used to identify tramadol abuse practices in both clinical and non-clinical settings would be useful for possible intervention efforts. The objective of this study was, therefore, to develop and validate a scale to measure tramadol abuse. The scale items were sourced from the literature and outcomes from focus group discussions (FGDs) with 16 longterm tramadol users who were screened with Q-cup urine drug test kit (Q-CUDTK). Six experts and 30 long-term tramadol users were engaged for content and face validations of the items respectively. For construct validation, 180 tramadol users participated. Exploratory factor analysis (EFA) was applied to identify the underlying factor structure of the scale and Cronbach’s alpha was computed for the scale internal consistency. Two items failed to meet the I-CVI (item-content validity index) cut-off point (I-CVIs &lt; 0.83) and were deleted leaving 18 items with the S-CVI (scale-validity index) of 0.93. Three more items were deleted for having factor loadings below 0.50 leaving 15 items. The EFA resulted in the extraction of three factors: frequency of use (7 items), intensity of use (5 items) and pattern of use (3 items) with the reliability coefficients of 0.95, 0.96 and 0.89 respectively. We named this scale ‘Tram-BEHAV’ because it can be used to identify tramadol abuse behaviour for possible intervention. It can also be used for the evaluation of tramadol abuse intervention programmes.

Investigating end-users’ values in agriculture mobile applications development: An empirical study on Bangladeshi female farmers

The omnipresent nature of mobile applications (apps) in all aspects of daily lives raises the necessity of reflecting end-users’ values (e.g., fairness, honesty, social recognition, etc.) in apps. However, there are limited considerations of end-users’ values in apps development. Value violations by apps have been reported in the media and are responsible for end-users’ dissatisfaction and negative socio-economic consequences. Value violations may bring more severe and lasting problems for marginalized and vulnerable end-users of apps, which have been explored less (if at all) in the software engineering community. One of the main reasons behind value violations is the lack of understanding of human values due to their ill-defined, ambiguous, and implicit nature. Furthermore, addressing all the values of the end-users in a single app might cause dissatisfaction for some of the end-users if they have different values. Therefore, it is essential to identify if there are different groups of end-users of apps who share similar values and develop different sets of apps design strategies accordingly, which is the essential first step towards values-based apps development. This research aims to fill this gap by investigating different groups of Bangladeshi female farmers as a marginalized and vulnerable group of end-users of Bangladeshi agriculture apps based on their values. We conducted an empirical study that collected and analyzed data from a survey with 193 Bangladeshi female farmers to explore the underlying factor structure of Bangladeshi female farmers’ values and the significance of demographics on their values. The results identified three underlying factors of Bangladeshi female farmers. The first factor comprises of five values: benevolence, security, conformity, universalism, and tradition. The second factor consists of two values: self-direction and stimulation. The third factor includes three values: power, achievement, and hedonism. We also identified strong influences of demographics on some of the values of Bangladeshi female farmers. For example, area has significant impacts on three values: hedonism, achievement, and tradition. Similarly, there are also strong influences of household income on power and security. The results provide a direction for Bangladeshi agriculture app developers to develop different sets of apps design strategies for different groups of Bangladeshi female farmers based on their values.

The Danish Version of the 20-Item Prosopagnosia Index (PI20): Translation, Validation and a Link to Face Perception

Developmental prosopagnosia (DP) is a neurodevelopmental condition characterized by face recognition problems. Psychometrically sound self-report measures of face recognition problems are important tools in classification of DP. A widely used measure of such problems is the 20-item prosopagnosia index (PI20). Here, we present a Danish translation of the PI20 (PI20DK). We administered the PI20DK alongside three objective measures of face and object processing performance to 119 participants to validate the PI20DK. Further, we assess the underlying factor structure of the PI20DK. Finally, as the first study in the field, we investigate the association between self-reported face recognition ability and face perception performance. The project was preregistered prior to data collection. The results suggest excellent convergent validity, discriminant validity and internal consistency for the PI20DK. A confirmatory factor analysis, however, indicates a suboptimal fit of the PI20DK to a one factor solution. An investigation of the association between the PI20DK and face perception suggests that the poor fit may reflect that the PI20DK measures problems with face recognition in general and not specifically face memory problems.

