Assessing clergy work-related psychological health: reliability and validity of the Francis Burnout Inventory

ABSTRACT

Drawing on the classic model of balanced affect, the Francis Burnout Inventory (FBI) conceptualised good work-related psychological health among clergy in terms of negative affect being balanced by positive affect. In the FBI negative affect is assessed by the Scale of Emotional Exhaustion in Ministry (SEEM) and positive affect is assessed by the Satisfaction in Ministry Scale (SIMS). In support of the idea of balanced affect, previous work had shown a significant interaction between the effects of SEEM and SIMS scores, showing that the mitigating effects of positive affect on burnout increased with increasing levels of negative affect. In this paper a convenience sample of 155 priests serving with the Roman Catholic Church in Italy have been assessed on the Purpose in Life Scale (PILS) as an independent measure of well-being and concurrently on the two scales, SEEM and SIMS. Crucially for confirming the idea of balanced affect, there was a significant interaction between the effects of SEEM and SIMS scores on scores recorded on the PILS, confirming that the mitigating effects of satisfaction in ministry on purpose increased with increasing levels of emotional exhaustion.     

The psychometric properties of the short version of the Cybernetic Coping Scale: A multigroup confirmatory factor analysis across four samples

Throughout the literature, there appears to be little support for the psychometric characteristics of scales measuring coping behaviour. This article explores the psychometric properties of the 20‐item version of the Cybernetic Coping Scale (CCS; Edwards & Baglioni, 1993). Initially, confirmatory factor analysis and internal reliability analysis were conducted on large samples of data from four different studies in order to conduct an exhaustive examination of the scale. Results provided moderate support for the 20‐item version of the CCS. However, improved model modification produced moderate to strong support for a 15‐item version. Multigroup confirmatory factor analysis was then conducted on the 15‐item version of the CCS in order to cross‐validate the measurement model across groups. Findings revealed a wellfitting model with a stable factor structure and partial measurement invariance. Both versions produced acceptable to high internal reliability. Findings indicate support for the use of the 15‐item version of the CCS and suggest that this short version of the CCS is the best fitting model of all the other previously developed CCS scales.     

The state version of the recovery experience questionnaire: A multilevel confirmatory factor analysis

Although many studies in the field of recovery from work utilize a quantitative diary design, little is known about the validity of the daily measures used in such studies. The present study analyses the factor structure of the state version of the Recovery Experience Questionnaire (REQ) on the between-person (trait) and within-person (state) levels. A total of 127 employees participated in the study. Most of them filled out the questionnaire on three consecutive workdays (N = 375 observations). Results of multilevel confirmatory factor analyses (MCFA) showed that a four-factor model fit the data better than alternative models at both levels of analysis (between and within). In addition, some factor loadings of the four recovery experience dimensions (particularly for relaxation and control) were lower on the day level as compared to the general level. Nevertheless, we conclude that both state and trait versions of the REQ show good psychometric properties. Implications for future research on recovery are discussed.     

The religiosity-psychoticism relationship and the two factors of social desirability: A response to Michael W. Eysenck (1999)

This paper is based upon an interpretative phenomenological analysis (IPA) which investigated the experiences of twelve people who had been sexually abused by Roman Catholic priests or religious. The premise of the research was based upon a perceived assumption that distinct forms of sexual traumatology generate unique trauma characteristics not accounted for within the existing Post-Traumatic Stress Disorder (PTSD) conceptual frameworks (International Statistical Classification of Diseases and Related Health Problems ((DSM-IVTR 2000;) ICD-10 R, 2007). Recent developments in psychodiagnostics to support the relevance of religious concerns where incorporated into the Diagnostic and Statistical Manual of Mental Disorders DSM-IV edition (1994) which allowed a range of “religious” and “spiritual” problems to be explicitly identified as a focus for specific clinical attention. However, these appear quite vague in accounting for the range of trauma experiences experienced by this participant group. Evidence arose which indicated the majority of the research participants considered “God” to have been integral within the abuse, manipulated by design or default by the cleric or religious perpetrator. These idiosyncratic trauma characteristic created significant anxiety and distress in areas such as theological belief, crisis of faith, and fears surrounding the participant's own mortality. The IPA research identified six distinct, themed differences of which four will be discussed in more detail for the purpose of this paper. It will consider the attributes of these themes in relation to Roman Catholicism, celibacy and Canon law, and further question the sufficiency of the DSM-IV “V” Codes in accounting for the myriad of symptoms survivors of sexual abuse perpetrated by Roman Catholic Priests and Religious actually describe.     

