Psychological distress: A hierarchical factor model of the Multiple Affect Adjective Check List (MAACL)

Recent investigations of the structure of psychological distress have indicated that hierarchical models can accommodate both unitary and multifaceted conceptions of distress. The present study tested the hierarchical framework suggested by Zuckerman, Lubin, and Rinck (1983) for the Multiple Affect Adjective Check List (MAACL), a commonly used measure of psychological distress. One- and two-factor models were estimated using maximum-likelihood methods. Results indicated that the two-factor solution, with correlated positive and negative affect factors, provided a significantly better fit to the data than did the omnibus one-factor solution. These results provide further support for hierarchical models of distress.     

The factor structure of the Multiple Affect Adjective Check List-Revised (MAACL-R): Some statistical considerations

In response to Zuckerman's comments on my factor analyses of the MAACL-R, I focus on the statistical issues of the cutoff criterion for factor loadings and the evidence for the discriminant validity of the five-factor solution. Based upon the conclusions I draw in these two areas, I recommend that researchers either (a) use the two factor solution to the MAACL-R represented in the summary scores of Dysphoria and Positive Affect + Sensation Seeking or (b) include all MAACL-R scales in their studies and analyze their data to determine whether it is statistically appropriate to report results from a single scale (A, D, H, PA, or SS) rather than from the summary scores.     

Discriminant validity of the Multiple Affect Adjective Check List - revised

Four groups of patients (depressives, schizophrenics, substance dependents and abusers), a miscellaneous group of other patients, and a group of matched normals from a general population sample were compared on the scales of the Multiple Affect Adjective Check List - Revised (MAACL-R). All scales showed highly significant differentiation among the groups. An index consisting of Depression minus Positive Affect scales was particularly effective in discriminating between depressive and other groups. A discriminant function analysis showed that the depressive could be distinguished from other patient groups and normals with an accuracy of 72% correct. The normals could be distinguished from all of the patient groups with a 60% accuracy, and 87% if the substance abuser group is ignored. The discriminant validity among the nondepressive patient groups was not nearly as good.     

Dimensionality of the Multiple Affect Adjective Check List-Revised: A comparison of factor analytic procedures

The purpose of the study was to determine the factor structure of the revised Multiple Affect Adjective Check List (MAACL-R). The data from 307 undergraduate students who completed the MAACL-R were factor analyzed using both principal-components and principal-axis techniques. Based upon research with the original MAACL, two- and five-factor solutions to the MAACL-R factor structure were examined. The principal-components and principal-axis techniques yielded similar item loadings for each solution and the results of both techniques indicated the superiority of the two-factor solution. The two identified factors could be best characterized as representing independent dimensions of negative and positive affect. These findings are interpreted as providing support for the use of the MAACL-R summary scores of Dysphoria and PASS (Positive Affect and Sensation Seeking) rather than for the use of the five MAACL-R subscales.     

Reliability and validity of the Multiple Affect Adjective Check List - Revised

A recent factor analysis of the Multiple Affect Adjective Check List (MAACL) changed the Anxiety, Depression, and Hostility scales from bipolar to unipolar scales and added two new scales: Positive Affect and Sensation Seeking. Internal reliability of the MAACL-R scales, computed for normal and patient samples, was adequate for state and trait forms except for Sensation Seeking. Test-retest reliability in college students was higher for the trait form with retest intervals of from 2 to 8 weeks than for the state form with retest intervals of from 2 to 5 days. The pattern of correlations among self-, peer, and counselor ratings and the MAACL-R scales for normal and patient samples indicates improved discriminant validity and equally good convergent validity as the old scales. The use of standard scores that are indexed to the number of items checked reduced scale intercorrelations by controlling the acquiescence set.The financial support of the Weldon Springs Endowment Fund, University of Missouri at Kansas City, toward the completion of this research project is gratefully acknowledged.     

