Three-factor Model Research Articles

Understanding the Interplay Between ICD-11 Complex PTSD and Personality Disorder Features in Relation to Traumatic Life Events in a Trauma-Exposed Community Sample

In the ICD-11, PD and CPTSD overlap in impaired aspects of self- and interpersonal functioning, with implications for assessment and treatment. This article aimed to explore the relationship between CPTSD and PD features. A trauma-exposed community sample in Denmark (N = 470) completed the ITQ, PDS-ICD-11, and BTQ. Data were analyzed using exploratory structural equation modeling. Both two- and three-factor models were viable. In the two-factor model, both disturbances in self-organization (DSO) and PD items belonged to the same disturbed self-interpersonal functioning factor. Both factors predicted quality of life and functioning and were predicted by number of life events. In the three-factor model (PTSD, DSO, and PD), there was some overlap between DSO and PD items. Number of life events predicted belonging to the PTSD and DSO classes but not the PD class. The findings demonstrate clear overlapping and differentiating features. Multiple traumas and functioning in self-concept and relationships appear to differentiate.

Parent Intention to Participate in an Online Intervention to Enhance Health Behavior Change Among Youth Treated with Psychotropic Medication Who are Overweight or Obese: An Application of the Theory of Planned Behavior.

Youth with mental health disorders (MHD), particularly those who take psychotropic medications, are at increased risk of being overweight or obese (OW/OB) when compared to typical youth. Parents are important resources for interventions addressing OW/OB. However, parents of youth with MHD may face challenges that require interventions designed to address their needs. Prior to investing research funding in the development of interventions for this group, research is needed to understand factors associated with parents' decisions to enroll in these programs. The theory of planned behavior (TPB) provided a framework for examining parents' salient beliefs, direct attitudes, and intention to enroll in a hypothetical online healthy lifestyle intervention for their youth (ages 11-17) with OW/OB and treated with psychotropic medication. Parents who were enrolled in the study (n = 84) completed demographic questionnaires and a TPB questionnaire which was constructed for this study. A confirmatory factor analysis (CFA) of the direct attitude (i.e., attitude toward the behavior, subjective norm, perceived behavioral control) questions generally supported the three-factor model (i.e., RMSEA = .07, 90% CI .03-.11, p = .18; CFI = .96, SRMR = .06). Results from a multiple regression analysis demonstrated that direct attitudes predicted parent intention to participate in an online healthy lifestyle intervention for this sample of youth accounting for 84% of variance. In this preliminary study, the TPB appears to be a promising framework for understanding direct attitudes associated with parent intentions toward intervention participation in this population of youth. Interventions for parents of youth with OW/OB who are prescribed psychotropic medication should consider addressing these direct attitudes to improve intention.

Validation of the German version of the 25-item hikikomori questionnaire 25.

The 25-item Hikikomori Questionnaire (HQ-25) is an instrument developed to measure a condition characterized by extreme social withdrawal that was first described in Japan. This study aimed to translate the HQ-25 into German and validate the German version (HQ-25-G). Translation was conducted according to established guidelines. Validation was based on data from a quota sample of individuals living in Germany, ranging from 18 to 74years old (representing the distribution of age, sex and federal state, n=5000). Data collection occurred during August and September 2023. We tested reliability, construct validity and concurrent validity. Moreover, HQ-25 scores for key sociodemographic group were reported. Internal reliability for the HQ-25-G was excellent (Cronbach's alpha=0.93). We confirmed the original three-factor model. Moreover, higher hikikomori levels were significantly associated with more depressive symptoms (r=0.50), more anxiety symptoms (r=0.45), higher loneliness levels (r=0.56), higher levels of objective social isolation (r=-0.47), higher levels of perceived social isolation (r=0.59) and a higher preference for solitude (r=0.45). In a large population-based sample (including younger adults, middle-aged adults and older adults), the HQ-25-G version proves to be a psychometrically robust instrument, which is useful for further exploring the phenomenon of hikikomori within the German-speaking population.