A confirmatory factor analysis of the Bem Sex Role Inventory: Old questions,new answers

LISREL analyses of data from a sample of 671 adults (90% Caucasian, 10% Black) evaluated (a) item factor structure of the Bem Sex Role Inventory (BSRI), (b) second-order factor model for the item factors, and (c) structural equation models estimating age and gender differences in these factors. Seven first-order item factors were extracted and found to have equivalent factor loadings for males and females. Item factors were related to two second-order factors: Masculinity and Femininity. There were relatively small age and gender differences in the first- and second-order factors. There was a differential relationship between self-rated masculinity and femininity and the first-order BSRI item factors for males and females. Results suggest that the BSRI best assesses gender-related personality traits and represents only one component of the complex multidimensional construct of gender roles.We thank Herbert W. Marsh and an anonymous reviewer for valuable comments on previous drafts of this article.     

Analyzing multitrait-mulitmethod data with multilevel confirmatory factor analysis: An application to the validation of the State-Trait Cheerfulness Inventory

This article gives a didactic introduction to the analysis of multitrait-multimethod data with models of multilevel confirmatory factor analysis. In particular, the principles of the multilevel CT-C(M-1) model for interchangeable and structural different methods are explained in detail, and the first application of this model to more than two structurally different methods is presented. The model is illustrated by an application to the analysis of the convergent and discriminant validity of the trait subscales of the State-Trait Cheerfulness Inventory (STCI-T, Ruch, Köhler, & van Thriel, 1996). The results show that the STCI is a reliable and valid questionnaire for assessing the temperamental basis of sense of humor.     

Assessing worry in older adults: confirmatory factor analysis of the Penn State Worry Questionnaire and psychometric properties of an abbreviated model

The assessment of worry among older adults typically has involved measures designed with younger cohorts. Because of special concerns in assessing older adults, modifications to existing instruments may be necessary. Addressing equivocal factor analytic data on the Penn State Worry Questionnaire (PSWQ) among younger adults, the authors conducted confirmatory factor analyses to evaluate the generalizability of previous models to older adults with generalized anxiety disorder. Data fit poorly with established single- and two-factor models. The single-factor model was modified, resulting in the elimination of 8 items, strong fit indices, high internal consistency, adequate test-retest reliability, and good convergent and divergent validity. Further psychometric work is required to assess whether the revised model is a more parsimonious method to assess late-life anxiety.     

The Italian version of the Inventory of Interpersonal Problems Personality Disorders Scales (IIP-47): psychometric properties and clinical usefulness as a screening measure

The Inventory of Interpersonal Problems-47 (IIP-47) is a brief and valid self-report measure for screening Personality Disorders (PDs). This study examined internal consistency, factor structure, criterion validity, temporal stability, and operating characteristics of the Italian version of the IIP-47 in two independent samples: PD subjects (n = 120) and nonclinical subjects (n = 475). Alpha coefficients ranged from .70 to .90. Multiple-Group Confirmatory Factor Analyses showed that the five-correlated-factor model reported in literature had the highest measurement invariance across the two groups. Criterion validity was supported by correlations among IIP-47 scale scores and scores on established measures of personality dimensions and pathology. Test-retest indices ranged from .71 to .95. PD subjects scored significantly higher than nonclinical subjects on all IIP-47 scales and cut-off scores for different levels of specificity and sensibility are reported. It is concluded that the psychometric properties of the original IIP-47 were preserved in its Italian version.     

