An Exploratory and Confirmatory Factor Analysis of the Affective Control Scale in an Undergraduate Sample

A considerable amount of clinical research interest has recently developed regarding emotion dysregulation and psychopathology. Many have suggested that distinct affective management deficits may characterize anxiety and mood pathology. Despite increased research attention, efforts to validate and sufficiently investigate the psychometric properties of many self-report measures of affect regulation have been lacking. The current study examined the response behavior of 1566 undergraduate participants who completed the Affective Control Scale (ACS). The ACS assesses fear of intense emotion, and it is frequently used in empirical research. The present investigation examined the structural qualities of the measure using exploratory and confirmatory factor analytic techniques. Findings suggest the original four rationally-derived subscales do not adequately fit the observed response patterns. Rather, results indicated that a five-factor solution that included a subscale measuring emotion mismanagement better represented response behavior. Additional normative data and bivariate correlations with other measures of emotion regulation and affect are presented.     

Confirmatory and Exploratory Factor Analyses of Parental Authority Questionnaire in Urban India

The present study examined the factor structure of a widely used measure of parenting style in three samples from Northwestern India. College Students (n = 195) completed Parental Authority Questionnaire (PAQ; Buri in J Pers Assess 57:110–119, 1991), and mothers of children attending high-school (n = 275), and middle-school (n = 145) completed its parent-report version Parental Authority Questionnaire-Revised (PAQ-R; Reitman et al. in J Psychopathol Behav Assess 24:119–127, 2002). Preliminary findings revealed that across three samples Cronbach’s alpha values ranged from poor to acceptable, with permissive parenting subscale of the PAQ/PAQ-R having the lowest value, whereas the authoritarian parenting had the highest value. Confirmatory factor analysis revealed that none of the models achieved satisfactory fit (i.e., CFI > .90). Exploratory factor analysis revealed that a two factor structure (with first component consisting of authoritative and permissive items, and the second component consisting of authoritarian items) rendered Cronbach’s alpha in the acceptable range. Only PAQ/PAQ-R authoritarian scale was correlated with youth adjustment problems across all three samples, while findings concerning authoritative and permissive scales were mixed. The findings suggest that only PAQ/PAQ-R authoritarian scale is reliable and valid in urban, middle-class, educated families in India, and encourage researchers to develop culturally relevant measures of parenting for this population.     

The Measurement of Engagement and Burnout: A Two Sample Confirmatory Factor Analytic Approach

This study examines the factorial structure of a new instrument to measure engagement, the hypothesized `opposite' of burnout in a sample of university students (N=314) and employees (N=619). In addition, the factorial structure of the Maslach-Burnout Inventory-General Survey (MBI-GS) is assessed and the relationship between engagement and burnout is examined. Simultaneous confirmatory factor analyses in both samples confirmed the original three-factor structure of the MBI-GS (exhaustion, cynicism, and professional efficacy) as well as the hypothesized three-factor structure of engagement (vigor, dedication, and absorption). Contrary to expectations, a model with two higher-order factors – burnout and engagement – did not show a superior fit to the data. Instead, our analyses revealed an alternative model with two latent factors including: (1) exhaustion and cynicism (core of burnout); (2) all three engagement scales plus efficacy. Both latent factors are negatively related and share between 22% and 38% of their variances in both samples. Despite the fact that slightly different versions of the MBI-GS and the engagement questionnaire had to be used in both samples the results were remarkably similar across samples, which illustrates the robustness of our findings.     

The Broaching Attitudes and Behavior Survey (BABS): An Exploratory Assessment of Its Dimensionality

The continuum of broaching behavior is a conceptual framework explicating how counselors broach or have explicit discussions about racial, ethnic, and cultural factors with their clients during treatment ( Day‐Vines et al., 2007 ). Counselors can assume 5 particular broaching orientations: avoidant, isolating, continuing/incongruent, integrated/congruent, and infusing. The authors operationalized the continuum of broaching behavior using the Broaching Attitudes and Behavior Scale and found support for a 4‐factor model of broaching behavior. El espectro de comportamiento de abordamiento es un marco conceptual que explica cómo los consejeros abordan o tienen discusiones específicas sobre factores raciales, étnicos y culturales con sus clientes durante el tratamiento ( Day‐Vines et al., 2007 ). Los consejeros pueden asumir 5 orientaciones de abordamiento particulares: evasiva, aislante, continua/incongruente, integrada/congruente e infundida. Los autores operativizaron el espectro de comportamiento de abordamiento usando la Escala de Actitudes de Abordamiento y Comportamiento y hallaron respaldo para un modelo del comportamiento de abordamiento de 4 factores.     

Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and Set-ESEM: Optimal Balance Between Goodness of Fit and Parsimony

Abstract

CFAs of multidimensional constructs often fail to meet standards of good measurement (e.g., goodness-of-fit, measurement invariance, and well-differentiated factors). Exploratory structural equation modeling (ESEM) represents a compromise between exploratory factor analysis’ (EFA) flexibility, and CFA/SEM’s rigor and parsimony, but lacks parsimony (particularly in large models) and might confound constructs that need to be kept separate. In Set-ESEM, two or more a priori sets of constructs are modeled within a single model such that cross-loadings are permissible within the same set of factors (as in Full-ESEM) but are constrained to be zero for factors in different sets (as in CFA). The different sets can reflect the same set of constructs on multiple occasions, and/or different constructs measured within the same wave. Hence, Set-ESEM that represents a middle-ground between the flexibility of traditional-ESEM (hereafter referred to as Full-ESEM) and the rigor and parsimony of CFA/SEM. Thus, the purposes of this article are to provide an overview tutorial on Set-ESEM, juxtapose it with Full-ESEM, and to illustrate its application with simulated data and diverse “real” data applications with accessible, heuristic explanations of best practice.     

3～6岁幼儿好奇心结构探索与验证性因子分析

以幼儿园3～6岁幼儿为对象,通过80名幼儿教师对480名幼儿好奇心行为特征描述的开放式问卷调查,编制出60个项目的初始问卷,对500名幼儿的初测结果进行探索性因子分析后,形成了33个项目的正式问卷,对1000名幼儿的评价结果进行验证性因子分析,结果表明:教师评价的3～6岁幼儿好奇心结构包括敏感、对未知事物的关注、好问、喜欢摆弄、探索持久和好奇体验6个因子。     

Confirmatory Factor Analysis of Warr,Cook, and Wall's (1979) Job Satisfaction Scale

Warr, Cook, and Wall's Job Satisfaction Scale (JSS) is a widely used measure of job satisfaction in industrial/organisational (I/O) psychology research and practice. However, the factor structure has not been adequately explored, with two‐factor and three‐factor solutions previously proposed. This study tested the factor structure of the JSS using robust analysis methods on data gathered from a convenience sample of 381 (females = 264, males = 116) Australian employees. Confirmatory factor analyses supported a hierarchical three‐factor model of job satisfaction in terms of model adequacy coefficients; however, the three factors were highly correlated, thereby rendering a multifactorial approach to the JSS untenable. The results support the continued use of an overall score of job satisfaction when using this measure in I/O psychology research and practice. Further testing of the structure is recommended within a range of employment sectors, as the assumed multifactorial structure of the JSS common in the literature was not supported by the current study.     

Characteristics of Role Models for Young African-American Men: An Exploratory Survey

Recognized leaders of African-American communities were surveyed with 24 items developed by the investigators to aid in the identification of pertinent characteristics common to successful and positive role models for young African-American men.     

The Short-Form of the Coparenting Across Family Structures Scale (CoPAFS-27): A Confirmatory Factor Analysis

Journal of Child and Family Studies - To further refine the measurement of coparenting across family dynamics, this article presents data from 2 separately collected samples, the first consisting...     

探索性结构方程建模(ESEM):EFA和CFA的整合

探索性结构方程建模(ESEM)是在测量模型部分使用了类似于EFA模型的SEM.作为一种高级统计方法,ESEM整合了EFA和CFA两种因子分析方法的功能和优点.通过ESEM,研究者既可以灵活地探索因子结构,又可以系统地验证因子模型,为潜变量的关系分析提供更适宜的测量模型.ESEM已经在某些社科领域的研究中得到应用,是一种值得推介的因子分析方法.ESEM的具体应用问题,例如因子旋转方法的选用、测验信度评价等,仍有待探讨.     

Dimensionality of the Beck Anxiety Inventory in a Polytrauma Sample of OEF/OIF/OND Veterans: Findings From Exploratory and Confirmatory Factor Analysis

The Beck Anxiety Inventory (BAI) is commonly used as a screening instrument for symptoms of anxiety in clinical settings. The factor structure has been researched in a variety of different clinical settings with results ranging from a 2- to 5-factor structure. The purpose of this study was to explore the factor structure of this instrument in a polytrauma veteran sample. A sample of 304 veterans was used for this study. All subjects were administered the BAI screening measure as part of an evaluation in an outpatient polytrauma clinic. Exploratory factor analysis was conducted for half of the sample, followed by confirmatory factor analysis for the remaining sample to determine the best model. Factor analyses revealed that a 5-factor model provided a best fit. It is interesting to note that previously identified models of the BAI with other types of samples did not provide the best fit for this polytrauma sample. The BAI may provide additional information for clinicians when examining the 5-factor model with veterans in polytrauma settings. The factor structure of the BAI includes 1 factor (i.e., personal safety) that may be unique for veterans who have served in combat zones.     