Turkish Adaptation and Psychometric Properties of Acceptance and Action Questionnaire for Weight-Related Difficulties-Revised

The aim of this study was to adapt the revised Acceptance and Action Questionnaire for Weight-Related Difficulties-Revised (AAQW-R) into Turkish language and examine its psychometric properties in a nonoverweight sample. This cross-sectional study included predominantly female individuals (83.2%), and mean age of the sample was 21.5. Final sample size included 161 university students. AAQW-R was translated into Turkish and translated back into English. Internal consistency levels for the total AAQW-R score and its subscales (i.e., food as control, weight as barrier to living, and weight stigma) were obtained for reliability. Measures of general experiential avoidance (AAQ-II), body anxiety (SPAS), dysfunctional eating attitudes (EAT-26), anxiety symptoms (GAD-7) and subjective happiness (SHS) were examined for convergent and divergent validity. Confirmatory factor analysis was conducted to examine the factor structure of the scale. The three-factor structure model was a good fit to the data (χ2 [N = 161] = 81.27, p < .001, RMSEA = .098, 90% CI [.072, .124]). The Turkish version of AAQW-R and the subscales indicated a good level of internal consistency (α value ranging between .70 and .87). AAQW-R was found positively correlated with general experiential avoidance, dysfunctional eating attitudes and anxiety symptoms, indicating support for convergent validity. No relationship between AAQW-R and subjective happiness demonstrated evidence for divergent validity. Overall, the Turkish version of AAQW-R is valid and reliable tool to measure weight-related experiential avoidance in nonoverweight sample.

Psychometric properties of the Five-executive Function Tests in Indonesian samples

Difficulties in executive function (EF) may be causative factors in clinical conditions, including learning disabilities, depression, and anxiety. However, defining the structure of EF is an ongoing issue, although Miyake’s three-factor structure is widely accepted. This study aims to discover the underlying factor structure of EF domains, as measured by five tests and the scores of 840 participants, to establish the domains’ validity and reliability. Five neuropsychological tests were included in the exploratory and confirmatory factor analyses (EFA and CFA): the Digit Span (DS); the Stroop Color Word Test (Stroop Test); the phonemic Verbal Fluency Test (pVFT); the Five Point Test (5PT); and the Trail Making Test (TMT). EFA could be meaningfully performed (KMO = .862, Bartlett’s test: 𝜒2 =1393.169, df 45, p .001) and yielded three factors closely mirroring the three core domains of EF. CFA of the model in which the 5PT loaded on factor 2 showed the best goodness of fit indicators, although the difference with the other three-factor models was small. Currently, these EF tests are available in Indonesia and suitable for use, although obtaining normative scores adjusted for demographic factors is necessary.

Development and psychometric evaluation of the death risk perception scale for advanced cancer patients

BackgroundAn accurate perception of death risk is a prerequisite for advanced cancer patients to make informed end-of-life care decisions. However, there is to date no suitable scale to measure death risk perception. This study was to develop and psychometrically test the death risk perception scale (DRPS) for advanced cancer patients.MethodsProcess of instrument development and psychometric evaluation were used. First, qualitative research, a literature review, brainstorming, a Delphi study, and cognitive interviews were conducted to construct a pretest scale of death risk perception. Second, a scale-based survey was administered to 479 advanced cancer patients. Item, exploratory factor, and confirmatory factor analyses were employed to optimize the scale. The Cronbach’s alpha was calculated as a reliability analysis. The validity analysis included construct, convergent, discriminant, and content validity values.ResultsA three-dimension, 12-item scale was developed, including deliberative, affective, and experiential risk perception. The confirmatory factor analysis supported the three-factor model with satisfactory convergent and discriminant validity levels. The Cronbach's alpha coefficient for internal consistency was 0.807 and scale-level content validity index was 0.98.ConclusionsThe 12-item DRPS is a reliable and valid instrument for assessing the level of death risk perception in advanced cancer patients. More studies are needed to examine its structure and robustness prior to use.