Assessing the Climate for Creativity (KEYS): Confirmatory factor analysis and psychometric examination of a Taiwan version

Understanding the feasibility of using KEYS to assess the organizational climate for creativity in non‐Western societies is essential for researchers studying cultural influences on workers' perceptions of workplace climates. This study reports on the effectiveness of translating KEYS, using data from 401 employees of 13 different companies in Taiwan. A confirmatory factor analysis was performed and its results indicated a satisfactory fit for a 10‐factor model. However, six items tackling environmental obstacles had low factor loadings (<0.3) and should either be eliminated or amended. The results raise questions regarding the role of cultural influences in international studies that assess creativity climates. Further research into the conceptualization of organizational creativity in Chinese societies is warranted.     

Sex differences in the structure of intelligence: A confirmatory factor analysis

The LISREL model of Jöreskog and Sörbom was used to perform a comparative factor analysis on intelligence data from four sex by generation groups. The covariance matrices for 10 psychometric ability measures were used to isolate Spatial and Verbal Intelligence factors. Results from a series of factor analysis models indicated substantial invariance in the factor pattern and factor covariance matrices, although the hypothesis of complete invariance in factor pattern was rejected. The groups did differ in observed and unique variances. The results were basically consistent with the hypothesis that males and females have similar intellectual structure, which would have been obscured had standardized factor analysis been employed. There were also sex and generation differences in the Spatial and Verbal factor means.     

A model of factor analysis: Reasons for using a helmet in a sample of non-competitive Italian cyclists

IntroductionThe increased bicycle use for transport as an alternative to motorized vehicles has by now become a common occurrence in all Italian cities. Even though the benefits of using a helmet to protect against trauma in bicycle accidents have been demonstrated, its use is still limited. The objective of this study is to analyse those motivations for helmet wearing that can influence their adoption.MethodsData was gathered through an online questionnaire in collaboration with the Federazione Italiana Amici della Bicicletta (Italian Federation of Friends of the Bicycle), a recreational cyclists association.Motivations to use a helmet were investigated using a factorial analysis model. Factors were analysed through a points allocation system and compared according to gender, area of residence and whether the cyclist was a helmet-enthusiast.ResultsThe sample was made up of 1781 individuals, with a declining participation rate from North to South; 63% of respondents were men.Three factors were identified from the sample: helmet use as a safety benefit; helmets being perceived as a hindrance; and helmet used out of habit as well as to follow the virtuous example of friends and/or acquaintances during cycling outings. The major kinds of evidence are: regarding gender, differences in the perception of a helmet as a hindrance (p < 0.001) and its use out of habit (p < 0.001); as for area of residence, differences in the perception of a helmet as a hindrance (p = 0.01) and its use out of habit (p < 0.01); as regards being a helmet-enthusiast, differences were found for all the factors (p < 0.01).ConclusionsThese results contribute to understanding the scenario that affects motivational beliefs through facilitating or deterring cyclists from using a helmet during recreational cycling. The evidence suggests how to argue the helmet use discussion among Italians. In such a homogeneous population of respondents in terms of passion for cycling, opinions on helmet use were dissimilar from the point of view of both its perception and the subsequent motivation for using it.Exploring perceptions and motivations on helmet use is a key element in understanding cyclists’ behaviour in order to characterize different users. A combination of friends/peer influence, reduction in the perception of helmets as a hindrance, and reinforcing of safety could represent the starting point for planning interventions.     

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.     