Assessing the validity of self-report of psychopathy short-form (SRP-SF) in incarcerated offenders from Chile and Uruguay

Psychopathy remains a relatively unexplored concept in Latin America. The abbreviated Self-Report Psychopathy Scale (SRP-SF) seems promising in this under-resourced context. However, the SRP-SF should be tested for measurement invariance to achieve meaningful comparison across countries in Latin America. Therefore the aims of this study were to examine the underlying factor structure of the SRP-SF in incarcerated adult male offenders from Uruguay (n = 331) and Chile (n = 208), to examine the measurement invariance of the SRP-SF across countries, and to assess the utility of SRP-SF to classify first time offenders from offenders with criminal history. Findings showed a good fit for the four-factor model in Uruguay, and both Chile and Uruguay showed invariance. Conversely, the Interpersonal and Affective factors were not associated with criminal history in the Uruguayan sample. Therefore, more studies are needed before using the SRP-SF as screening tool to classify first-time offenders and reoffenders in different countries in Latin America.

The association of cognitive abilities with language disorder in 8-year-old children: A population-based clinical sample.

Despite accumulated evidence that language development depends on basic cognitive processes, the balance in contributions of verbal and non-verbal cognitive skills to language abilities is still underexplored. Little is known about which cognitive measures best predict the degree of severity in children with language disorder (LD). To examine the association between verbal and non-verbal cognitive abilities with language abilities in typically developing and language impaired 8-year-old children, as well as which cognitive abilities are most effective in distinguishing LD severity levels. Children (N = 509) from the Language-8 Study, which oversampled probable cases of children with LD from a population-based cohort in Norway, were assessed at 8 years. Language skills were assessed using the Norwegian Clinical Evaluation of Language Fundamentals-4 (CELF-4). Children's verbal and non-verbal cognitive abilities were assessed via standardized cognitive measures. An exploratory factor analysis (EFA) was first conducted to uncover the underlying factor structure of the cognitive variables. Using a hierarchical multiple regression analysis, we then examined to what extent the non-verbal cognition factor explained language abilities above and beyond verbal cognition factors. Lastly, multinomial logistic regression was used to examine which cognitive measures best predicted the degree of severity in the children with LD. The EFA resulted in three factors (Verbal Cognition, Processing Speed and Memory, and Non-Verbal Cognition). The hierarchical multiple regression analysis revealed that all three cognitive factors contributed significantly to individual variation in language abilities. Non-Verbal Cognition explained 5.4% variance in language abilities above and beyond that accounted for by Verbal Cognition and Processing Speed and Memory. Results from the multinomial logistic regression analysis indicated that cognitive subtests, including Familiar Sequences, WASI Vocabulary and WASI Similarities, not only distinguished LD from typically developing children, but were also efficient in distinguishing severity of LD symptoms. This study confirms concurrent links between language and non-verbal cognitive skills above and beyond the contribution of verbal cognitive skills. The results provide further evidence that children with LD experience both language and cognitive problems in mid-childhood. Our findings suggest implications for LD intervention and diagnosis. The findings support the importance of measuring both verbal and non-verbal cognitive skills when making an LD diagnosis, and point to the potential of targeting underlying cognitive skills as one strategy to support language abilities. What is already known on the subject Language development is dependent on basic cognitive processes. These include both verbal and non-verbal cognitive abilities. Children with LD often experience both language and cognitive problems. There is evidence that performance on cognitive tests may be associated with the degree of severity of LD. What this paper adds to existing knowledge The current results from a large population-based cohort establish that a number of verbal and non-verbal cognitive abilities are tightly linked to variation in language abilities and the degree of severity of LD. Our study confirms concurrent links between language and non-verbal cognitive abilities above and beyond the contribution of verbal cognitive abilities. We also identify specific verbal and non-verbal cognitive tests that distinguish between typical children and children with LD, as well as LD severity. What are the potential or actual clinical implications of this work? Our findings support the importance of measuring both verbal and non-verbal cognitive skills when making an LD diagnosis. Our findings also point to the potential of targeting underlying cognitive skills as one strategy to support language abilities. We suggest that future intervention studies focus on the impact of non-verbal cognitive skills on language development in children with LD.