Broad or narrow affect scores for the Multiple Affect Adjective Check List? Comment on Hunsley's “dimensionality of the Multiple Affect Adjective Check List-Revised”

Hunsley's paper constitutes the second independent replication of four of the five factors in the Multiple Affect Adjective Check List-Revised (MAACL-R), even though he used the trait instead of the state form used to construct the scales and a more stringent factor loading criterion than Zuckerman and Lubin. Hunsley also did a two-factor analysis (positive and negative affects) of the MAACL items and concluded on the basis of the scree test that this was a more optimal solution than the five-factor one. This conclusion is questioned on the basis that the scales were devised to improve discriminant validity of the subscales, which they have done, particularly if standard scores are used. Since four of the five factors are replicable in state and trait versions of the MAACL-R and clinical studies show discriminant validity for the subscales, there is no reason to ignore the components of the two broader affect factors. Such factors can be assessed through use of the two standard summary scores for the MAACL: Dysphoria (A + D + H) and Positive Affect plus Sensation Seeking (PA + SS).     

Assessment of self-conscious emotions: a Swedish psychometric and structure evaluation of the Test of Self-Conscious Affect (TOSCA)

The Test of Self-Conscious Affect (TOSCA) is a well-established scenario-based questionnaire assessing self-conscious emotions, such as shame and guilt, which have been shown to be differentially associated with a variety of functional, motivational, behavioral and health outcomes. The aim of this study was to evaluate the psychometric properties and internal structure of a Swedish version of TOSCA in a sample of 361 healthy adults. The psychometric properties and internal consistency of the Swedish version were at level with the original US TOSCA version for shame, guilt and detachment. The internal structure of the Swedish version was acceptable for shame, guilt and detachment but contained shortcomings in assessment of externalization.     

Confirmatory Factor Analysis of the Posttraumatic Stress Disorder Checklist

Several studies have employed confirmatory factor analysis (CFA) to examine the latent structure of the Posttraumatic Stress Disorder (PTSD) Checklist (PCL; Weathers, Litz, Herman, Huska, & Keane, 1993), a measure that assesses PTSD symptomatology. Findings have failed to support the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text revision [DSM–IV–TR]; American Psychiatric Association, 2000) PTSD model, consisting of reexperiencing, avoidance/numbing, and arousal factors, and no consensus has emerged regarding the best fitting alternative model. Additionally, most studies have utilized homogeneous trauma samples. This study used CFA to examine the PCL factor structure in a sample with exposure to various traumatic events. Superior fit was demonstrated by a model specifying reexperiencing, avoidance, dysphoria, and arousal factors.     

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.     

The Child Behavior Checklist for Group Care Workers: A Study Regarding the Factor Structure

In this study we examined the factor structure of the Child Behavior Checklist (CBCL) filled out by group care workers. Group care workers' judgements were collected on 846 children and adolescents treated in various residential settings in The Netherlands. Using confirmatory factor analysis, we were able to show that the original CBCL factor model based on parental judgments of child behavior also fits for the judgments of group care workers. This means that the well known 8 narrow-band syndromes (Withdrawn, Somatic Complaints, etc.) as well as the 2 broad-band syndromes (Internalizing and Externalizing) can be used to interpret the CBCL scores of group care workers. This confirmation of the CBCL factor structure is a first step to add a group care worker version to the CBCL family. However, as a second step, normative data need to be gathered to further enhance the use of the CBCL for group care workers.     

The dimensionality of the 12-item version of the Eating Attitudes Test. Confirmatory factor analyses

The assumed three-dimensional structure of the 12-item version of the Eating Attitudes Test was examined by confirmatory factor analysis in a non-clinical sample of 224 female and 261 male adolescents in grade 8 aged 14-15 years. Alternative models were examined. Data did neither support a three-dimensional structure, nor a one-dimensional structure using twelve items. Three dimensions were supported when one and three items were omitted from the girls' and boys' analyses, respectively. A second order factor structure was supported in both genders. Conceptual and psychometric issues are discussed. A discussion of the measurement domain of the eating problem construct in non-clinicals is warranted.     

