Testing the Factor Structure and Measurement Invariance Across Gender of the Big Five Inventory Through Exploratory Structural Equation Modeling

Confirmatory factor analyses (CFAs) typically fail to support the a priori 5-factor structure of Big Five self-report instruments, due in part to the overly restrictive CFA assumptions. We show that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory factor analysis, overcomes these problems in relation to responses to the 44-item Big Five Inventory (BFI) administered to a large Italian community sample. ESEM fitted the data better and resulted in less correlated factors than CFA, although ESEM and CFA factor scores correlated at near unity with observed raw scores. Tests of gender invariance with a 13-model taxonomy of full measurement invariance showed that the factor structure of the BFI is gender-invariant and that women score higher on Neuroticism, Agreeableness, Extraversion, and Conscientiousness. Through ESEM one could address substantively important issues about BFI psychometric properties that could not be appropriately addressed through traditional approaches.     

The factor structure and criterion validity of the short form of the Eating Attitudes Test.

One of the more frequently used measures of eating disorders is the 40-item Eating Attitudes Test (EAT) developed by Garner and Garfinkel (1979). Although originally designed to diagnose anorexia nervosa, the test has recently been applied to nonclinical populations also. In this study, we examined psychometric and validity data for a short version of the scale, the EAT-26. Using a sample of 809 female soldiers in their late teens, results showed that the EAT-26 is reliable, the factor structure is different from that obtained in clinical groups, and the EAT-26 is significantly correlated with body image, weight, and diet.     

Evidence for a Higher-Order ESEM Structure of ADHD in a Sample of Chinese Children

Exploratory structural equation modeling (ESEM) solutions have been proposed to represent the factor structures of attention-deficit/hyperactivity disorder (ADHD) in recent literature, yet no studies have assessed those structures in Chinese children. The primary aim of this study was to comprehensively examine the factor structures of the Chinese version of the ADHD Rating Scale-IV (ADHD RS-IV): Home Version. Data on 458 Chinese children aged 3–8 years (boys: 246; 54%) were used to test and compare eleven factor models: confirmatory factor analysis (CFA) models (one-factor, two-factor and three-factor), second-order CFA model, bifactor CFA models (two and three specific factors), ESEM models (two-factor and three-factor), second-order ESEM model, and bifactor ESEM models (two and three specific factors). The results showed that, overall, ESEM models displayed better fit than CFA models. Specifically, the second-order ESEM model with three first-order factors best represented of the ADHD factor structure in our sample. In addition, measurement invariance testing results showed that scalar invariance was established across gender, age and informant groups. Implications for future research are discussed.

     

Factor structure and measurement invariance of the multidimensional driving style inventory across gender and age: An ESEM approach

The Multidimensional Driving Style Inventory (MDSI) is the most comprehensive measure of typical driving behavior to date and has been frequently used to compare driving styles across different groups of drivers, particularly between gender- and age-related groups. However, the factor structure of MDSI has not been clearly established and its measurement invariance has not been demonstrated. The goal of the present study was to examine the internal structure and measurement invariance of the MDSI across gender and age. A sample of 1277 drivers from Argentina responded to the Argentinian version of the MDSI. Exploratory structural equation modeling (ESEM) was used to test the factor structure and measurement invariance across females (n = 602) and males (n = 675), and across young (18–29, n = 558), adult (30–49, n = 395) and older (50 and older, n = 317) drivers. The results showed that a 36-item six-factor ESEM model represented by risky, angry, dissociative, anxious, distress-reduction and careful and patient driving styles was the best model based on fit indices and interpretability. Configural, weak and strong invariance of the six-factor ESEM model across gender and age was also supported. The MDSI in its Argentinian version is equivalent across gender and age, supporting the validity of previous research findings examining gender and age differences in driving styles. Future studies should examine the measurement invariance of the MDSI across other relevant driving-related variables.     