Parents Rate Problematic Video Streaming in Adolescents: Conceptualization and External Assessment of a New Clinical Phenomenon Based on the ICD-11 Criteria of Gaming Disorder.

In recent years, video streaming (VS) increased substantially. Adolescents are at significant risk of presenting problematic VS patterns associated with a spectrum of mental-health difficulties. Because VS platforms rely on similar mechanisms as digital games, the ICD-11 criteria for Gaming Disorder (GD) have been successfully implemented to measure Streaming Disorder (StrD) in adolescents. For proper diagnoses, external rating scales are urgently required in addition to self-reports. The Streaming Disorder Scale for Parents (STREDIS-P) was created and validated in a representative sample of n = 891 adolescent-parent dyads. Mental health problems were assessed with standardized instruments. Confirmatory factor analysis was conducted to examine the underlying factor structure. Cutoff scores were determined using ROC analysis. Accordance between parental and adolescents' self-ratings was calculated. Consistent with the results of previous validation studies for screening instruments assessing similar phenomena based on ICD-11-GD criteria, two factors, cognitive-behavioral symptoms and negative consequences, were confirmed. STREDIS-P demonstrated good to excellent internal consistency, criterion validity, and discriminatory power. Accordance with adolescents' self-ratings was moderate. STREDIS-P is the first screening tool for assessing StrD in adolescents by parental ratings. It is highly relevant for conceptualizing a new phenomenon in clinical routine and academic research.

Construction and validation of a questionnaire to study engagement in informal second language learning

AbstractThis article reports on the development and validation of the Informal Second Language Engagement questionnaire (ISLE) for capturing various aspects of learner engagement with informal second language practices. Whereas other questionnaires have primarily focused on learner behavior (the frequency, quantity, and diversity of informal activities in which learners engage), the ISLE additionally targets affective, cognitive, and linguistic aspects of engagement. Consequently, this questionnaire has the potential to help second language acquisition researchers better understand individual differences and variability in informal language engagement, how it changes over time, and the ways in which engagement affects language learning. The ISLE was developed and evaluated in three stages with a total of 382 German secondary school learners of English as a foreign language. The initial instrument development was informed by qualitative findings from focus group interviews. Subsequently, the questionnaire was piloted, and Exploratory Factor Analysis was applied to the data to uncover the underlying factor structures and reduce the number of items per construct. Finally, the revised instrument was evaluated further using Confirmatory Factor Analysis.

Development of a scale for measuring individual propensity for serendipitous information encounters in an online environment

This article reports the development of a scale designed to measure an individual’s tendency to engage in serendipitous information encountering behaviour online. We relied on the simplified process model of information encountering to derive an initial item pool. In Study 1, a total of 3037 participants completed a preliminary 24-item scale. Using a split-half principal components analysis and confirmatory factor analysis to determine the underlying factor structure, we reduced the scale to 12 items. In Study 2 ( N = 66), we demonstrated the revised scale’s test–retest reliability and showed that it distinguishes between information encountering and other conceptually related constructs. In Study 3, behavioural data from 304 participants showed that the information encountering scale is associated with various indicators of online information-seeking, such as page visits and visit duration. Collectively, these studies yield a valid and easily implemented scale to better understand online information encountering. We describe the development of this scale and discuss its implications for both the measurement and study of serendipity in online information behaviour.