PUBLIC DISCLOSURE OF INFORMATION SECURITY BREACH INCIDENTS: SHORT-TERM STOCK MARKET REACTION ON INDIAN LISTED FIRMS

ABSTRACT Data breach incidents are growing by the day and firms struggle to detect, defend, and respond to such breaches. Nowadays, security breaches are considered one of the major concerns for corporate organizations around the world. Hence, it is essential to assess the impact of such breaches on organizations. This article reports stock price reaction due to public disclosure of information security breach (ISB) incidents on publicly traded firms of India. Using the event study methodology on a sample of 120 publicly announced ISB incidents between January 2004 and April 2019 pertaining to 69 publicly listed firms of India, we found that exposure to an ISB incident exacerbates negative stock price reactions based on both one-factor market model and Fama-French three-factor model. On average, breached firms lost 0.55% of their market value within two days post the announcement of ISB incidents. Further, we found some factors that significantly negatively impacted Cumulative Abnormal Return (CAR). Important emerging factors such as type of compromised data, sentiment, subjectivity, and remedial strategy significantly impact CAR. According to our study findings, we suggest that firms should mention remedial measures in terms of apology and/or compensation in the ISB disclosure. Furthermore, the result indicates that investors penalize listed firms for subsequent ISB incidents. Thus, our findings may guide Chief Information Officers (CIOs), information security managers, and IT managers of publicly traded firms to devise various strategies in terms of IT security measures and content of the ISB disclosure.

Credit default swap spreads modeling and forecasting with a stochastic square-root three-factor model

In this study, we consider the CIR3 model, a three-factor stochastic model with correlated trends and volatilities for modeling and forecasting credit default swap (CDS) spreads. After recalling existence and uniqueness results, together with a generalized Feller condition to ensure positivity, we use a Lamperti-type transform to rewrite our SDEs system in a form in which the stochastic part of the leading process is uncorrelated with those of its mean and volatility processes. Finally, we calibrate the model through the estimating function approach for ergodic diffusions and simulate the CDS prices by discretizing our (transformed) system. These findings contribute to a deeper understanding of stochastic models with correlated trends and volatilities, with applications in pricing, trading and risk assessment.

Development and characterization of topical ethosomal gel for improved antifungal therapeutics

The present study aimed to develop Eberconazole nitrate (EBZ)-loaded ethosomes using Central Composite Design (CCD) by the cold method. The three-factor CCD model was implemented to investigate the effect of variables on ethosome characteristics and performance. For CCD modelling, dependent and independent variables were chosen. The percentage of soy phosphatidylcholine (PC) (X1; % w/v), ethanol (X2; % v/v), and Propylene glycol (PG) (X3; % v/v) were designated as independent variables. However, the dependent variables were particle size (Y1; nm), polydispersity index (PDI) (Y2), and encapsulation efficiency (EE) (Y3; %). The level of independent variables was changed to produce a total of 17 batches (F1-F17). Formulation code F2 with particle size; 227.9 nm, PDI; 0.160 and % EE; 90 ± 0.34 % was selected as the optimized batch. The optimized batch was further incorporated into the hydrogel matrix and investigated for several physicochemical parameters. When compared to the free drug-loaded hydrogel, the ethosomes-loaded hydrogel demonstrated controlled EBZ release with higher skin permeation and skin retention of EBZ. The assessment of antifungal efficacy of the developed formulation was carried out by in vivo animal model method. In vivo studies demonstrated that EBZ-loaded ethosomal gel may alleviate fungal infection caused by a resistant strain of Candida albicans. The study showed satisfactory results, which suggest the suitability of the developed formulation for the effective treatment of fungal infection.

Construct validity of the Coding Interactive Behaviour instrument for fathers of infants

ABSTRACT Observational instruments are proposed as the best method to assess the quality of parent–child interaction. However, the psychometric properties and theoretical foundations of these observational tools have been questioned. Further, very few studies have focussed on the construct validity of these instruments for father–child interaction quality. In this study, we examined the construct validity of the Coding Interactive Behavior (CIB) measure in a sample of 320 father-infant dyads. A four-factor model, previously found to fit mother–infant interactions, failed to demonstrate an acceptable model fit for our father-infant sample. Instead, a data-driven three-factor model was indicated to be a better fit. This model consists of the composites, ‘Paternal Sensitivity’, ‘Paternal Positive Affect’, and ‘Child Engagement’. Interestingly, while these factors bear similarities to those found in maternal interactions, they manifest distinct characteristics for fathers. Our results emphasize the necessity of refining and validating observational tools specifically for diverse parent–child contexts.

