运动情境四维成就目标定向量表的初步编制——以第十二届特奥会中国籍智力残疾运动员为被试

该研究在文献分析和访谈的基础上,确定智力残疾运动领域成就目标定向的四维结构并编制初测问卷。对400名特奥会运动员进行了施测,对数据进行项目分析、验证性因素分析和信度分析。验证性因素分析和信度分析显示,问卷具有较好的效度和信度,可以作为运动领域四维目标定向的测量工具。     

Cross-validation of the very short form of the Physical Self-Inventory (PSI-VS): invariance across genders, age groups, ethnicities and weight statuses

In a recent review of various physical self-concept instruments, Marsh and Cheng (in press) noted that the very short 12-item version of the French Physical Self-Inventory (PSI-VS) represents an important contribution to applied research but that further research was needed to investigate the robustness of its psychometric properties in new and diversified samples. The present study was designed to answer these questions based on a sample of 1103 normally achieving French adolescents. The results show that the PSI-VS measurement model is quite robust and fully invariant across subgroups of students formed according to gender, weight, age and ethnicity. The results also confirm the convergent validity and scale score reliability of the PSI-VS subscales.     

The assessment of school engagement: examining dimensionality and measurement invariance by gender and race/ethnicity

The construct of school engagement has attracted growing interest as a way to ameliorate the decline in academic achievement and increase in dropout rates. The current study tested the fit of a second-order multidimensional factor model of school engagement, using large-scale representative data on 1103 students in middle school. In order to make valid model comparisons by group, we evaluated the extent to which the measurement structure of this model was invariant by gender and by race/ethnicity (European-American vs. African-American students). Finally, we examined differences in latent factor means by these same groups. From our confirmatory factor analyses, we concluded that school engagement was a multidimensional construct, with evidence to support the hypothesized second-order engagement factor structure with behavioral, emotional, and cognitive dimensions. In this sample, boys and girls did not substantially differ, nor did European-American and African-American students, in terms of the underlying constructs of engagement and the composition of these constructs. Finally, there were substantial differences in behavioral and emotional engagement by gender and by racial/ethnic groups in terms of second-order factor mean differences.     

A smile biases the recognition of eye expressions: Configural projection from a salient mouth

A smile is visually highly salient and grabs attention automatically. We investigated how extrafoveally seen smiles influence the viewers' perception of non-happy eyes in a face. A smiling mouth appeared in composite faces with incongruent non-happy (fearful, neutral, etc.) eyes, thus producing blended expressions, or it appeared in intact faces with genuine expressions. Attention to the eye region was spatially cued while foveal vision of the mouth was blocked by gaze-contingent masking. Participants judged whether the eyes were happy or not. Results indicated that the smile biased the evaluation of the eye expression: The same non-happy eyes were more likely to be judged as happy and categorized more slowly as not happy in a face with a smiling mouth than in a face with a non-smiling mouth or with no mouth. This bias occurred when the mouth and the eyes appeared simultaneously and aligned, but also to some extent when they were misaligned and when the mouth appeared after the eyes. We conclude that the highly salient smile projects to other facial regions, thus influencing the perception of the eye expression. Projection serves spatial and temporal integration of face parts and changes.     

On the relationship between sources of within- and between-group differences and measurement invariance in the common factor model

Investigating sources of within- and between-group differences and measurement invariance (MI) across groups is fundamental to any meaningful group comparison based on observed test scores. It is shown that by placing certain restrictions on the multigroup confirmatory factor model, it is possible to investigate the hypothesis that within- and between-group differences are due to the same factors. Moreover, the modeling approach clarifies that absence of measurement bias implies common sources of within- and between-group variation. It is shown how the influence of background variables can be incorporated in the model. The advantages of the modeling approach as compared with other commonly used methods for group comparisons is discussed and illustrated by means of an analysis of empirical data.     

Factorial validity of the Utrecht Work Engagement Scale (UWES) across occupational groups in Norway

Nerstad, C.G.L., Richardsen, A.M. & Martinussen, M. (2009). Factorial validity of the Utrecht Work Engagement Scale (UWES) across occupational groups in Norway. Scandinavian Journal of Psychology. The present study investigated the factorial validity of the Utrecht Work Engagement Scale (UWES) among 1266 participants from ten different occupational groups. Confirmatory factor analyses of the total sample, as well as multi‐group analyses and analyses of each of the ten occupational groups separately, indicated that a three‐dimensional model of both the UWES‐17 and the short version, UWES‐9, provided a better fit to the data than a one‐ and two‐dimensional model. The results of multi‐group analyses and analyses of each of the groups separately, indicated that with a few exceptions, the three‐factor model of work engagement provided the best fit. Results indicated factorial invariance and the internal consistencies were acceptable. The fit of the UWES‐9 was slightly better than the UWES‐17. It is concluded that the Norwegian short version may be recommended over the UWES‐17.     