The revised learning process questionnaire: A validation of a Western model of students' study approaches to the South Pacific context using confirmatory factor analysis

Background. Research evidence seems to suggest that the social and cultural environments influence students' approaches to their study. This social and cultural contention has led to the rethinking and reconceptualization of theories (e.g. Biggs, 1987 ; Marton & Säljö, 1976 ) pertaining to student approaches to learning (SAL) in academic settings. Aims. The present research discusses two separate empirical studies on student learning approaches situated in the South Pacific region with two respective cohorts of secondary students. Study I involved the examination of secondary Pacific Islands students in their learning approaches using a modified version of Biggs' (1987 ) original Learning Process Questionnaire (LPQ). Study II involved the administration of a revised version of the LPQ (R‐LPQ‐2F; Kember, Biggs, & Leung, 2004 ) to another cohort of secondary Pacific Islands students. Sample. The first sample included 2,150 (1,285 girls, 865 boys) students and the second sample included 2,295 (1,363 girls, 932 boys) students. Methods. The factor structures of approaches to learning were examined by means of confirmatory factor analysis (CFA) using the LISREL program. Different a priori models were hypothesized and tested. Results. Results of Study I indicated a two‐factor structure solution to Biggs' LPQ, supporting Richardson's (1994) theoretical model of learning and emphasized the factors of Reproducing and Meaning. Study II indicated a hierarchical organization of two main study approaches – deep and surface – that are structured as higher‐order factors and a defined by four first‐order factors. Conclusion. The results from the two studies accentuate the important argument for the rethinking and reconceptualization of learning approaches, as well as for the redevelopment and modification of learning inventories such as the LPQ. They also suggest the importance of situating the theoretical paradigm of learning approaches in a social and cultural environment.     

Psychometric Assessment of the Comprehensive Effects of Alcohol Questionnaire: Comparing a Brief Version to the Original Full Scale

The current set of studies compared the psychometric properties of the original Comprehensive Effects of Alcohol Questionnaire (CEOA) to a 15-item version (B-CEOA) in a nonclinical undergraduate sample (N = 581), and attempted to replicate and extend the B-CEOA findings in an undergraduate sample referred to an alcohol intervention (N = 734). Psychometric assessment included construct validity, internal consistency, and concurrent validity, using both positive and negative expectancy items in all analyses. Results provided further support for the empirical validity of the original CEOA, and provided support for the use of the B-CEOA despite the reduction in the number of items. The B-CEOA factor structures obtained using exploratory and confirmatory techniques provided support for a 4-factor structure of expectancies and 3-factor structure of valuations. Findings reveal potential problems with positive and negative expectancy items. Trade-offs regarding factor structure, internal consistency, and administration time should be considered in using the B-CEOA vs. the CEOA.     

A bias-corrected exploratory and confirmatory factor analysis of right-wing authoritarianism: Support for a three-factor structure

The factor structure of right-wing authoritarianism (RWA) remains a contentious issue. Although designed to measure three underlying attitude clusters, aggression, submission and conventionalism, many items are deliberately double- or triple-barrelled, to capture the covariation of the three clusters in a unidimensional scale. Additionally, although the scale is balanced, there is an item wording direction bias in the clusters; aggression items are pro-trait, and conventionalism items are con-trait. Sub-scale structure is therefore potentially confounded with acquiescence bias. Although RWA as a unitary construct has been an effective tool for exploring prejudice, it would be useful in many cases to measure its underlying components directly. Proposed solutions to this problem include creating short-form scales as subsets of the original scale, or modifying items to simplify and un-confound the structure. We present convergent evidence of an underlying factor structure by considering one-, two- and three-factor solutions to the uncorrected scale and then using an indirect method to correct for acquiescence bias. Before and after correction, factor analysis supported a three-factor solution. Confirmatory factor analyses also support a three-factor solution compared to a one-factor solution.     