Psychometric properties of two instruments assessing catastrophizing and fear-avoidance behavior in mild traumatic brain injury.

Psychometrically sound measures of catastrophizing about symptoms and fear avoidance behavior are needed to further applications of the fear-avoidance model in mild traumatic brain injury (mTBI) for research and clinical purposes. To this end, two questionnaires were adapted (minor), the Postconcussion Symptom Catastrophizing Scale (PCS-CS) and the Fear of Mental Activity Scale (FMA). This study aimed to investigate the factor structure, internal consistency, test-retest reliability, and concurrent and construct validity of two adapted questionnaires in a sample of participants with mTBI compared to participants with orthopedic injury and healthy adults. One hundred eighty-five mTBI participants (40% female), 180 participants with orthopedic injury (55% female), and 116 healthy adults (55% female) participated in the study. All participants were assessed at two time points (2 weeks postinjury and 3 months) using self-reported questionnaires. Data were collected using online questionnaires. Findings indicated a three-factor model (magnification, rumination, helplessness) with a higher order factor (catastrophizing) for the PCS-CS and a two-factor model (activity avoidance and somatic focus) for the FMA. The results showed strong internal consistency, good test-retest reliability, and good concurrent and convergent validity for the PCS-CS and FMA across all samples. This study has shown that the PCS-CS and FMA are psychometrically sound instruments and can be considered for valid and reliable assessment of catastrophizing about postconcussion like symptoms and fear-avoidance beliefs about mental activities. These instruments can be used in research and clinical practice applications of the fear-avoidance model and add to explanations of prolonged recovery after mTBI. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Risk-Return Trade-Off of US Renewable Energy Sector

This study applies the Fama-French three-factor model to analyze the impact of market risk premium, size, and value factors on the stock returns of eight major renewable energy companies listed on the U.S. stock market. Employing linear regression analysis. The analysis indicates that while market trends heavily influence stock returns, the size and value factors' effects vary across different companies. This study contributes to understanding the financial performance of renewable energy firms and underscores the need for industry-specific risk management approaches to bolster investor confidence and facilitate sector growth. The results serve as a foundational reference for investors and policymakers interested in the renewable energy market's dynamics and its future development trajectory.

Scale Validation and Attributional Analysis of Public Stigma in Early-Pandemic COVID-19.

To test the validity of a COVID-19 public stigma scale and an attributional model of stigma during the early stages of the pandemic. We administered a cross-sectional survey that included scales related to COVID-19 stigma to U.S. adults. We used Amazon MTurk online survey panel to recruit participants in June 2020. U.S. adults (N = 170) participated in the study. Participants were average age of 37 and majority were men (61.2%) and White (77.6%). The Stigma Towards Disease Scale (SDS) was adapted to measure public stigma directed towards COVID-19 (SDS-C19). Additional stigma-related measures were adapted for this study. Factorial structure of SDS-C19 was assessed using confirmatory factor analysis (CFA). Validity of SDS was examined using Pearson correlations with other stigma measures. We evaluated the attributional model of stigma using structural equation modeling. Internal consistency of SDS-C19 was high and a three-factor model reflecting cognitive, affective, and behavioral factors was supported (χ2 [71, N = 170] =140.954, P = .00, CFI= .946, TLI = .931, RMSEA = .076, SRMR = .087). The SDS-C19 had strong correlations with other stigma-related measures. A blame-mediated attribution model was supported (χ2 [8, N = 170] = 21.793, P = .00, CFI = .976, TLI =.956, RMSEA = .101, SRMR = .058). The SDS-C19 is a valid tool for assessing COVID-19 stigma. SDS-C19 and the attribution model can guide public health communication.