Multidimensional structure and measurement invariance of school engagement

This study examined the multidimensional structure and measurement invariance of a school engagement instrument using confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), bifactor CFA (BCFA), and bifactor ESEM (BESEM). Participants consisted of 1731 students in Grades 9 - 11 from the 4-H Study of Positive Youth Development in the United States. The use of the CFA, ESEM, BCFA, and BESEM models was expected to provide more insight into the cross-loading and hierarchical structures of school engagement. We found empirical evidence to support the (a) tripartite factor structure of school engagement, (b) existence of cross-loadings and hierarchical structures, (c) measurement invariance across gender (male vs female) and race (European American vs African American), and (d) expected latent means differences by gender.     

Psychometric Properties of the Power of Food Scale in a Community Sample of Preadolescents and Adolescents

The Power of Food Scale (PFS) was developed to assess hedonic hunger, or how individuals think and feel about food and eating in the absence of metabolic need. The measure was originally developed and validated in two adult samples, and recent preliminary support has been provided for the validity in a sample of preadolescents. The aim of the current study was to conduct a confirmatory factor analysis (CFA) on the PFS in a community sample of preadolescents and adolescents to examine the psychometric properties in youth. Participants were 148 youth ages 11–18 (M = 12.85) from two Midwestern communities in the United States. Participants completed the PFS to assess for hedonic hunger. Structural equation modeling was used to conduct multiple CFAs to test varying factor structures of the PFS in preadolescents and adolescents. Results suggested that the scale was best represented by the previously established 15-item version of the measure with an aggregate domain and three subscales based on food proximity (i.e., food available, food present, and food tasted). Results from the CFA revealed that the measurement model had a close fit (RMSEA = 0.033, CFI = 0.985). Cronbach’s α for the total scale and the three subscales ranged from 0.86 to 0.95. Findings suggest that the previously established factor structure of the 15-item PFS best represents the factor structure of the measure in a community sample of preadolescents and adolescents.     

Analysis of the factor structure of the Sociocultural Attitudes Towards Appearance Questionnaire (SATAQ-3) in Spanish secondary-school students through exploratory structural equation modeling

The aims of the present study were: (1) to assess the factor structure of the SATAQ-3 in Spanish secondary-school students by means of exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) models; and (2) to study its invariance by sex and school grade. ESEM is a technique that has been proposed for the analysis of internal structure that overcomes some of the limitations of EFA and CFA. Participants were 1559 boys and girls in grades seventh to tenth. The results support the four-factor solution of the original version, and reveal that the best fit was obtained with ESEM, excluding Item 20 and with correlated uniqueness between reverse-keyed items. Our version shows invariance by sex and grade. The differences between scores of different groups are in the expected direction, and support the validity of the questionnaire. We recommend a version excluding Item 20 and without reverse-keyed items.     

The Value of Exploratory Structural Equation Modeling in Identifying Factor Overlap in the Mental Health Continuum-Short Form (MHC-SF): A Study with a New Zealand Sample

This study is the first to investigate the factor structure of the Mental Health Continuum-Short Form (MHC-SF) in New Zealand. Towards this end, traditional Confirmatory Factor Analysis (CFA) and the new method of Exploratory Structural Equation Modeling (ESEM) were used. Both ESEM and CFA supported the tripartite model of mental well-being in comparison to the one- and two-factor models; however, ESEM provided better fit with the data. Moreover, interfactor correlations were considerably lower in ESEM than they were in CFA, indicating greater factor distinctiveness in ESEM. ESEM also revealed a number of important cross-loadings for items in the measurement model of the MHC-SF. The results supported full metric and full scalar invariance of the MHC-SF across gender. The attenuated correlations among well-being factors obtained by ESEM here provide an important insight about the ongoing controversy regarding the failure of empirical research to identify distinct eudaimonic and hedonic factors in well-being measures. An overreliance on CFA methods may have led the field to rely on inflated estimates of shared variance between eudaimonia and hedonia.     

