Confirmatory factor analysis of the AEQ-A questionnaire in Finland

The Adolescent version of the Alcohol Expectancy Questionnaire (Brown et al., 1980) was administered to a male population sample in Finland (N=195; median age 18.5 years). Three issues were investigated: Did the items of each subscale measure single latent constructs? Was the AEQ-A better described by a single-factor model (e.g., global positive expectancy) or by a null model implying scale independence? Were alcohol expectancies related to drinking habits? Confirmatory factor analyses by PRELIS2 and LISREL8 indicated that single-construct models were appropriate only for the Enhanced sexuality and Increased arousal scales while several items were unrelated to the postulated latent constructs in the other five scales. Adequate fits were obtained for these scales only when unrelated items were removedand/or anlayses were based on nondichotomus scores derived from contentwise homogenous groups of items. Even when revised so that the each scale formally fitted a single latent construct, the resulting latent constructs were not well described by either the single-factor model or the null model. Expected social benefit in terms of the revised Enhanced or impeded social behavior scale was the most significant predictor of drinking frequency while quantity consumed per drinking occasion was significantly related to the Improved cognitive and motor abilities scale only.     

Confirmatory factor analysis of the group environment questionnaire with co-acting sports

To assess whether the Group Environment Questionnaire is applicable to athletes in co-acting sports such as track and field, the factor structure of the Group Environment Questionnaire among a heterogeneous sample of 199 co-acting team sport athletes was investigated. A confirmatory factor analysis did not support the hypothesized four-factor model. A subsequent exploratory factor analysis yielded two independent factors that had no interpretable pattern of the four Group Environment Questionnaire factors within them. While this finding requires replication and confirmation, the four-factor model of the Group Environment Questionnaire does not appear to be as valid for co-acting sports as for interacting sports.     

A factor analysis of the Eysenck personality questionnaire and the Strelau temperament inventory

The relationship of the Eysenck Personality Questionnaire and the Strelau Temperament Inventory was examined. Correlation analyses of test scores and items provided little evidence of an identity between the scales of these tests.     

Confirmatory factor analyses of DSM-IV Cluster C personality disorder criteria

Notwithstanding its research and clinical relevance, the dimensionality and validity of the DSM-IV avoidant, dependent, and obsessive-compulsive personality disorders (PDs) criteria is still a largely unexplored topic. The aim of this study was to test the factor structure for DSM-IV Cluster C PD criteria in a sample of 641 consecutively admitted outpatients. Factor analysis results suggested that avoidant, dependent, and obsessive-compulsive PDs share a common latent dimension, and supported the three-factor structure of both observer and self-report ratings of DSM-IV Cluster C PD criteria. The pattern of factor loadings, however, was different from the one expected according to the DSM-IV classification.     

Confirmatory factor analysis of the Cybernetic coping scale

The Ways of Coping Questionnaire (WCQ; Folkman & Lazarus, 1985 ) remains one of the widely used measures of self‐report coping behaviours, despite an acknowledgement of its relatively poor psychometric properties. In contrast, the Cybernetic coping scale (CCS; Edwards & Baglioni, 1993 ) appears to have improved psychometric characteristics, but is scarcely employed within published research. To examine the factor structure and criterion validity of the CCS, a longitudinal study was conducted using a diverse sample of New Zealand employees from a range of organizations. Using confirmatory factor analysis, the CCS was found to have construct validity over time. However, a 14‐item CCS model produced the best goodness‐of‐fit and improved item properties. The implications of this improved CCS are discussed in terms of longitudinal research designs, and the necessity for the inclusion of robust self‐report coping measures.     

Confirmatory factor analysis of the Life Regard Index-Revised

The relative fit of one-factor, two-factor, and six-factor models of the English version of the Life Regard Index-Revised was investigated using confirmatory factor analysis on a sample of 464 university students. The results indicated that the six-factor model fit modestly better than both the one-factor and two-factor models, although the difference in fit between the three models was relatively small. Implications of the results are discussed and recommendations for the use of the Life Regard Index-Revised as a measure of personal meaning are provided.     

Confirmatory factor analysis of the eating disorder inventory

The Japanese version of the Eating Disorder Inventory was completed by 204 female university students. Confirmatory factor analyses supported the 9 factors reported by Shimura, et al. (2003). Further, maximum likelihood factor analysis yielded nine factors, accounting for 48.8% of the total variance. There was also adequate fit for each of the 9 subscales. This study provided additional evidence on validity for this Japanese version.     