Exploring the Underlying Factor Structure of Youth Mental Health in Malaysia

Exploring the Underlying Factor Structure of Youth Mental Health in Malaysia

Cross-cultural validity of the Intuitive Eating Scale-2: Psychometric evaluation in the Greek-Cypriot population

BACKGROUND: Intuitive eating is defined by eating response to physiological hunger and satiety cues rather than situational or emotional cues and it has been linked to psychological well-being. The 23-item Intuitive Eating Scale-2 (IES-2) is commonly used to assess the concept of intuitive eating. OBJECTIVE: To develop the Greek version of the IES-2 questionnaire and to test its psychometric qualities. METHODS: Forward and backward translations into Greek and English were completed. Exploratory Factor Analysis (EFA) was applied to understand the underlying factor structure of the IES-2, whilst internal consistency was assessed by Cronbach’s alpha test. The concurrent validity was assessed by evaluating the correlation among the IES-2 and the Eating Attitudes Test-26 Item (EAT-26) questionnaire. RESULTS: A total of 379 adults (mean age = 34 years) participated. EFA gave a three-factor structure with the total variance explained being 54.4%. Cronbach’s alpha was 0.87 for the IES-2 total score, as well as 0.90, 0.84 and 0.70 for the IES-2 subscales. The revised IES-2 total score was significantly correlated with EAT-26 total score (rs = –0.46, p &lt; 0.01) and BMI (rs = –0.46, p &lt; 0.01). CONCLUSION: In this sample, the Greek version of the IES-2 showed good psychometric qualities and can be regarded a helpful tool for examining adult intuitive eating behaviours.

SIGH, what's in a name? An examination of the factor structure and criterion validity of the (Structured Interview Guide for the) Hamilton Anxiety scale (SIGH-A) in a sample of African American adults with co-occurring trauma experience and heavy alcohol use.

The Hamilton Anxiety Inventory (HAM-A) is one of the oldest and most commonly used anxiety rating scales in clinical research. Despite its ubiquity, no studies have examined the scale's underlying factor structure and criterion validity among Black and African American adults with psychopathology (Mage = 42.25, SD = 11.44). Therefore, we estimated a confirmatory factor analysis of the commercially available Structured Interview Guide for the Hamilton Anxiety scale (SIGH-A; Williams, 1996) among African American adults (n = 88; 43% female) with co-occurring heavy alcohol use and trauma-related symptoms. Next, we examined the criterion validity of its Psychic and Somatic factors and overall anxiety severity score from participants who completed a single screening session (i.e., cross-sectional analysis) for a larger study. Results indicated that a two-factor solution provided an adequate fit to the data. Regression analyses indicated that the total SIGH-A score, but not its subscales, significantly predicted posttraumatic stress disorder (PTSD) severity. Neither the SIGH-A subscales nor total scores were significant predictors of alcohol consumption. The current findings suggest that the SIGH-A factor structure among African American adults with alcohol and trauma-related conditions is similar to previous reports that have tested largely White samples but highlight potential shortcomings when its subscales are used independently. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Understanding key behavioral factors affecting road traffic citation and crash involvement of professional bus and passenger van drivers using a modified driver behavior questionnaire: an Indian perspective

A customized 27-item driver behavior questionnaire (DBQ) for professional long-distance bus and passenger van drivers in Bihar, India was tested separately and the underlying factor structures identified. In total, 156 bus and 149 passenger van drivers were surveyed and their self-reported aberrations, measured using the DBQ, were recorded along with their self-reported traffic citation and crash involvement in the past 3 years. A 21-item seven-factor DBQ and a 19-item five-factor DBQ were obtained for bus and passenger van drivers respectively through exploratory and confirmatory factor analysis. Structural equation modeling was used to find relations between DBQ factors and drivers’ number of crashes and traffic citations involvements. Only speed issues could significantly explain traffic citation involvement but no factor could significantly explain crash involvement for bus drivers. For passenger van drivers, only aggressive violations could explain traffic citation involvement while unmindfulness, aggressive violations and errors could explain crash involvement.