中国青少年积极发展量表（简版）的编制：基于一个大样本数据

中国青少年积极发展量表是一个多维度的测评青少年发展过程中积极特性（即品格、能力、自信和联结）的量表,共98个项目。为提高量表的应用推广性,本研究基于一个大样本数据（n=16317, M_年龄=13.13岁, SD=2.52岁）创建了一个该量表的简化版本。通过一系列的验证性因素分析、项目筛选、信效度检验以及交叉验证,简化后量表共48个项目。结果显示,简版量表与原始完整版量表有足够的概念重合度和剖面相似性,且具有可以接受的信效度和测量结构的等值性。     

Measurement Invariance of the Adolescent Quality of Life-Mental Health Scale (AQOL-MHS) across Gender,Age and Treatment Context

The Adolescent Quality of Life-Mental Health Scale (AQOL-MHS) was designed to measure quality of life in clinical samples of Latino adolescents aged 12–18 years, but has also been used in community samples. The original measure included three factors: Emotional Regulation (ER), Self-Concept (SC) and Social Context (SoC). The goals of this study are to replicate the factor structure using confirmatory factor analysis (CFA), shorten the instrument and test the degree of measurement invariance across gender, age, and type of sample. Participants for the analyses (N?=?354) came from two populations in the San Juan Metropolitan Area: (1) adolescents from randomly selected households, using a multi-stage probability sampling design (n?=?295), and (2) adolescents receiving treatment at mental health clinics (n?=?59). We first carried out a conceptual item analysis for item reduction purposes and then assessed dimensional, configural, metric and scalar invariance for each factor using the Mplus software system. The original 3-factor structure was replicated with comparable model fit in each treatment context. Metric invariance was attained for all three scales across groups. Either full or partial scalar invariance was also observed with DIF in a total of 6 items. Invariance testing supports the use of the abridged 21 item version of the AQOL-MHS to compare diverse individuals with little bias using observed scores, but for refined estimates the ideal scoring will be from a latent variable model.     

Revisiting the Empirical Distinction Between Hedonic and Eudaimonic Aspects of Well-Being Using Exploratory Structural Equation Modeling

The distinction between hedonic (i.e., subjective well-being) and eudaimonic (i.e., psycho-social functioning) components of well-being is questioned by some researchers on the grounds that these two aspects of well-being are highly correlated. However, I argue that previous research has relied on confirmatory factor analysis (CFA), which is likely to overestimate interfactor correlations, because cross-loadings are constrained to be zero in CFA. In contrast, the new method of exploratory structural equation modeling (ESEM) does not constrain cross-ladings to zero, which results in more accurate factor intercorrelations. The present study used ESEM to reinvestigate the relationship between hedonic and eudaimonic aspects of well-being in a sample of 3986 American adults. The results showed that the ESEM model fitted the data better than the CFA model. As expected, interfactor correlations obtained with ESEM were substantially smaller than those obtained with CFA, indicating greater factor distinctiveness. These results suggest that hedonic and eudaimonic factors are correlated yet largely independent from each other. The results also suggest that ESEM is a more appropriate method than CFA in the study of multi-dimensional constructs, such as mental well-being.     

Assessment of Psychopathic Traits in Singaporean Adolescents: Validation of the Antisocial Process Screening Device (APSD)

There is little knowledge available concerning psychopathic traits in Asian adolescents; a lack of a suitable measurement instrument for assessing psychopathy in Asian societies may account for this. This study aimed to validate a widely used scale in the West — the Antisocial Process Screening Device (APSD) — in Singaporean school-based and at-risk adolescents. Using an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA), this study examined the two-factor (i.e., grandiose-manipulative/impulsive traits and callous-unemotional traits) and three-factor (i.e., grandiose-manipulative traits, impulsivity, and callous-unemotional traits) models of the APSD in 1027 school-based and 113 at-risk adolescents. School samples are adolescents from three secondary schools, while at-risk samples are adolescents who manifest different types of delinquent behaviors and are either placed in more structured settings or need closer supervision although they have not violated the law. Gender invariance was further tested in the school-based sample by conducting a multigroup CFA. The convergent validity of the APSD was also investigated in the school-based sample. For the school-based adolescents, the APSD revealed that the three-factor model provided a superior fit over the two-factor model and the factorial invariance across gender. Significant relationships between the three dimensions of the APSD and aggression and delinquency support the convergent validity of the APSD. As for the at-risk adolescents, both the two- and three-factor models were acceptable, but the two-factor model was preferred as it was parsimonious and it aligned with the conceptualized characteristics of psychopathic traits. Findings suggest that the APSD is a reliable and sound instrument for measuring psychopathic traits in Asian school-based and at-risk adolescents.     