Development and validation of a short clinical risk management implementation (Short CRiMI) questionnaire

Clinical Risk Management (CRM) is an important instrument to continuously improve safety of health care delivery. In Germany, hospitals are required by law to implement CRM and incidence reporting systems. Since 2010, nation-wide surveys have been conducted periodically to evaluate implementation of CRM in hospitals. The instrument used in these surveys is constantly being updated to reflect previous experiences, as well as to adapt to ongoing trends and developments in CRM practices. The survey instrument used in 2022 consisted of up to 200 items and took up to an hour to complete. In this study, we aimed to develop a short instrument to measure the level of CRM implementation in hospitals, evaluate its psychometric properties, and to offer benchmarking data for health care facilities of different sizes.We used data collected in 2022 as part of KHaSiMiR study, employing a cross-sectional self-reported online survey. The hospital administrations were invited to designate one CRM manager to participate in the study. Out of 1,411 general hospitals invited, 401 responses were collected (response rate of 28%). After removing the cases with excessive missings, we imputed remaining missing values using multiple imputation, and split the resulting sample (n=362) in two halves (i.e., exploratory and testing subsamples). A principal component analysis was applied on the first subsample. We validated the resulting model using confirmatory factor analysis in the testing subsample. We evaluated internal consistency, and tested external validity of the established instrument using correlation analysis with two single-item measures: subjective evaluation of CRM implementation compared to similar organizations and compared to own ideal level. The principal component analysis included 45 items from the full instrument. The analysis resulted in a three-factor model with 26 items. In the confirmatory factor analysis, the model demonstrated acceptable fit with the data according to the commonly used fit indices: Chi2/df=1.36, CFI=0.941, TLI=0.930, RMSEA=0.045 (90% CI=0.032–0.056), SRMR=0.049. Cronbach’s alpha of all three factors was good (>0.70). All three factors had statistically significant positive correlations with each other (0.359–0.497) and with the two single items (0.282–0.532). None of the correlations were high enough (>0.7) to indicate multicollinearity.The proposed short clinical risk management implementation (Short CRiMI) questionnaire is psychometrically valid and can be used to rapidly evaluate CRM implementation in hospitals. Further research can provide evidence of its external validity and association with quality and safety outcomes. Benchmarking data can be used to compare the results with the data from the most recent Germany-wide survey.

Validation of the Mediated Learning Observation Instrument Among Children With and Without Developmental Language Disorder in Dynamic Assessment.

In this validation study, we examined the factor structure of the mediated learning observation (MLO) used during the teaching phase of dynamic assessment. As an indicator of validity, we evaluated whether the MLO factor structure was consistent across children with and without developmental language disorder (DLD). Two hundred twenty-four children (188 typically developing and 36 DLD) from kindergarten to second grade completed a 30-min individual mediated learning session on narrative production. Performance during the session was rated using the 12-item MLO by clinicians on affect, behavior, arousal, and elaboration. Exploratory and confirmatory factor analyses were conducted to establish the factor structure and reliability of the MLO. Factor analysis of the MLO suggested a stable three-factor model with adequate fit indices across kindergarten and school-age samples, across both typically developing and DLD subgroups with good to excellent reliability. The final 11-item MLO (one item was removed due to low factor loading) comprises three subscales including (a) cognitive factor, (b) learning anticipation, and (c) learning engagement. The MLO is a valid and reliable instrument for assessing language learning skills in children with and without DLD during dynamic assessment. Practical implications and suggestions for future research addressing the utilization of MLO in dynamic assessment are provided.

Machine Learning and Fama-French Three-Factor Model Applications for Analyzing Stock Price in Technology Enterprises

This study endeavors to forecast the stock prices of the leading U.S. technology entities - Google, Microsoft, Amazon, Meta, and Apple - through the application of diverse machine learning models, complemented by the traditional Fama-French three-factor model. The employed models encompass Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Support Vector Machines (SVM), and Decision Tree models. Initially, historical stock price data is utilized to train these machine learning models, enabling the identification of potential price trends. Subsequently, the integration of the Fama-French three-factor model enhances the analysis by scrutinizing the impacts of market risk, company size, and book-to-market value on stock prices. The outcomes illuminate both the effectiveness and limitations of various models in stock price prediction, highlighting the advantages of machine learning methodologies over traditional financial theories. This research provides financial market analysts and investors with a fresh perspective on the amalgamation of machine learning and traditional financial theories for enhanced stock price prediction.