Measuring shyness: analysis of the Revised Cheek and Buss Shyness scale

A sample of 741 university students completed the Revised Cheek and Buss Shyness scale. Item analysis showed that the scale has sound psychometric properties. There was no gender difference in total shyness scores although there were differences on two of the 14 items. A series of confirmatory factor analyses tested the fit of several models of the factor structure of the scale and showed that a two-factor model taking into account differences in the direction of item wording provided a satisfactory and parsimonious fit to the data. The implications of the factor structure for understanding the nature of trait shyness are discussed.     

Psychometric properties of the Coach-Athlete Relationship Questionnaire (CART-Q) in seven countries

Objectives

In the sport context, the coach-athlete relationship has been viewed and studied as a universal phenomenon. It is thus important to assess the universality of the psychometric scale that is used to measure the quality of coach-athlete relationships. The present study examined the cultural equivalence or measurement invariance of the Coach-Athlete Relationship Questionnaire (11-item, athlete version CART-Q).

Design

Cross-sectional study.

Methods

A total of 1363 athletes from Belgium (N = 200), Britain (N = 382), China (N = 200), Greece (N = 115), Spain (N = 120), Sweden (N = 169), and United States of America (N = 177) completed the CART-Q.

Results

Multi-group mean and covariance structure (MACS) analyses supported the factorial validity of the CART-Q in a three-first-order factor model across the seven countries. An examination of the latent mean differences of the CART-Q revealed some variation in terms of the intensity that athletes perceive in the quality of the relationship with their coach across the different countries.

Conclusions

Overall, these results supply additional evidence of the psychometric properties of the CART-Q and highlight that it is a sound instrument that can be applied cross-culturally.     

The Psychometric Properties of Dispositional Flow Scale-2 in Internet Gaming

This study examined the psychometric properties of the Dispositional Flow Scale-2 (DFS-2; Jackson and Eklund in Journal of Sports and Exercise Psychology, 24:133-150, 2002). One thousand five hundred and seventy-eight secondary school students (One thousand and seventy four males, four hundred and eleven females, ninety-three missing) from six schools in Singapore completed the questionnaires. Confirmatory factor analysis (CFA) was used to evaluate the factorial structure of the DFS-2. A nine-first-order factor model was compared to a higher order model with a global flow factor. Support was found for the higher order factor. Multigroup analysis demonstrated invariance of the factor forms, factor loadings, factor variances, and factor covariances across age and sex. The DFS-2 subscales were found to have acceptable reliability estimates, and convergent validity. We conclude that DFS-2 is a valid instrument for assessing global flow experience in Internet gaming.     

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.     

The multidimensionality of test anxiety: A test of different models

Abstract

Confirmatory factor analysis was employed to test the multidimensional structure of test anxiety. Starting with the traditional two-factor model, it was of interest whether additional dimensions could still be represented by a single higher-order factor of test anxiety or whether the additional dimensions represented correlates of test anxiety. The Revised Test Anxiety (RTA) scale and the German Test Anxiety Inventory (TAI-G) were combined collecting data from a binational sample of 218 American and 218 German university students. Considering the statistical and theoretical aspects of model fit, they indicated that a model consisting of three primary factors (worry, emotionality, and lack of confidence) fit the data best. While distraction and self-efficacy may be regarded as correlates of test anxiety, lack of confidence was substantiated as a component of test anxiety. Implications for the conceptualization of the content domain and hence area of test anxiety were discussed.     

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 factor structure and composite reliability of the Rosenberg Self-Esteem Scale among ex-prisoners

The aim of this study was to examine the factor structure and composite reliability of the Rosenberg Self-Esteem Scale (RSES) using a sample of 669 ex-prisoners identified in the National Survey of American Life. Six distinct factor models, with uncorrelated measurement error terms, were specified and tested using confirmatory factor analysis (CFA). Results indicated that the two-factor model consisting of positive and negative latent variables provided a better fit to the data than the alternative models. Moreover, only positive self-esteem was a significant predictor of recidivism. Composite reliability indicated that the two factors were measured with very good reliability. The results consequently provide additional support for a two-dimensional model of the RSES within offender populations.     

Assessing conspiracist beliefs across societies: Validation of the Serbian adaptation of the Generic Conspiracist Beliefs Scale (GCBS)

Initial validation of the Generic Conspiracist Beliefs Scale (GCBS) identified five correlated factors: Government Malfeasance, Malevolent Global Conspiracies, Extraterrestrial Cover-up, Personal Well-being and Control of Information. Despite replications of this structure, ensuing research, mostly using translated versions of the GCBS (i.e., Persian and Japanese), has reported factorial alternatives. Concomitantly, researchers postulated that belief in conspiracies was higher in historically troubled societies (e.g., Serbia). To further assess the cultural stability of the five correlated factor solution and test the assumption that GCBS scores are affected by social-political instability, a Serbian adaptation of the GCBS was assessed alongside the standard English language version. Data were collected from Serbian (n = 259, 44.40% males) and UK samples (n = 402, 52.25% males). Within samples, confirmatory factor analysis replicated the five-factor solution. Additionally, national and gender invariance was confirmed. National comparisons (Serbia vs. UK) revealed that the Serbian sample scored higher on Government Malfeasance, Malevolent Global Conspiracies, Personal Well-being and Control of Information, whereas the UK sample scored higher on Extraterrestrial Cover-up. There were no gender differences on GCBS factors. Findings indicated that while the Serbian GCBS was interpreted similarly to the GCBS, societal factors influenced endorsement of belief facets.     