Evaluating fit of the Prospective and Retrospective Memory Questionnaire (PRMQ) in a Nigerian adult population

This study aimed to evaluate the latent structure of the Prospective and Retrospective Memory Questionnaire (PRMQ) and to estimate the reliability and validity of scores from the measure in a Nigerian adult population (N = 758; age range = 18 - 63 years; females = 52.24%). Respondents also completed the Cognitive Failures Questionnaire (CFQ). The data were analysed utilising confirmatory factor analysis (CFA). The results suggest the PRMQ to have a tripartite structure characterised by the following features: general memory, plus eight prospective and eight retrospective memory items. Scores from the PRMQ had evidence of convergent validity with the CFQ. The reliability of scores from the PRMQ was of acceptable magnitude for the research purposes investigated in the study.     

The nonconvergence of factals: A nonmetric common factor analysis

FACTALS is a nonmetric common factor analysis model for multivariate data whose variables may be nominal, ordinal or interval. In FACTALS an Alternating Least Squares algorithm is utilized which is claimed to be monotonically convergent.In this paper it is shown that this algorithm is based upon an erroneous assumption, namely that the least squares loss function (which is in this case a nonscale free loss function) can be transformed into a scalefree loss function. A consequence of this is that monotonical convergence of the algorithm can not be guaranteed.     

Factor solutions of the Social Phobia Scale (SPS) and the Social Interaction Anxiety Scale (SIAS) in a Swedish population

Culturally validated rating scales for social anxiety disorder (SAD) are of significant importance when screening for the disorder, as well as for evaluating treatment efficacy. This study examined construct validity and additional psychometric properties of two commonly used scales, the Social Phobia Scale and the Social Interaction Anxiety Scale, in a clinical SAD population (n?=?180) and in a normal population (n?=?614) in Sweden. Confirmatory factor analyses of previously reported factor solutions were tested but did not reveal acceptable fit. Exploratory factor analyses (EFA) of the joint structure of the scales in the total population yielded a two-factor model (performance anxiety and social interaction anxiety), whereas EFA in the clinical sample revealed a three-factor solution, a social interaction anxiety factor and two performance anxiety factors. The SPS and SIAS showed good to excellent internal consistency, and discriminated well between patients with SAD and a normal population sample. Both scales showed good convergent validity with an established measure of SAD, whereas the discriminant validity of symptoms of social anxiety and depression could not be confirmed. The optimal cut-off score for SPS and SIAS were 18 and 22 points, respectively. It is concluded that the factor structure and the additional psychometric properties of SPS and SIAS support the use of the scales for assessment in a Swedish population.     

Evaluation of the psychometric properties of a modified Positive and Negative Affect Schedule including a direction scale (PANAS-D) among French athletes

ObjectivesThe goal of these studies was to provide validity and reliability evidence of a modified Positive and Negative Affect Schedule (PANAS) including a direction scale (PANAS-D). Study 1 tested the validity and reliability of the PANAS-D to measure both intensity and direction of affects. Study 2 examined the relationships between direction of affects and selected variables (i.e., coping, attainment of achievement goals and sport satisfaction) by controlling for intensity of affects.MethodA total of 306 and 296 athletes (studies 1 and 2) completed the PANAS-D and other self-report questionnaires. Data were analysed with reliability, confirmatory factor analyses (study 1) and correlational analyses (studies 1 and 2).DesignCross-sectional with self-reported questionnaires.ResultsIn study 1, the 4-factor structure of the PANAS-D (intensity and direction of positive affect and negative affect) fitted the data adequately. Multiple-group CFAs showed that PANAS-D was partially invariant across the two measurement occasions (before and after competition). The patterns of relationships between PANAS-D, attainment of achievement goals and coping provided evidence for the criterion-related validity of the PANAS-D. In study 2, direction of positive affect and negative affect were associated with selected outcomes (i.e., coping, attainment of sport achievement goals, and/or sport satisfaction) after intensity of these affective states were held constant.ConclusionsThis study provided support for the reliability and validity of the PANAS-D (study 1) and the incremental validity of the direction of affective states (study 2), supporting the distinction between athletes' intensity and direction of affective states.     