Confirmatory factor analysis of the WAIS-IV/WMS-IV

The Wechsler Adult Intelligence Scale-fourth edition (WAIS-IV) and the Wechsler Memory Scale-fourth edition (WMS-IV) were co-developed to be used individually or as a combined battery of tests. The independent factor structure of each of the tests has been identified; however, the combined factor structure has yet to be determined. Confirmatory factor analysis was applied to the WAIS-IV/WMS-IV Adult battery (i.e., age 16-69 years) co-norming sample (n = 900) to test 13 measurement models. The results indicated that two models fit the data equally well. One model is a seven-factor solution without a hierarchical general ability factor: Verbal Comprehension, Perceptual Reasoning, Processing Speed, Auditory Working Memory, Visual Working Memory, Auditory Memory, and Visual Memory. The second model is a five-factor model composed of Verbal Comprehension, Perceptual Reasoning, Processing Speed, Working Memory, and Memory with a hierarchical general ability factor. Interpretative implications for each model are discussed.     

Confirmatory factor analysis on separability of planning and insight constructs

This study aimed to investigate the separability of planning, a form of noninsight problem solving, from insight problem solving by means of using confirmatory factor analysis (CFA). The relationships of these two types of problem-solving tasks with meta-cognitive awareness were also assessed. Participants performed a set of planning tasks, a set of insight tasks and a self-report inventory on metacognitive ability. The CFA results revealed that planning and insight problem solving were closely related constructs and were not clearly separable. Model comparisons indicated that the fit of the alternative one-factor model was slightly better than the fit of the two-factor model. The correlational results showed that both planning task performance and insight problem-solving performance had no correlations with the metacognitive knowledge or the metacognitive regulation components of the metacognitive awareness inventory.     

Confirmatory factor analysis of The Aggression Questionnaire

A confirmatory factor analysis of the factor structure of The Aggression Questionnaire created by Buss and Perry (1992) [Journal of Personality and Social Psychology, 63, 452–459] was conducted to assess whether the scale's purported 4 factors emerged. The results generally supported the 4-factor model. However, the hostility factor may be improved if 2 items pertaining to suspicion are removed from the scale. These items had relatively low loadings on that factor and decreased the hostility scale's internal reliability.     

Confirmatory factor analysis of the Penn State Worry Questionnaire

Worry is often assessed with the 16-item Penn State Worry Questionnaire (PSWQ; Meyer, Miller, Metzger, & Borkovec, 1990. Behaviour Research and Therapy, 28, 487-495), but the factor structure of the PSWQ is not well articulated. Three factor analyses of the PSWQ have been conducted, with two (Brown, Antony, & Barlow, 1992. Behaviour Research and Therapy, 30, 33-37; van Rijsoort, Emmelkamp, & Vervaeke, 1999) retaining a unifactorial solution and one (St?ber, 1995) retaining a two-factor solution. We sought to determine the relative strengths of these solutions. Seven hundred eighty-eight undergraduates completed the PSWQ and measures of depression and anxiety. Confirmatory factor analyses indicated that the two-factor solution provided a better fit to the data. There was also evidence for a higher order worry factor. Multiple regression analyses revealed that factor 1 (Worry Engagement) explained the majority of the variance in the symptom measures. The higher order worry factor also accounted for variance in some measures. Compared to the PSWQ total score, Worry Engagement demonstrated slightly higher internal consistency and significantly stronger correlations with most measures of depression and anxiety. Factor 2 (Absence of Worry) demonstrated moderate negative correlations with Worry Engagement and the PSWQ Total Score but only modest correlations with depression and anxiety.     

Confirmatory factor analysis of the interpersonal support evaluation list

Summary and Conclusions Cohen and Syme (1985) suggested that the most methodologically sound way of assessing the stress-buffering properties of different functional support dimensions is through the introduction of experimental manipulations designed to elicit needs for specific support resources, and we agree. Of course, such tests are feasible only to the extent that it is possible to separate the support dimensions empirically. The results reported here indicate that despite considerable covariation among the latent variables corresponding to the four ISEL subscales, covariation that most likely represents the influence of a general second-order support factor, there is also evidence that the four subscales provide sufficient unique information to warrant their retention in the ISEL.From a practical standpoint, this means that researchers using the college version of the ISEL should follow Cohen and Hoberman's (1983) precedent of analyzing both individual subscale scoresand the total support score. In the meantime, improvements in the distributional properties of the individual ISEL items, perhaps through the four-point item response format adopted recently by Cohen and his colleagues, should lead to more refined measurement of the functional support dimensions represented in the ISEL subscales and, subsequently, to more sensitive analyses of the stress-buffering mechanisms associated with different support resources.This research was supported by a faculty research grant from Wittenberg University to the first author.     