The Male Body Attitudes Scale: A confirmatory factor analysis with a sample of gay men

The Male Body Attitudes Scale (MBAS; Tylka, Bergeron, & Schwartz, 2005) is a recently created instrument which assesses males’ attitudes regarding their muscularity, body fat, and height. Although the MBAS was created via exploratory and confirmatory factor analyses, its factor structure has yet to be replicated with more diverse samples. The aim of the current study was to conduct a confirmatory factor analysis of the MBAS with a sample of gay men. Results from an online sample of 207 self-identified gay men revealed that the original three-factor structure of the MBAS, as well as a two-factor structure, consisting of muscularity and body fat, displayed strong factorial validity. These findings suggest that either a two- or three-factor structure may be used when assessing body image concerns in gay men.     

Three‐factor structure and psychometric properties of Witte's Risk Behaviour Diagnosis Scale: A French version adapted to diabetes

The aim of this study was to verify the psychometric properties and the factorial structure of Witte's Risk Behaviour Diagnosis (RBD). This article shows the results of a French version of the RBD adapted to diabetes screening. An exploratory factor analysis was carried out in order to understand the number of underlying factors, a confirmatory factor analysis was performed and the four‐factor model proposed by the author and alternative models were compared. The concurrent validity was tested by a correlational analysis with the Perceived Fear Emotions Scale. The results confirmed a stable factor structure for the 12‐item version, with three factors reflecting total efficacy, severity of and susceptibility to threat. The value of having a psychometrically valid instrument to assess the impact of fear appeal‐based campaigns is linked to the current lack of a comprehensive assessment tool and the importance of preventing health risk behaviours.     

A confirmatory factor analytic investigation of the TAS-20: corroboration of a five-factor model and suggestions for improvement

Alexithymia represents an individual difference dimension characterized by difficulties identifying emotions, difficulties describing emotions, and a utilitarian approach to thinking. The Toronto Alexithymia Scale-20 (TAS-20; Bagby, Parker, & Taylor, 1994) is a frequently used inventory to measure alexithymia, and although several studies have examined the factor structure of the TAS-20, a number of issues remain unresolved. Specifically, the severely unbalanced item-keyed nature of the TAS-20 has been suggested to limit the interpretation of the substantive Externally Oriented Thinking (EOT) factor. Further, it has also been suggested that the EOT factor may be better represented by 2 oblique factors. A review of the TAS-20 confirmatory factory analysis (CFA) literature has suggested that some improvement in CFA strategies could possibly be afforded by using a nested factors modeling approach. Based on a sample of 355 participants, we demonstrated that the TAS-20 was better represented by a nested factors model with 5 substantive factors. A novel, latent variable approach to estimating internal consistency reliability revealed that the subscales within the TAS-20 were associated with unacceptably low levels of reliability independently of the global alexithymia factor. Although there was some CFA evidence to suggest the plausibility of a negatively keyed factor, a thorough examination of the items in question offered an alternative interpretation. Further development of the TAS-20']s Externally Oriented Thinking subscale is encouraged.     

The structure of the Beck Hopelessness Scale: A confirmatory factor analysis in UK students

The aim of this paper was to confirm the factor structure of the 20-item Beck Hopelessness Scale in a non-clinical population. Previous research has highlighted a lack of clarity in its construct validity with regards to this population.Based on previous factor analytic findings from both clinical and non-clinical studies, 13 separate confirmatory factor models were specified and estimated using LISREL 8.72 to test the one, two and three-factor models.Psychology and medical students at Queen’s University, Belfast (n = 581) completed both the BHS and the Beck Depression Inventory (BDI).All models showed reasonable fit, but only one, a four-item single-factor model demonstrated a non-significant chi-squared statistic. These four items can be used to derive a Short-Form BHS (SBHS) in which increasing scores (0-4) corresponded with increasing scores in the BDI. The four items were also drawn from all three of Beck’s proposed triad, and included both positively and negatively scored items.This study in a UK undergraduate non-clinical population suggests that the BHS best measures a one-factor model of hopelessness. It appears that a shorter four-item scale can also measure this one-factor model.