Examining the Adaptation of the Fama-French Three-Factor and Five-Factor Models in the US Market

The adaptability of the Fama-French three-factor and five-factor models in distinct markets is currently a key research topic. Some researchers are investigating whether the FF3FM and FF5FM are reasonable frameworks for explaining excess returns in stock markets by testing them with data from different markets. This paper mainly explores the adaptability of FF3FM and FF5FM in the US stock market, and adds CAPM to the comparison. This article uses the daily factors’ data and the daily average value weighted returns in 6 portfolios formed on size and book-to-market in the Kenneth French database website to construct a linear regression model to study the explanatory power of FF3FM and FF5FM in the US stock market. In order to determine whether these factors are parts of an effective asset pricing model, this paper assesses the efficacy, robustness, and reliability of factors in explaining asset returns using the Durbin-Watson test, the correlation matrix, and the sub-period analysis, which also confirm whether these factors have statistical significance, economic significance, and stability. It is found that the explanatory power of FF5FM is stronger than that of FF3FM in the US stock market. While both profitability and investment factors have relatively modest explanatory power, size and value factors offer significant explanatory power for stock returns.

Psychometric properties of the Spanish student version of Perceptions of Inclusion Questionnaire (PIQ-Spa) in a sample of adolescents

ABSTRACT The Perceptions of Inclusion Questionnaire (PIQ) assesses the perceptions of inclusion in 3rd to 9th grade students through three scales: social inclusion, emotional inclusion, and academic self-concept. This study aimed to establish the psychometric properties of the Spanish version of the instrument (PIQ-Spa) since no prior formal validation of the PIQ-Spa has been conducted. One thousand Spanish adolescents (12 to 16 years, M = 14, SD = 1.41) participated. The analytical process involved four phases. The initial phase employed confirmatory factor analysis to compare one-factor and three-factor models. Subsequent phases assessed the reliability, convergent, and discriminant validity of the instrument. The model with three correlated factors obtained the best indices of overall fit. Convergent validity was supported by significant factor loadings and average extracted variances (AVE) exceeding 0.5 for all factors. Discriminant validity was supported by confidence interval tests, HTMT ratios, and average extracted variances exceeding the squared correlations between factor pairs. These findings offer robust support for the PIQ-Spa’s validity and reliability in assessing Spanish adolescents’ perceptions of inclusion. Within the Spanish educational landscape, the PIQ-Spa can equip educators with a deeper understanding of student perceptions, enabling them to identify areas for improvement in fostering inclusive school environments.

Crossing the distance: University student newcomer socialization in online semesters—a case study

AbstractDuring the COVID-19 pandemic, emergency online learning impeded the pursuit of in-person activities that usually foster successful socialization in higher education. To investigate the effects of online learning on socialization, we asked two exploratory research questions: (1) How and to what extent does the level of socialization change during the first online semester? and (2) To what extent does level of change predict course dropout and academic performance? In our case study, using a sample of new students at a large German university, we ran an autoregressive three-factorial model of socialization (role, relationships, organization) with three measurements taken during the new students’ first semester, which was the second semester in which emergency online learning took place. Our results show that the relationships component of socialization did not increase over the semester, while the role and organization components increased. Furthermore, our results support a negative effect of the organization component of socialization on course dropout and a positive effect of the relationship component of socialization on academic performance.

Impact of COVID-19 Travel Subsidies on Stock Market Returns: Evidence from Japanese Tourism Companies

This study examines stock market response (SMR) to the Japanese tourism industry (TI) after the government’s announcement of travel subsidies (TRSs) during the COVID-19 pandemic in 2020, using a sample comprising 80 listed Japanese firms in the TI and an event study method (ESM) to determine the impact of government policy responses (GPRs) to the pandemic. This study found that investors in the TI reacted positively to the announcement of subsidies; this positive effect persisted for 50 trading days after the announcement but was weaker for transportation firms. The results suggest that TRSs are important for the TI, with a stronger link to travel-related firms, such as airlines and travel agencies, hotels, and amusement services. However, investors in the TI reacted negatively to policies that directly addressed the pandemic, such as social distance policies (SDPs). These results are robustly confirmed when we measure abnormal returns by using a three-factor model. The results offer useful insights for policymakers and practitioners aiming to mitigate economic loss from disasters such as the COVID-19 pandemic.