Assessment of dispositional forgiveness in adolescence: a contribution to the Italian validation of the Forgiveness Likelihood Scale

ABSTRACT

The current study investigated the factor structure, factorial invariance, and reliability of the Italian version of the Forgiveness Likelihood Scale (FLS) among 604 adolescents in Italy (217 boys and 387 girls) with a mean age of 16.6 years (SD?=?1.3). The FLS is a 10-item Likert-type scale created to assess the predisposition to forgive across situations. The sample was randomly split into two subsamples to investigate the FLS structure. Results indicated a unidimensional structure, and factorial invariance was found for the factor solution across gender. Scale reliability was adequate, revealing appropriate internal consistency (α?=?.75). Evidence for convergent validity was also found. The results suggested that the Italian version of the FLS can be reliably used to measure forgiveness among Italian adolescents. Practice implications and future research directions are discussed.     

Validating the Beck Depression Inventory-II for Hong Kong Community Adolescents

The primary purpose of this study was to test for the validity of a Chinese version of the Beck Depression Inventory-II (C-BDI-II) for use with Hong Kong community (i.e., nonclinical) adolescents. Based on a randomized triadic split of the data (N = 1460), we conducted exploratory factor analysis on Group1 (n = 486) and confirmatory factor analysis (CFA) within the framework of structural equation modeling on Groups 2 (n = 487) and 3 (n = 487); the second CFA served as a cross-validation of the determined factor structure. Factor analytic results, based on a 4-factor structure that comprised 1 2nd-order general factor of Depression and 3 1st-order factors representing Negative Attitude, Performance Difficulty, and Somatic Elements, replicated those reported previously for Canadian (Byrne & Baron, 1993), Swedish (Byrne, Baron, Larsson, & Melin, 1995), and Bulgarian (Byrne, Baron, & Balev, 1998) nonclinical adolescents. Based on this cross-validated factor structure, findings related to internal consistency reliability, stability over a 6-month time lag, and relations with relevant external criteria provided strong support for the valid use of the C-BDI-II in measuring depressive symptoms for Hong Kong community adolescents.     

Reliability,Validity and Invariance of the Narcissistic Personality Questionnaire for Children-Revised (NPQC-R)

Using confirmatory factor analysis, this study compared the 4-factor 18-item Narcissistic Personality Questionnaire for Children (NPQC) and the 2-factor, 12-item Narcissistic Personality Questionnaire for Children-Revised (NPQC-R). Support was found for the 2-factor structure of the 12-item NPQC-R using two independent adolescent school-based samples (n = 479 and n = 470). The 2-factor NPQC-R model (i.e., Superiority, Exploitativeness) showed a better fit in both adolescent samples than the alternative 4-factor NPQC model. There was strong support for NPQC-R’s invariance across gender and age. The NPQC-R was found to have reasonable internal consistency estimates, test–retest reliability estimates, and adequate convergent and discriminant validity estimates. Collectively, these results support the utility of the NPQC-R as a measure of narcissism in children and adolescents. A copy of the NPQC-R and scoring key can be obtained from Rebecca P. Ang.     

Invariance of a two-factor model of Social Dominance Orientation across gender

This research examined the measurement and structural invariance of the 16-item Social Dominance Orientation (SDO) scale across gender. The Social Dominance Theory (SDT) invariance hypothesis proposes that men are higher than women in SDO. Tests of this hypothesis have compared summary scores with t-tests, but there is no psychometric work of measurement invariance across gender, which makes interpretation of t-test comparisons problematic. Some research suggests the scale captures two distinct factors: support for group-based dominance (GBD) and general opposition to equality (OEQ). However, gender differences in GBD and OEQ have mixed findings. Results replicated the two-factor structure. Multiple-group CFA indicated that loadings, intercepts, factor variances, and factor covariance are equivalent across gender. Males demonstrated higher latent means of GBD and OEQ, supporting the SDT invariance hypothesis.     