初中生班级集体效能结构的多水平因素分析

通过系统梳理和总结各领域里集体效能的测量构念,并结合初中生班级群体的特点,首先从理论上提出初中生班级集体效能的结构。然后,采用问卷法调查168个班级5180名初中生,运用多水平因素分析验证班级集体效能的结构,以及考察该结构的信效度。结果发现,初中生班级集体效能在个体和班级水平上都是两因子的结构,即班级能力评价和班级目标达成。该构念具有良好的信效度,可以作为初中生班级集体效能的测量指标。     

Confirmatory Factor Analysis of the Family Therapy Alliance Scale: An Evaluation of Factor Structure Across Parents and Adolescents Referred for At Risk Services

This study examines the factor structure of the Family Therapy Alliance Scale for mothers, fathers, and adolescents. Participants are 425 individuals from 216 families referred for family therapy for child abuse or neglect. Findings provide some evidence of construct validity. The three-factor model comprised of the alliance content domains of bonds, goals, and tasks and the interpersonal domains of individual, other, and family provided excellent fit. The nine-factor model exhibited poor fit, while an adjusted six-factor model which eliminated the “other” sub-category showed promise for further research. Findings support the reliability of the content and interpersonal domain’s subscales.     

Academic Integrity of Millennials: The Impact of Religion and Spirituality

The majority of traditional students enrolled at most colleges and universities are a part of what has been termed the Millennial Generation, also known as Generation Y, which typically describes the group of individuals born in most of the 1980s and 1990s. This cohort’s life has been shaped by corporate scandals, economic instability, and worldwide tragedies. Concurrently, business ethics has become a popular topic in the news within the last 2 decades due to the increase in the number of high-profile business scandals. Unfortunately, this trend has also been accompanied by an increased number of reported incidents of academic dishonesty at many major universities. Two underresearched factors that may be related to academic dishonesty and cheating behavior are religiosity and spirituality. This article attempts to shed more light on the relationship between religious beliefs and unethical behavior, with a focus on millennial college students. It is posited that religiosity and spirituality influence an individual’s attitudes, views, decisions, and ultimately behaviors. The results of this study indicate that religiosity but not spirituality is a predictor of students’ attitudes toward cheating and cheating behavior.     

Confirmatory Factor Analysis of the Behavior Rating Inventory of Executive Function (BRIEF) in a Clinical Sample

Evidence for the validity of the Behavior Rating Inventory of Executive Function (BRIEF; Gioia, Isquith, Guy, & Kenworthy, 2000) based on internal structure was examined in a sample of children with mixed clinical diagnoses via maximum likelihood confirmatory factor analysis. Four alternative factor models of children's executive function, based on current theories that posit a unidimensional versus fractionated model (Rabbitt, 1997; Shallice & Burgess, 1991), using the revised 9-scale BRIEF configuration that separates two components of the Monitor scale, were examined for model fit. A 3-factor structure best modeled the data when compared directly with 1-, 2-, and 4-factor models. The 3-factor model was defined by a Behavior Regulation factor consisting of the BRIEF Inhibit and Self-Monitor scales, an Emotional Regulation factor consisting of the Emotional Control and Shift scales, and a Metacognition factor composed of the Working Memory, Initiate, Plan/Organize, Organization of Materials, and Task-Monitor scales. The findings support a fractionated, multi-component view of executive function as measured by the BRIEF.     

Das-Naglieri认知评估系统（中文版）在学前儿童样本中的结构验证

本研究以246名5-6岁幼儿园儿童（男101名,女145名）为研究对象,考察基于智力PASS理论开发的Das-Naglieri 认知评估系统（5-7岁版）在中国学前儿童中的适用性,对评估系统中的12个任务进行了内在一致性信度评估,以幼儿早期数学能力测试作为参考评估其校标效度,并采用验证性因素分析对评估系统的结构效度进行评估。结果发现,该版本评估系统具有较好的信度和校标效度,并且很好地拟合了PASS模型。     

A Confirmatory Approach to Examining the Factor Structure of the Strengths and Difficulties Questionnaire (SDQ): A Large Scale Cohort Study

The aim of this study was to examine the factor structure of the Strengths and Difficulties Questionnaire (SDQ) using a Structural Confirmatory Factor Analytic approach. The Danish translation of the SDQ was distributed to 71,840 parents and teachers of 5–7 and 10–12-year-old boys and girls from four large scale cohorts. Three theoretical models were examined: 1. a model with five first order factors (i.e., hyperactivity/inattention, conduct, emotional, peer problems and prosocial), 2. a model adding two internalising and externalising second order factors to model 1, and 3. a model adding a total difficulties second order factor to model 1. Model fits were evaluated, multi-group analyses were carried out and average variance extracted (AVE) and composite reliability (CR) estimates were examined. In this general population sample, low risk sample models 1 and 2 showed similar good overall fits. Best model fits were found when two positively worded items were allowed to cross load with the prosocial scale, and cross loadings were allowed for among three sets of indicators. The analyses also revealed that model fits were slightly better for teachers than for parents and better for older children than for younger children. No convincing differences were found between boys and girls. Factor loadings were acceptable for all groups, especially for older children rated by teachers. Some emotional, peer, conduct and prosocial subscale problems were revealed for younger children rated by parents. The analyses revealed more internal consistency for older children rated by teachers than for younger children rated by parents. It is recommended that model 1 comprising five first order factors, or alternatively model 2 with additionally two internalising/externalising second order factors, should be used when employing the SDQ in low risk epidemiological samples.