Measurement invariance of personality traits from a five-factor model perspective: multi-group confirmatory factor analyses of the HP5 inventory

Associations between personality and health may be influenced by contextual factors varying across studied cohorts. Moreover, measurement bias related to contextual factors could also influence these associations. Gender and age have been discussed as important contextual factors when studying personality and health outcomes. An examination of measurement invariance across gender and age may therefore be warranted. In the present study, measurement invariance across age and gender was examined for a five-factor model of personality traits in which scales have been included to operationalise lower-order traits related to health-behaviour or health outcomes. Using multi-group confirmatory factor analysis on a population based cohort (n= 5700), all important parameters of the measurement model were found to be invariant. On the basis of this invariant model, hypotheses of mean differences across age and gender in personality traits were tested. These results were discussed in relation to meta-analyses on personality change and gender differences in personality.     

中国人人格七因素量表(QZPS-SF)的信度与效度

本研究的目的是依据中国人人格量表（QZPS）编制一份能够迅速测查人格七个维度的短式七因素量表（QZPS—SF）。根据6000余名被试对QZPS的215个项目的评定分数,通过因素分析确定了七个因素、与QZPS的七个因素对应构成了QZPS—SF。通过被试的自我评定以及他人评定和特殊群体被试（精神分裂症病人、吸毒者以及罪犯）的人格特点比较,显示了QZPS—SF有着良好的信度和效度。文中还对QZPS—SF的应用范围以及注意事项进行了讨论。     

Validation of the University of California,Los Angeles Loneliness Scale (version 3) in Spanish older population: An application of exploratory structural equation modelling

Loneliness is a subjective and unpleasant experience associated to a variety of physical and mental health problems. Older people face an elevated risk of loneliness. It is measured through self-reported questionnaires, among which the most widely used one is the University of California, Los Angeles (UCLA) Loneliness Scale. The latest version of this scale is called UCLA-3, and it has not been validated in Spanish elderly population. This article aims to present a validation study of the Spanish version of the UCLA-3 for its use with older people, by establishing its reliability and validity. Data were obtained from the second wave of a longitudinal research conducted with older adults attending Lifelong Learning programs. The sample consisted of 335 people aged 55 years old or older. Sociodemographic data were collected, and loneliness was measured with the UCLA-3 and the de Jong Gierveld Loneliness Scale. Results have partially replicated a three factor structure already found in the literature in other populations. The present work provides relevant and innovative evidence, as this is the first time that the UCLA-3 was analysed using ESEM statistical approach in a Spanish elderly sample.     

A Systematic Review of the Posttraumatic Stress Disorder Checklist (PCL)

In this systematic review, the authors analyzed 336 published articles and dissertations that used the Posttraumatic Stress Disorder Checklist (PCL) to determine the reliability and validity of scores on 3 different versions: PCL–Specific, PCL–Military, and PCL–Civilian. Results confirmed Weathers, Litz, Herman, Huska, and Keane's ( 1993 ) claim that the PCL has adequate psychometric properties and appears to support the construction of a new version, the PCL‐5, as a population‐nonspecific instrument.     

探索性因素分析在测验编制中局限性的模拟实验

本文主要用模拟研究的方法,通过生成拟合优度验证性因素分析的数据,来考察探索性因素分析在测验编制中的局限性。结果表明探索性因素分析作为纯数据基础上的一种统计方法,在因素问相关程度较大时．得到与理论假设不一致的结论。本文还就测验中会聚效度的一些限制作了初步探讨,结合具体情况介绍了中等相关限定条件的实质。