Psychometric assessment of the Mindful Attention Awareness Scale (MAAS) among Chinese adolescents

The Mindful Attention Awareness Scale (MAAS) has the longest empirical track record as a valid measure of trait mindfulness. Most of what is understood about trait mindfulness comes from administering the MAAS to relatively homogenous samples of Caucasian adults. This study rigorously evaluates the psychometric properties of the MAAS among Chinese adolescents attending high school in Chengdu, China. Classrooms from 24 schools were randomly selected to participate in the study. Three waves of longitudinal data (N = 5,287 students) were analyzed. MAAS construct, nomological, and incremental validity were evaluated as well as its measurement invariance across gender using latent factor analyses. Participants' mean age was 16.2 years (SD = 0.7), and 51% were male. The 15-item MAAS had adequate fit to the one-dimensional factor structure at Wave 1, and this factor structure was replicated at Wave 2. A 6-item short scale of the MAAS fit well to the data at Wave 3. The MAAS maintained reliability (Cronbach's α = .89-.93; test-restest r = .35-.52), convergent/discriminant validity, and explained additional variance in mental health measures beyond other psychosocial constructs. Both the 15- and 6-item MAAS scales displayed at least partial factorial invariance across gender. The findings suggest that the MAAS is a sound measure of trait mindfulness among Chinese adolescents. To reduce respondent burden, the MAAS 6-item short-scale provides an option to measure trait mindfulness.     

数学家庭作业动机量表在中国青少年群体中的信效度检验

目的:在中国青少年中对数学家庭作业动机量表进行修订并考察其信效度。方法:采用方便取样选取762名青少年,对数学家庭作业动机量表进行项目分析、探索性因素分析、验证性因素分析、测量等值性检验以及信效度分析。结果:中文版数学家庭作业动机量表包括认同调节、内部动机、外在调节和内摄调节4个因素,并具有跨性别和跨年龄组的测量等值性以及良好的效标效度和信度。结论:修订后的数学家庭作业动机量表具有良好的心理测量学指标,可以作为测量和评估中国青少年数学家庭作业动机的有效工具。     

Facets of the Childhood Anxiety Sensitivity Index Among Serbian Youth

Data from factor analytic studies using the Child Anxiety Sensitivity Index (CASI) suggest that global anxiety sensitivity (AS) is best represented by three or four underlying factors or facets. The aim of this study was to identify facets best representing the CASI structure in its Serbian version. Confirmatory factor analysis was used on data collected from 456 non-referred children in Serbia. A 13-item version of the CASI provided a better fit to the data than the original 18-item version. The four-factor model of the CASI-13 with disease, unsteady, mental incapacitation, and social concerns facets provided the best fits for the data and it was found to be fully invariant (configural, metric, and scalar invariance) across gender and age. Among Serbian children, hierarchical structure was found for a 13-item CASI version with a single higher-order factor of global AS represented by four underlying facets. Future research will consider these AS facets and their role in the development, maintenance, and exacerbation of anxiety symptoms in children.     

Structure factorielle et qualités psychométriques du questionnaire d’auto-évaluation pour adolescents (Youth Self-Report) d’Achenbach et Rescorla

IntroductionRecent research on the prognostic significance of subthreshold comorbid disorders highlighted the need for instruments allowing for the comprehensive exploration of symptomatology of adolescents.ObjectiveTo verify the factor structure and psychometric properties of the Achenbach and Rescorla's Youth Self-Report French translation, which allows this investigation.MethodWe had 1450 adolescents 11–17- year old (747 girls) complete the YSR in secondary schools in the Paris metropolitan area.ResultsConfirmatory Factor Analyses and Exploratory Structural Equation Modeling supported the 8-syndrome structure. However, since ESEM allows cross-loadings, the number of indicators for each factor in the ESEM models is much higher than in the CFA models. Internal consistency and test-retest reliability were satisfactory, and multigroup analyses confirmed the metric and scalar invariance across age and gender of most of the items examined (70 out of 89). We can therefore affirm that girls score lower on Social problems than boys, 15–17-year-old adolescent score higher on Thought problems, Attention problems, and Rule-Breaking Behavior than the younger, and these differences are substantive and independent of differential item functioning.ConclusionThese results are likely to encourage the use of YSR in research and clinical practice with French-speaking adolescents.