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.     

Evaluation of the Latin American version of the Life Orientation Test-Revised

The Life Orientation Test (LOT-R) is the most intensively used instrument for the assessment of optimism, but empirical evidence of its psychometric quality in Latin America is lacking. The aim of this study was to test psychometric properties of this questionnaire based on a representative sample of the general population of Colombia (N = 1,500). Confirmatory factor analyses confirmed the bi-dimensionality of the questionnaire with two factors, namely Optimism and Pessimism. The sum scores of the optimism and pessimism subscale correlated with r = ?.12. Convergent validity aspects were studied by correlating LOT-R values with anxiety, depression, quality of life, fatigue, mental health, hopelessness, and self-efficacy. Optimism was more strongly correlated with these variables than pessimism. Normative data and mean values for both genders and different age groups are given. Generally, there were only small age and gender effects. Compared to the German norm data, the Colombian participants scored on average one scale point higher in the dimension of optimism. In summary, the LOT-R in its Spanish version is an appropriate and practical tool for screening purposes in individual diagnostics and epidemiological research in Latin American samples.     

Invariance of the “NEO-PI-R” factor structure across exploratory and confirmatory factor analyses

Confirmatory factor analyses (CFA) carried out in the last decades to test the Five-factor simple structure have generally obtained negative results. McCrae, Zonderman, Costa, Bond, and Paunonen (1996) suggested that CFA limitations were the main cause of such negative results. They also claim that Procrustes Orthogonal rotation method is an adequate procedure to test the replicability of the Five-factor structure. The aim of the present paper is twofold: (A) comparing several Exploratory factor procedures (including the Procrustes rotation) to test what is the most appropriate one to analyse the replicability of the Five-factor structure, and (B) replicating the CFA results of the McCrae et al.’s study with a larger number of subjects. The normative American (N = 1000), and Spanish (2000) standardization samples of the NEO-PI-R, together with an independent university sample (N = 948) were analysed. Results were replicated in the three samples, and suggest that: (1) structural properties of the Five-factor model, as measured by the NEO-PI-R, are invariant irrespective of the Exploratory factor procedure used, and (2) when CFA limitations are surpassed, the Five-factor structure is supported.     

大学生择业价值取向调查问卷的编制及初步研究

通过对影响大学生职业决策因素的基线调查,编制大学生择业价值取向调查问卷,进而分析影响大学生职业选择的因素及大学生择业观。结果表明(1)影响大学生职业决策的因素依次为工资福利、自我价值的实现、专业及个人兴趣、工作环境、社会需要、工作稳定性、生活环境等;(2)量表具有较高的信度和效度;(3)大学生择业价值观具有社会取向和个人取向两个维度,而且大学生更倾向于个人取向;(4)不同性别大学生择业价值观并不存在显著性差异,但对择业标准的认识上可能不同。     

Measurement invariance tests of the Impression Management sub-scale of the Balanced Inventory of Desirable Responding

The Impression Management (IM) subscale of the Balanced Inventory of Desirable Responding (Paulhus, 1988) has been used as a proxy for common method variance in anonymous settings and as a cause of faking on personality testing in confidential settings. This study uses confirmatory factor analysis to conduct measurement invariance/equivalence tests (also known as multiple group analysis) on the IM subscale in a quasi-experiment in anonymous and confidential data collection settings. Using Brown’s (2006) bottom-up approach to Cheung and Rensvold’s (1999) model testing steps and Cheung and Rensvold’s (2002) statistical tests, the IM sub-scale was determined to have equal form, equal factor loadings, equal indicator error variances, equal factor variance, and an equal factor covariance in both 1-factor and 2-factor models in both data collection settings. Mean scale scores were significantly higher in the confidential group than in the anonymous group. These results suggest that using the IM sub-scale as a cause of faking and as a proxy for common method variance (CMV) is likely to be acceptable because the psychometric properties of the instrument are invariant across testing conditions.     

Using a Few Snapshots to Distinguish Mountains from Waves: Weak Factorial Invariance in the Context of Trait-State Research

In this article, we show that the underlying dimensions obtained when factor analyzing cross-sectional data actually form a mix of within-person state dimensions and between-person trait dimensions. We propose a factor analytical model that distinguishes between four independent sources of variance: common trait, unique trait, common state, and unique state. We show that by testing whether there is weak factorial invariance across the trait and state factor structures, we can tackle the fundamental question first raised by Cattell; that is, are within-person state dimensions qualitatively the same as between-person trait dimensions? Furthermore, we discuss how this model is related to other trait-state factor models, and we illustrate its use with two empirical data sets. We end by discussing the implications for cross-sectional factor analysis and suggest potential future developments.