Confirmatory factor analysis of the Sport Organizational Effectiveness Scale

The purpose of this study was to examine the factorial validity of the 5-factor model of sport organizational effectiveness developed by Papadimitriou and Taylor. This questionnaire has 33 items which assess five composite effectiveness dimensions pertinent to the operation of sport organizations: calibre of the board and external liaisons, interest in athletes, internal procedures, long term planning, and sport science support. The multiple constituency approach was used as a theoretical framework for developing this scale. Data were obtained from respondents affiliated with 20 Greek national sport organizations with a questionnaire. Analysis indicated that the 5-factor model of effectiveness is workable in assessing the organizational performance of nonprofit sport organizations. The application of the multiple constituency approach in studying sport organizational effectiveness was also suggested.     

Confirmatory factor analysis of the Approaches to Teaching Inventory

Background. The Approaches to Teaching Inventory (ATI) was developed to explore the relationship between students' approaches to learning, and teachers' approaches to teaching, in the physical sciences in higher education. It is increasingly being used in other contexts. Aim. To analyse the factor structure of the ATI. Method. Confirmatory factor analysis. Sample. Inventory responses from over 1,000 university teachers, from 4 different countries and a wide range of disciplines, experience, and teaching level (year of students' study) were used as the sample. Results. Cronbach's alpha values of the 2‐scale inventory were acceptable for scale reliability, but not for the 4‐scale structure. A good fit to the intended 2‐factor structure was obtained by confirmatory factor analysis. Both Information transmission/teacher‐focused and conceptual change/student‐focused scales had well identified intention and strategy subscales. Conclusion. The ATI has been developed as a relational indicator of 2 dimensions of approaches to teaching. It is not intended for use in gathering a full, rich self‐report of teaching, or in non‐relational contexts. However, it has now been used in a number of different contexts, including different subject areas and cultures. There is evidence in this paper that in those contexts its factor structure is, in the main, consistent with the original design. This analysis also suggests ways that the ATI could be improved.     

Confirmatory factor analysis of the Early Arithmetic,Reading, and Learning Indicators (EARLI)

Despite growing interest in early intervention, there are few measures available to monitor the progress of early academic skills in preschoolers. The Early Arithmetic, Reading, and Learning Indicators (EARLI; DiPerna, Morgan, & Lei, 2007) were developed as brief assessments of critical early literacy and numeracy skills. The purpose of the current study was to examine the factor structure of the EARLI probes via confirmatory factor analysis (CFA) in a sample of Head Start preschoolers (N = 289). A two-factor model with correlated error terms and a bifactor model provided comparable fit to the data, although there were some structural problems with the latter model. The utility of the bifactor model for explaining the structure of early academic skills as well as the utility of the EARLI probes as measures of literacy and numeracy skills in preschool are discussed.     

Confirmatory factor analysis of the NEPSY for younger and older school-age children

Using the standardization sample from the NEPSY, confirmatory factor analysis was conducted to examine the factor structure for ages 5 through 12 of the NEPSY sample, as well as for the younger (5 to 8 years, n=400) and older (9 to 12 years, n=400) age bands, to explore possible differences in test structure at different developmental epochs. Using four standard fit indices, results indicated that a 5-factor model was less than adequate for the entire sample and produced negative error variance for the younger and older age groups, making any solutions for the two subgroups inadmissible. A 4-factor model without the Attention/Executive Function subtests produced satisfactory fit statistics for the entire sample and the younger group, but did not fit the data as well for the older group. A 1-factor model did not fit well for the full sample. These results indicated that the structure for the NEPSY is not invariant across development, with the 4-factor model best fitting the data for the younger age group and for the entire school-age sample.     

Confirmatory factor analysis of ITPA models with language-impaired children

The major objective of the current investigation was to provide an evaluation of the validity of the ITPA for language-impaired children using confirmatory factor analysis. In addition to an examination of the validity of the traditional ITPA models, a new model is tested. The new model is based on considerations of the structural complexity of the ITPA subtests. and allows one to interpret ITPA results in processing terms. The results suggest that four-factor models provided the best representation of the ITPA scores in language-impaired children. Compared with the traditional ITPA models, the new model showed either an improved or equal goodness of fit. Language-impaired children tested with the ITPA (n = 100) exhibited a profile pattern suggesting that subtests with low processing demands are "easier" than tests with high processing demands. Thus, the present study supports the contention that language-impaired children suffer from constraints on information processing.